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檜垣徹 (Toru Higaki)

• 広島大学大学院先進理工系科学研究科 情報科学プログラム ビジュアル情報学研究室
  （兼）広島大学大学院医系科学研究科 先進画像診断開発共同研究講座
  （兼）広島大学AI・データイノベーション教育研究センター

• 准教授

• 博士（工学）

• h i g a k i [a t] h i r o s h i m a - u . a c . j p

略歴

• 2021/10- 広島大学大学院 先進理工系科学研究科 情報科学プログラム 准教授

• 2019/4- 広島大学大学院 医系科学研究科 先進画像診断開発共同研究講座准教授

• 2018/4- 広島大学大学院 医歯薬保健学研究科 先進画像診断開発共同研究講座准教授

• 2016/4- 広島大学大学院 医歯薬保健学研究科 特任准教授

• 2011/4- 広島大学大学院 医歯薬保健学研究院 特任助教

• 2011/3 広島大学大学院 工学研究科 博士課程修了 博士（工学）

• 2009/4-2011/3 (大学院在学中)日本学術振興会 特別研究員 (DC2)

• 2008/8-2009/7 (大学院在学中) Harvard Medical School, Brigham and Women's Hospitalにて研究員

• 2008/4- 広島大学大学院 工学研究科 博士課程入学

研究テーマ

Medical Image Processing & Analysis

• Image Registration

• Volume Rendering

• Diffusion Weighted MRI

• Diffusion Tensor MRI

• Functional Imaging / Imaging Biomarker

• Image Quality

• Machine Learning

CT Imaging Techniques

• CT Image Reconstruction

• Dual-energy CT

• Perfusion CT

Others

• 3D Printer

• Computer simulation for Contrast-Enhancement CT/MR

学位論文

1. コンピュータ診断支援のための医用画像位置あわせ・表示法に関する研究【博士（工学）】

著書

1. 粟井和夫, 中村優子, 立神史稔, 谷　千尋, 福本　航, 檜垣　徹（分担執筆）. エビデンスに基づくCT用造影剤の投与と安全対策. メジカルビュー社. 2024.

2. 粟井和夫，立神史稔，本田有紀子，中村優子，福本航，檜垣徹（分担執筆）．CT縦横無尽. メジカルビュー社．2023.

3. 粟井和夫・檜垣徹（編著）．CTにおける造影シミュレーション pCOPの基礎と臨床応用．医療科学社．2022/6/22.

4. 井川房夫・藤田広志（編）．これだけでわかる! 医療AI．中外医学社．2021/5/6．（II-2担当）

5. 粟井和夫（編）．Dual-energy CT 原理を理解し臨床で活用する．メジカルビュー社．2019．（3章，4章担当）

6. 粟井和夫・陣崎雅弘（編）．最新Body CT診断 検査の組み立てから読影まで．メディカルサイエンスインターナショナル．2018．(1章, 4章担当)

7. Awai K, Higaki T, Tatsugami F. Contrast enhancement at CT. In: Nikolaou K, Bamberg F, Laghi A, Rubin GD, editors. Multislice CT. 4th ed. Cham: Springer; 2017. pp. 81-101.

8. 藤田広志・石田隆行・桂川茂彦（監），原武史・目加田慶人・加野亜紀子・羽石秀昭（編）．医用画像解析ハンドブック．オーム社．2012; 786-791 (付録C, D, E担当).

査読付き研究論文

1. Tatsugami F, Higaki T, Kawashita I, Fujioka C, Nakamura Y, Takahashi S, Awai K. Deep-learning image reconstruction on low keV virtual monochromatic dual-energy CT images improves the image quality of the Adamkiewicz artery. Acta Radiol. 2024; in press.

2. Katayama K, Higaki T, Kaneda K, Raytchev B, Fukumoto W, Mitani H. Real-Time Intuitive Interaction and Realistic Illumination for CT Volume Rendering.  IIEEJ Transactions on Image Electronics and Visual Computing. Vol.12, No.1, pp.32-39, 2024.

3. Higaki T, Tatsugami F, Ohana M, Nakamura Y, Kawashita I, Awai K. Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study. Eur J Radiol Open. 2024; 12: 100570. https://doi.org/10.1016/j.ejro.2024.100570

4. 木寺信夫, 藤岡知加子, 檜垣　徹, 西丸英治, 横町和志, 松本頼明, 木口雅夫, 大橋一也, 笠井治昌, 粟井和夫. 【高分解能撮影モードとdeep learningを用いた画像再構成法を併用した冠動脈CTA検査における最適な撮影条件の検討. 日本放射線技術学会雑誌. 2024; 80: 499-509. https://doi.org/10.6009/jjrt.2024-1353 

5. Masuda T, Nakaura T, Higaki T, Funama Y, Matsumoto Y, Sato T, Okimoto T, Arao K, Imaizumi H, Arao S, Ono A, Hiratsuka J, Awai K. Using patient-specific contrast enhancement optimizer simulation software during the transcatheter aortic valve implantation-computed tomography angiography in patients with aortic stenosis. J Comput Assist Tomogr. 2024; Online ahead of print. https://doi.org/10.1097/RCT.0000000000001603

6. Nishihara T, Nakamura Y, Yoshizawa N, Takizawa M, Shirai T, Higaki T, Honda Y, Awai K, Bito Y. Nature of the intracellular-contrast-enhancing fat-saturated T1-weighted gradient-echo (ICE-TIGRE) sequence: A fat-suppressed T1-weighted technique with motion-sensitised driven-equilibrium for improved contrast enhancement in liver imaging. Magn Reson Med Sci. 2024; Online ahead of print. https://doi.org/10.2463/mrms.tn.2023-0104

7. Kaichi Y, Okada G, Takamura M, Akiyama Y, Honda Y, Higaki T, Tatsugami F, Tani C, Okamoto Y, Awai K. Effect of fatigue on the brain activity of radiologists while reading images. Hiroshima J. Med. Sci. 2023; 33-9.

8. Yuki Mikamoto, Yoshiki Kaminaka, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda. Spectral Super-Resolution for High Dynamic Range Images. Journal of Imaging, Vol. 9, Issue 4, Article 83, 2023.

9. 上中喜生, 檜垣徹, Bisser Raytchev, 金田和文. 表面粗さを考慮した薄膜干渉のスペクトラルレンダリング. 画像電子学会誌, Vol. 52, No. 4, pp. 507-515, Oct. 2023.

10. Kondo S, Nakamura Y, Higaki T, Nishihara T, Takizawa M, Shirai T, Fujimori M, Bito Y, Narita K, Sueoka T, Honda Y, Tani C, Awai K. Utility of wavelet denoising with geometry factor weighting for gadoxetic acid-enhanced hepatobiliary-phase MR imaging. Magn Reson Med Sci. 2023; 22: 241-52. https://doi.org/10.2463/mrms.mp.2022-0041

11. Matsumoto Y, Fujioka C, Yokomachi K, Kitera N, Nishimaru E, Kiguchi M, Higaki T, Kawashita I, Tatsugami F, Nakamura Y, Awai K. Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT. Sci Rep. 2023; 13: 3636. https://doi.org/10.1038/s41598-023-30786-7

12. Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Mitani H, Fukumoto W, Tani C, Chosa K, Tatsugami F, Awai K. Iodine maps derived from sparse-view kV-switching dual-energy CT equipped with a deep learning reconstruction for diagnosis of hepatocellular carcinoma. Sci Rep. 2023; 13: 3603. https://10.1038/s41598-023-30460-y

13. Tatsugami F, Higaki T, Kawashita I, Fukumoto W, Nakamura Y, Matsuura M, Lee T C, Zhou J, Cai L, Kitagawa T, Nakano Y, Awai K. Improvement of spatial resolution on coronary CT angiography by using super-resolution deep learning reconstruction. Acad Radiol. 2023; 30: 2497-504. https://doi.org/10.1016/j.acra.2022.12.044

14. Watanabe T, Nakamori M, Ishikawa K, Motoda A, Neshige S, Yamamoto S, Katahira K, Higaki T, Ueno H, Iizuka T, Maruyama H. Reversible Brain Atrophy in Cryptogenic New-onset Refractory Status Epilepticus: A Case Report. Intern Med. 2022 Nov 9. doi: 10.2169/internalmedicine.0465-22. Online ahead of print. 

15. Kitera N, Fujioka C, Higaki T, Nishimaru E, Yokomachi K, Kiguchi M, Awai K. Performance of Ultra-High-Resolution Computed Tomography in Super High-Resolution Mode at the Routine Radiation Dose: Phantom Study. J Comput Assist Tomogr. 2022 Nov-Dec 01;46(6):900-905. doi: 10.1097/RCT.0000000000001351. Epub 2022 Jun 18. 

16. Terada H, Higaki T, Takebe H, Baba T, Miyazaki N, Moriwaki Y, Sakane H, Fukumoto W, Awai K. Content-based CT image retrieval system using deep learning: Preliminary assessment of its accuracy for classifying lesion patterns and retrieving similar cases among patients with diffuse lung diseases. Hiroshima J. Med. Sci. 2022; 71: 9-22. https://doi.org/10.24811/hjms.71.1-2_9 

17. Masuda T, Higaki T, Nakaura T, Funama Y, Matsumoto Y, Sato T, Okimoto T, Gotanda R, Arao K, Imaizumi H, Arao S, Hiratsuka J, Awai K. Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography. Heart Vessels. 2022 Jan 13. doi: 10.1007/s00380-022-02024-z. Online ahead of print. 

18. Masuda T, Nakaura T, Higaki T, Funama Y, Sato T, Masuda S, Yoshiura T, Arao S, Hiratsuka J , Hirai T, Awai K. Prediction of aortic contrast enhancement on dynamic hepatic CT ? performance comparison of machine-learning methods and simulation software. J Comput Assist Tomogr. 46(2):183-189. DOI:10.1097/rct.0000000000001273

19. 粟屋禎一，飯沼武，牛尾剛己，江草弘基，小林英里佳，檜垣徹，赤山幸一，粟井和夫，永澤昌，中西敏夫．三次市における5年間の低線量CT肺がん検診の報告．広島医学．2021; 74: 323-8.

20. Goto K, Honda Y, Ikeda K, Takemoto K, Higaki T, Hayashi T, Kobatake K, Nakamura Y, Sekino Y, Inoue S, Awai K, Yasui W, Teishima J. Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment. Sci Rep. 2021; 11: 14251. https://doi.org/10.1038/s41598-021-93414-2

21. Mitani H, Tatsugami F, Higaki T, Kaichi Y, Nakamura Y, Smit E, Prokop M, Ono C, Ono K, Korogi Y, Awai K. Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study. Neuroradiology. 2021; in press. https://doi.org/10.1007/s00234-021-02745-4

22. Fukumoto W, Mitani H, Kuno Y, Higaki T, Tatsugami F, Nakamura Y, Nagao M, Awai K.  Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography study.  Eur Radiol. 2021 Apr 16. doi: 10.1007/s00330-021-07932-8. Online ahead of print.

23. Narita K, Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Akagi M, Honda Y, Iida M, Awai K.  Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images.  J Comput Assist Tomogr. 2021 Mar 3. doi: 10.1097/RCT.0000000000001139. Online ahead of print.

24. Nakamura Y, Narita K, Higaki T, Akagi M, Honda Y, Awai K.  Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.  Eur Radiol. 2021 Jan 3. doi: 10.1007/s00330-020-07566-2. Online ahead of print.

25. Akagi M, Nakamura Y, Higaki T, Narita K, Honda Y, Awai K.  Deep learning reconstruction of equilibrium phase CT images in obese patients.  Eur J Radiol. 2020 Dec;133:109349. doi: 10.1016/j.ejrad.2020.109349. Epub 2020 Oct 28.

26. Toko M, Ueno H, Kitamura J, Nemoto K, Ohshita T, Ochi, Higaki T, Akiyama Y, Awai K, Maruyama H.  Prospective memory deficits in multiple sclerosis: Voxel-based morphometry and double inversion recovery analysis. Intern Med. 2021;60(1):39-46. doi: 10.2169/internalmedicine.5058-20. Epub 2021 Jan 1.

27. Fukumoto W, Nagaoka M, Higaki T, Tatsugami F, Nakamura Y, Oostveen L, Klein W, Prokop M, Awai K. Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study. Eur J Radiol Open. 2020; 7: 100253. https://doi.org/10.1016/j.ejro.2020.100253

28. Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K.  Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance Angiograms.  Curr Med Imaging. 2021;17(3):396-403.  doi: 10.2174/1573405616999200730180533.

29. Narita K, Nakamura Y, Higaki T, Akagi M, Honda Y, Awai K. Deep Learning Reconstruction of Drip-Infusion Cholangiography Acquired With Ultra-High-Resolution Computed Tomography. Abdom Radiol (NY). 2020 Apr 4. doi: 10.1007/s00261-020-02508-4. 

30. Kawahara D, Ozawa S, Yokomachi K, Higaki T, Shiinoki T, Fujioka C, Saito A, Miki K, Kimura T, Murakami Y, Awai K, Nagata Y. Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners. Phys Eng Sci Med. 2020 Jun;43(2):539-546.

31. Matsumoto Y, Higaki T, Arataki K, Masuda T, Sato T, Fukumoto W, Nakamura Y, Tatsugami F, Awai K. Individual optimization of contrast media injection protocol at hepatic dynamic CT using contrast enhancement optimizer.  J Comput Assist Tomogr. 2020 Mar/Apr;44(2):230-235.

32. Masuda T, Nakaura T, Funama Y, Sato T, Higaki T, Matsumoto Y, Yamashita Y, Imada N, Kiguchi M, Baba Y, Yamashita Y, Awai K. Contrast enhancement on 100- and 120 kVp hepatic CT scans at thin adults in a retrospective cohort study: Bayesian inference of the optimal enhancement probability. Medicine. 2019; 98(47): e17902.

33. Matsubara Y, Higaki T, Tani C, Kamioka S, Harada K, Aoyama H, Nakamura Y, Akita T, Awai K. Demonstration of human fetal bone morphology with MR imaging: a preliminary study. Magn Reson Med Sci. 2019 Oct 15.

34. Higaki T, Nakamura Y, Zhou J, Yu Z, Nemoto T, Tatsugami F, Awai K.  Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics. Academic Radiology. 2020; 27(1): 82-87.

35. Kawahara D, Ozawa S, Yokomachi K, Higaki T, Shiinoki T, Ohno Y, Murakami Y, Awai K, Nagata Y.  Evaluation of raw-data-based and calculated electron density for contrast media with a dual-energy CT technique.  Rep Pract Oncol Radiother. 2019 Sep-Oct.

36. Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Taguchi H, Ito Y, Tsushima S, Iida M, Awai K. Deep Learning–based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases. Radiology Artificial Intelligence. 2019 Oct.

37. Kawahara D, Ozawa S, Yokomachi K, Higaki T, Shiinoki T, Saito A, Kimura T, Nishibuchi I, Takahashi I, Takeuchi Y, Imano N, Kubo K, Mori M, Ohno Y, Murakami M, Nagata Y. Metal artifact reduction techniques for single energy CT and dual-energy CT with various metal materials. British Journal of Radiology Open. 2019; 1(1). doi.org/10.1259/bjro.20180045

38. Kawahara D, Ozawa S, Yokomachi K, Higaki T, Fujioka C, Mori M, Nagata Y. Improving automatic contrast agent extraction system using monochromatic CT number. Australas Phys Eng Sci Med. 2019 May 20. doi: 10.1007/s13246-019-00762-5. [Epub ahead of print]

39. Akagi M, Nakamura Y, Higaki T, Narita K, Honda Y, Zhou J, Yu Z, Akino N, Awai K. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT. Eur Radiol. 2019; in press. https://doi.org/10.1007/s00330-019-06170-3

40. Tatsugami F, Higaki T, Nakamura Y, Yu Z, Zhou J, Lu Y, Fujioka C, Kitagawa T, Kihara Y, Iida M, Awai K. Deep learning-based image restoration algorithm for coronary CT angiography. Eur Radiol. 2019 Oct; 29(10):5322-5329.

41. Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Matsubara Y, Kamioka S, Akiyama Y, Iida M, Awai K.  Pseudo-random Trajectory Scanning Suppresses Motion Artifacts on Gadoxetic Acid-enhanced Hepatobiliary-phase Magnetic Resonance Images.  Magn Reson Med Sci. 2019 Mar 18.

42. Masuda T, Nakaura T, Funama Y, Sato T, Nitta T, Higaki T, Baba Y, Matsumoto Y, Imada N, Awai K. Effect of patient characteristics on vessel enhancement in pediatric chest CT angiography. Can Assoc Radiol J. 2018 May; 70(2):181-185.

43. Masuda T, Nakaura T, Funama Y, Okimoto T, Sato T, Higaki T, Noda N, Imada N, Baba Y, Awai K. Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS. J Cardiovasc Comput Tomogr. 2019 Mar-Apr; 13(2):163-169.

44. Matsumoto Y, Higaki T, Masuda T, Sato T, Nakamura Y, Tatsugami F, Awai K. Minimizing individual variations in arterial enhancement on coronary CT angiographs using "contrast enhancement optimizer": A prospective randomized single-center study. European Radiology, 2019 Jun; 29(6):2998-3005.

45. Kaichi Y, Tatsugami F, Nakamura Y, Baba Y, Iida M, Higaki T, Kiguchi M, Tsushima S, Yamasaki F, Amatya VJ, Takeshima Y, Kurisu K, Awai K. Improved differentiation between high- and low-grade gliomas by combining dual-energy CT analysis and perfusion CT. Medicine. 2018; 97(32): e11670.

46. Kawahara D, Ozawa S, Tanaka S, Higaki T, Yokomachi K, Fujioka C, Saitoh A, Suzuki T, Tsuneda M, Nakashima T, Ohchi Y, Okumura T, Ohno Y, Nagata Y. Automatic Contrast Medium Extraction System Using Electron Density Data with Dual-Energy CT. British Journal of Radiology. 2018; 91(1090): 20180396.

47. Bayasgalan E, Higaki T, Fukumoto W, Nakmaura Y, Chosa K, Tatsugami F, Baba Y, Awai K. Improved detectability of hyper-dense nodules with dual-energy CT scans: Phantom study using simulated liver harboring nodules. Hiroshima J Med Sci. 2018; 67(3):63-69.

48. Yokomachi K, Tatsugami F, Higaki T, Kume S, Sakamoto S, Okazaki T, Kurisu K, Nakamura Y, Baba Y, Iida M, Awai K. Neointimal formation after carotid artery stenting: phantom and clinical evaluation of model-based iterative reconstruction (MBIR). Eur Radiol. 2019 Jan; 29(1):161-167.

49. Tamura T, Takasu M, Higaki T, Yokomachi K, Akiyama Y, Sumida H, Nagata Y, Awai K.  How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted Imaging.  Magnetic Resonance in Medical Sciences. 2019; 18(2):119-125.

50. Masuda T, Nakaura T, Funama Y, Sato T, Higaki T, Kiguchi T, Matsumoto Y, Yamashita Y, Imada N, Awai K. Development and Validation of Generalized Linear Regression Models to Predict Vessel Enhancement on Coronary CT Angiography. Korean Journal of Radiology. 2018; 19(6): 1021-1030.

51. Higaki T, Nakaura T, Kidoh M, Yuki H, Yamashita Y, Nakamura Y, Tatsugami F, Baba Y, Ida M, Awai K. Effect of contrast material injection duration on arterial enhancement at CT in patients with various cardiac indices: Analysis using computer simulation. PLOS ONE. 2018; 13: e0191347.

52. Kawahara D, Ozawa S, Tanaka S, Higaki T, Yokomachi K, Fujioka C, Saitoh A, Suzuki T, Tsuneda M, Nakashima T, Ohchi Y, Okumura T, Ohno Y, Nagata Y. Accuracy of the raw-data based effective atomic numbers and monochromatic CT numbers for contrast medium with a dual-energy CT technique. British Journal of Radiology. 2018; 91(1082): 20170524.

53. Akagi M, Nakamura Y, Higaki T, Matsubara Y, Terada H, Honda Y, Tatsugami F, Baba Y, Iida M, Awai K. Preliminary results of high-precision computed diffusion weighted imaging for the diagnosis of hepatocellular carcinoma at 3 Tesla. J Comput Assist Tomogr. 2018 May/Jun; 42(3):373-379.

54. Nakamura Y, Kawaoka T, Higaki T, Fukumoto W, Honda Y, Iida M, Fujioka C, Kiguchi M, Aikata H, Chayama K, Awai K.  Hepatocellular carcinoma treated with sorafenib: Hepatic perfusion CT as early imaging biomarkers for survival.  European Journal of Radiology. 2018; 98: 41-49.

55. Tatsugami F, Higaki T, Sakane H, Nakamura Y, Iida M, Baba Y, Fujioka C, Senoo A, Kitagawa T, Yamamoto H, Kihara Y, Awai K.  Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: Initial experience. British Journal of Radiology. 2018; 91(1082): 20170598.

56. Masuda T, Nakaura T, Funama Y, Sato T, Higaki T, Kiguchi T, Yamashita Y, Imada N, Awai K. Effect of Patient Characteristics on Vessel Enhancement at Lower Extremity using CT Angiography. Korean Journal of Radiology. 2018; 19: e32.

57. Fukumoto W, Higaki T, Iwakado Y, Tatsugami F, Baba Y, Iida M, Awai K. Quantification of the salivary volume flow rate in the parotid duct using time-spatial labeling inversion pulse (Time-SLIP) technique at MRI: Feasibility study. Journal of Magnetic Resonance Imaging. 202018 Apr;47(4):928-935.

58. Higaki T, Tatsugami F, Fujioka C, Sakane H, Nakamura Y, Baba Y, Iida M, Awai K. Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique. Data in Brief. 2017; 13: 437-443.

59. Watanabe N, Kurisu S, Sumimoto Y, Ikenaga H, Shimonaga T, Higaki T, Tatsugami F, Ishibashi K, Kitagawa T, Dohi Y, Fukuda Y, Yamamoto H, Awai K, Kihara Y. Use of the augmentation index from applanation tonometry of the radial artery for assessing the extent of coronary artery calcium as assessed by coronary computed tomography. Clinical and experimental hypertension. 2017; 39: 355-360.

60. Kidoh M, Nakaura T, Funama Y, Shimonobo T, Shirasaka T, Hatemura M, Utsunomiya D, Oda S, Yuki H, Namimoto T, Higaki T, Awai K, Yamashita Y. Paradoxical effect of cardiac output on arterial enhancement at computed tomography: does cardiac output reduction simply result in an increase in aortic peak enhancement? J Comput Assist Tomogr. 2017; 41: 349-353.

61. Honda Y, Goto K, Nakamura Y, Terada H, Sentani K, Yasui W, Sekino Y, Hayashi T, Teishima J, Matsubara A, Fuji T, Kaichi Y, Higaki T, Baba Y, Iida M, Awai K. Imaging features of papillary renal cell carcinoma with cystic change-dominant appearance in the era of the 2016 WHO classification. Abdominal Imaging. 2017; 42: 1850-1856.

62. Yamamoto H, Kitagawa T, Susawa H, Hata Y, Tatsugami F, Higaki T, Awai K, Kihara Y. Occasionally increased 18F-fluorodeoxyglucose uptake in apical hypertrophic cardiomyopathy with mid-ventricular obstruction. J Cardiol Cases. 2017; 16(2): 44-47.

63. Tsegmed U, Kimura T, Nakashima T, Nakamura Y, Higaki T, Imano N, Doi Y, Kenjo M, Ozawa S, Murakami Y, Awai K, Nagata Y. Functional image-guided stereotactic body radiation therapy planning for patients with hepatocellular carcinoma. Med Dosim. 2017; 42: 97-103.

64. Masuda T, Nakaura T, Funama Y, Higaki T, Kiguchi M, Imada N, Sato T, Awai K. Aortic and hepatic contrast enhancement during hepatic-arterial and portal venous phase computed tomography scanning: Multivariate linear regression analysis using age, sex, total body weight, height, and cardiac output. J Comput Assist Tomogr. 2017; 41: 309-314.

65. Fujita M, Higaki T, Awaya Y, Nakanishi T, Nakamura Y, Tatsugami F, Baba Y, Iida M, Awai K. Lung cancer screening with ultra-low dose CT using full iterative reconstruction. Jpn J Radiol. 2017; 35: 179-189.

66. Tatsugami F, Higaki T, Sakane H, Fukumoto W, Kaichi Y, Iida M, Baba Y, Kiguchi M, Kihara Y, Tsuhima S, Awai K. Coronary artery stent evaluation with model-based iterative reconstruction at coronary CT angiography. Academic Radiology. 2017; S1076-6332(17): 30045-4.

67. Shintakuya R, Uemura K, Murakami Y, Kondo N, Nakagawa N, Urabe K, Okano K, Awai K, Higaki T, Sueda T. Sarcopenia is closely associated with pancreatic exocrine insufficiency in patients with pancreatic disease. Pancreatology. 2017; 17: 70-75.

68. Nomura Y, Higaki T, Fujita M, Miki S, Awaya Y, Nakanishi T, Yoshikawa T, Hayashi N, Awai K. Effects of Iterative reconstruction algorithms on computer-assisted detection (CAD) software for lung nodules in ultra-low-dose CT for lung cancer screening. Academic Radiology. 2017; 24: 124-130.

69. Tatsugami F, Higaki T, Sakane H, Fukumoto W, Kaichi Y, Iida M, Fujioka C, Kihara Y, Tsushima S, Awai K. Coronary CT angiography in patients with implanted cardiac devices: initial experience with the metal artifact reduction technique. British Journal of Radiology. 2016; 89: 20160493.

70. Nakamura Y, Higaki T, Akiyama Y, Fukumoto W, Kajiwara K, Kaichi Y, Honda Y, Komoto D, Tatsugami F, Iida M, Ohmoto T, Date S, Awai K. Diffusion-weighted MR imaging of non-complicated hepatic cysts: value of 3T computed diffusion-weighted imaging. European Journal of Radiology Open. 2016; 3: 138-144.

71. Tatsugami F, Higaki T, Fukumoto W, Kaichi Y, Iida M, Fujioka C, Kiguchi M, Kihara Y, Awai K. Effect of the motion correction technique on image quality at 320-detector CT coronary angiography in patients with atrial fibrillation. J Comput Assist Tomogr. 2016; 40: 603-608.

72. 粟屋禎一, 佐野由佳, 檜垣徹, 中増昭久, 藤田正代, 福山幸, 赤山幸一, 原田宏海, 粟井和夫, 中西敏夫．三次市における低線量CTを用いた初回肺がん検診の報告. 広島医学. 2016; 69: 729-735.

73. Kaichi Y, Okada G, Takamura M, Toki S, Akiyama Y, Higaki T, Matsubara Y, Okamoto Y, Yamawaki S, Awai K. Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder. Journal of Affective Disorders. 2016; 194: 135-143.

74. Komoto D, Iida K, Higaki T, Kaichi Y, Takauchi K, Arihiro K, Kakita A, Hirokawa Y, Awai K. Diagnostic Performance of Positron Emission Tomography for the Presurgical Evaluation of Patients with Non-lesional Intractable Partial Epilepsy: Comparison among 18F-FDG, 11C-Flumazenil, and 11C-Flumazenil Binding Potential Imaging Using Statistical Imaging Analysis. Hiroshima J Med Sci. 2015; 64: 51-57.

75. Kaichi Y, Kenjo M, Higaki T, Tatsugami F, Akiyama Y, Nagata Y, Awai K. Cerebral blood flow in transient hypothyroidism after thyroidectomy: Arterial spin labeling magnetic resonance study. Neuro Endocrinol Lett. 2015; 36: 545-551.

76. Nakamura Y, Kimura T, Higaki T, Honda Y, Komoto D, Yamagami T, Iida M, Nagata Y, Honda Y, Aikata H, Chayama K, Awai K. Clinical utility of gadoxetate disodium-enhanced hepatic MRI for stereotactic body radiotherapy of hepatocellular carcinoma. Japanese J. Radiology. 2015; 33: 627-635.

77. Fukumoto W, Nakamura Y, Higaki T, Tatsugami F, Iida M, Awai K. Additional Value of Diffusion-weighted MRI to Gd-EOB-DTPA-enhanced Hepatic MRI for the Detection of liver Metastasis:the Difference Depending on the Experience of the Radiologists. Hiroshima Journal of Medical Sciences. 2015; 64: 15-21.

78. Tatsugami F, Higaki T, Fukumoto W, Kaichi Y, Fujioka C, Kiguchi M, Yamamoto H, Kihara Y, Awai K. Radiation dose reduction for coronary artery calcium scoring at 320-detector CT with adaptive iterative dose reduction 3D. Intl J. Cardiovascular Imaging. 2015; 31: 1045-1052.

79. Tatsugami F, Higaki T, Nakamura Y, Yamagami T, Shuji Date, Chikako Fujioka, Masao Kiguchi, Kazuo Awai. A new technique for noise reduction at coronary CT angiography with multi-phase data-averaging and non-rigid image registration. European Radiology. 2015; 25: 41-48.

80. Awai K, Higaki T, Tatsugami F. Clinically essential requirement for brain CT with iterative reconstruction. British J. Radiology. 2014; 87: 20140474.

81. Takaki Y, Aoyama M, Komoto D, Higaki T, Hiura S, Awai K. Computerized determination of the likelihood of malignancy of pulmonary nodules using high-resolution CT- and positron emission tomography scans. Advanced Biomedical Engineering. 2014; 3: 116-122.

82. Tatsugami F, Higaki T, Tanigushi A, Kigushi M, Tsushima S, Date S, Awai K. Measurement of electron density and effective atomic number by dual energy scan using a 320-detector CT scanner with raw data-based analysis: A phantom study. J. Computed Assist Tomography. 2014; 38: 824-827.

83. Honda Y, Higaki T, Higashihori H, Monzen Y, Tatsugami F, Date S, Awai K. Re-evaluation of detectability of liver metastases by contrast-enhanced CT: Added value of hepatic arterial phase imaging. Japanese Journal of Radiology. 2014; 32: 467-475.

84. 檜垣徹, 柴田卓也, Bisser Raytchev, 玉木徹, 金田和文. 境界情報と画素値を持つ形状モデルによるCT画像からの左心室セグメンテーション - モデルデータを用いた精度検証 -. 画像電子学会誌. 2014; 43: 330-337.

85. 岡林慶，檜垣徹，Bisser Raychev，玉木徹，金田和文，曽根隆志，木内良明．眼球運動を考慮した眼底断面画像の位置合わせ手法．画像電子学会誌．2011; 40(4): 609-614.

86. 檜垣徹，金田和文，波多伸彦．SPECTアトラスデータを用いた心臓CT/SPECTの位置あわせ手法．医用画像情報学会誌. 2010; 27(4):105-110.

87. Nishihashi K, Higaki T, Okabe O, Raytchev B, Tamaki T, KanedaK. Volume Rendering using Grid Computing for Large-Scale Volume Data. International Journal of CAD/CAM. 2009; 9(1): 111-120.

88. 檜垣徹，玉木徹，金田和文，曽根隆，三嶋弘，木内良明．構造規則性を考慮した円柱形状ボリュームデータの直接表示手法．電子情報通信学会．2008; Vol.J91-D(7): 1808-1817.

89. Higaki T, Tamaki T, Kaneda K, Date N, Azemoto S. Non-rigid Image Registration for Medical Diagnosis using Free-form Deformation with Multiple Grids. The Journal of the IIEEJ. 2008; 37(3): 286-292.

総説論文

1. 檜垣徹，中村優子，立神史稔，粟井和夫．医療分野におけるフォトンカウンティング型X線検出器CT．非破壊検査．2024; 73: 184-190. 

2. 檜垣徹．深層学習を応用したさまざまなCT画像再構成法．日本放射線技術学会雑誌，2024; 80(1): pp.112-117. 

3. Nakamura Y, Higaki T, Kondo S, Kawashita I, Takahashi I, Awai K. An introduction to photon-counting detector CT (PCD CT) for radiologists. Jpn J Radiol. 2023; 41: 266-82. https://doi.org/10.1007/s11604-022-01350-6  (with peer review)

4. 本田有紀子，三谷英範，中村優子，帖佐啓吾，檜垣徹，川下郁生，粟井和夫，三原直樹，服部稔，蓮沼直子，佐伯勇，髙橋信也．【図説】仮想現実を利用した医学教育のための画像誘導下治療シミュレーターの開発．広島医学．2022; 75: 457-8. 

5. 檜垣徹，中村優子，立神史稔，粟井和夫．造影シミュレーションを用いた造影剤投与設定．日獨医報. 2022; 66(1): 52-62.

6. 檜垣徹．放射線科領域のデジタル機器の進歩 〜CT装置の進歩と様々なAI技術〜．広島歯科医学雑誌，2022; 47(1), 7-14.

7. Tatsugami F, Higaki T, Nakamura Y, Honda Y, Awai K. Dual-energy CT: Minimal essentials for radiologists. Jpn J Radiol. 2022 Jan 4. doi: 10.1007/s11604-021-01233-2. Online ahead of print. 

8. 檜垣徹，川下郁生，粟井和夫．CTの新技術により画像診断の何が変わったのか，何が変わるのか．医用画像情報学会雑誌，2021; 38(3), 114-120.

9. 檜垣徹，小鷹狩賢司，西丸英治，中村優子，立神史稔，粟井和夫．CT ファントムにおける新たな潮流．日本放射線技術学会雑誌．2021; 77: 524-530. https://doi.org/10.6009/jjrt.2021_JSRT_77.5.524

10. Nakamura Y, Higaki T, Honda Y, Tatsugami F, Tani C, Fukumoto W, Narita K, Kondo S, Akagi M, Awai K., Advanced CT techniques for assessing hepatocellular carcinoma.  Radiol Med. 2021 May 5. doi: 10.1007/s11547-021-01366-4. Online ahead of print.

11. Nakaura T, Higaki T, Awai K, Ikeda O, Yamashita Y.  A primer for understanding radiology articles about machine learning and deep learning.  DIAGNOSTIC AND INTERVENTIONAL IMAGING.  2020 Dec;101(12):765-770. doi: 10.1016/j.diii.2020.10.001.

12. Nakamura Y, Higaki T, Tatsugami F, Honda Y, Narita K, Akagi M, Awai K. Possibility of deep learning in medical imaging focusing improvement of CT image quality. J Comput Assist Tomogr. 2020; 44(2): 161-167. doi: 10.1097/RCT.0000000000000928 (with peer review)

13. 中村優子，赤木元紀，成田圭吾，本田有紀子，海地陽子，檜垣徹，飯田慎，粟井和夫。【マネジメントに苦慮する疾患:Is it benign,malignant or insignificant?】EOB-MRIによる非多血性低信号結節に対するマネジメント. 日獨医報. 2020; 65: 31-42.

14. Honda Y, Nakamura Y, Teishima J, Goto K, Higaki T, Narita K, Akagi M, Terada H, Kaichi Y, Fujii S, Hayashi T, Matsubara A, Sentani K, Yasui W, Iida M, Awai K.  Clinical staging of upper urinary tract urothelial carcinoma for T staging: Review and pictorial essay.  Int J Urol. 2019. doi: 10.1111/iju.14068. [Epub ahead of print] (with peer review)

15. Higaki T, Nakamura Y, Fukumoto W, Honda Y, Tatsugami F, Awai K.  Clinical Application of Radiation Dose Reduction at Abdominal CT.  European Journal of Radiology.  Eur J Radiol. 2019;111:68-75.  (with peer review)

16. Higaki T, Nakamura Y, Tatsugami F, Nakaura T, Awai K.  Improvement of image quality at CT and MRI using deep learning.  Japanese Journal of Radiology. 2019; 37(1): 73-80. (with peer review)

17. 檜垣徹．放射線科医のための機械学習入門．日本インターベンショナルラジオロジー学会雑誌．2018; 33(1): 12-18.

18. Higaki T, Nakamura Y, Tatsugami F, Kaichi Y, Akagi M, Akiyama Y, Baba Y, Iida M, Awai K.  Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists.  RadioGraphics. 2018; 38: 1134-1144. (with peer review)

19. 粟井和夫，檜垣徹，立神史稔，中村優子，馬場康貴，飯田慎，藤岡知可子，横町和志，木口雅夫. 逐次近似画像再構成法の臨床応用. 日本放射線技術学会雑誌. 2017; 73(12): 1261-1269.

20. 檜垣徹. デジタル画像処理の基礎. 医用画像情報学会雜誌. 2016; 33: 28-31. 

21. 粟井和夫，檜垣徹．CTにおける造影剤の至適投与法．CLINICIAN．2016; 63: 87-95.

22. 檜垣徹，粟井和夫．胸腹部における低線量CTの応用．日獨医報．2016; 61: 41-51.

23. 中村優子，檜垣徹，粟井和夫．肝のperfusion imaging．日独医報．2015; 60: 77-85.

24. 粟井和夫，檜垣徹．逐次近似画像再構成法によるCTのX線被ばくの低減．CLINICIAN．2015; 62: 15-22 (637-644).

25. Tatsugami F, Higaki T, Awai K, Utsunomiya D, Namimoto T, Harada K, Yamashita Y, Dual Energy Raw Data Based Decomposition Analysis on Aquilion ONE. VISIONS. 2014; 23: 32-37.

26. 立神史稔，伊達秀二，柿沢秀明，古本大典，本田有紀子，海地陽子，檜垣徹，藤岡知加子，木口雅夫，粟井和夫．X-rayイメージングのNext Innovation - 2.臨床編 2-1.心臓CTにおける被ばく低減技術の現状．日獨医報．2012; 57: 158-166.

国際会議

1. Katayama K, Higaki T, Kaneda K, Raytchev B, Fukumoto W. Real-Time Intuitive Interaction and Realistic Illumination for CT Volume Rendering. The 8th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2024). National Cheng Kung University, Tainan City, Taiwan. Mar.11-14, 2024. 

2. Fonseca D.L.D, Nakamura Y, Kondo S, Higaki T, Matsuura M, Narita K, Maeda S, Tatsugami F, Awai K. Improving the diagnostic image quality of abdominal CT with super-resolution deep-learning reconstruction: Initial clinical trial targeting hepatocellular carcinoma. ECR2024. Austria Center Vienna, Vienna, Austria.

3. Higaki T, Tatsugami F, Nakamura Y, Nishigaki M, Nakano S, Awai K. Utility of multi-energy mode of CZT-based Photon Counting Detector CT for coronary CT angiography: A structured phantom study. ECR2024. Austria Center Vienna, Vienna, Austria.

4. Nakamura Y, Higaki T, Nishigaki M, Nakano S, Kondo S, Tatsugami F, Maeda S, Fonseca D.L.D, Awai K. Accuracy of CT values on virtual monochromatic images of CZT-based Photon Counting Detector CT: comparison with dual-energy CT using energy integrating detector in a phantom model. ECR2024. Austria Center Vienna, Vienna, Austria.

5. Yoshiki Kaminaka, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda. Efficient and Accurate Physically Based Rendering of Periodic Multilayer Structures with Iridescence. Proc. SIGGRAPH Asia 2023 Posters, Dec. 12-15, 2023.

6. Maeda S, Nakamura Y, Kondo S, Higaki T, Fonseca D, Narita K, Yamaguchi T, Ishihara M, Karasudani A, Oka A, Hasome Y, Miyazaki N, Takebe H, Baba T, Awai K. Computer-aided diagnosis for hepatic MRI: What is needed and expected? RSNA2023. McCormick Place, Chicago, USA.

7. Kondo S, Nakamura Y, Higaki T, Nishihara T, Bito Y, Honda Y, Maeda S, Fonseca D, Narita K, Takizawa M, Shirai T, Fujimori M, Ohara Y, Yoshizawa N, Awai K. Utility of intracellular enhanced technique for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging.. RSNA2023. McCormick Place, Chicago, USA.

8. Kondo S, Nakamura Y, Higaki T, Akino N, Tsushima S, Tatsugami F, Taguchi H, Maeda S, Narita K, Fonseca D, Awai K. Visualization of simulated small vessels on photon counting detector CT: comparison with energy integrating CT in a phantom model. RSNA2023. McCormick Place, Chicago, USA.

9. Tatsugami F, Higaki T, Kawashita I, Akino N, Nakamura Y, Awai K. Coronary artery calcium volume measurement: A comparison between photon-counting CT and ultra-High-resolution CT using a cardiac CT calibration phantom. RSNA2023. McCormick Place, Chicago, USA.

10. Honda Y, Mitani H, Nakamura Y, Higaki T, Chosa K, Kawashita I, Awai K. Training of interventional radiology procedures using virtual reality: current status and potential metaverse. RSNA2023. McCormick Place, Chicago, USA.

11. Higaki T, akamura Y, Tatsugami F, Awai K. Contrast enhancement at CT: Principles and clinical applications. RSNA2023. McCormick Place, Chicago, USA.

12. Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K. Improving spatial resolution at coronary CT angiography on photon-counting detector CT: A structured phantom study. RSNA2023. McCormick Place, Chicago, USA.

13. Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Akino N, Nakano S, Awai K. Noise reduction at coronary CT angiography with photon-counting detector CT: A structured phantom study. RSNA2023. McCormick Place, Chicago, USA.

14. Nakaki Y, Fukumoto W, Mitani H, Chosa K, Nakamura Y, Awai K. The diagnostic ability of postmortem imaging for the cause of death. RSNA2023. McCormick Place, Chicago, USA.

15. Kawashita I, Ishibashi M, Higaki T, Tatsugami F, Takauchi K, Awai K. Evaluation of device less respiratory gating method for PET through characterization of motion blur spatial frequency. RSNA2023. McCormick Place, Chicago, USA.

16. Ishibashi M, Takauchi K, Kawashita I, Higaki T, Ono S, Yang L, Qi W, Awai K. Preliminary evaluation of the image quality of new data-driven respiration-gated image reconstruction for PET imaging. SNMMI2023. McCormick Place, Chicago, USA.

17. Tatsugami F, Higaki T, Kawashita I, Tsushima S, Fukumoto W, Nakamura Y, Mickael Ohana, Awai K. CT image reconstruction using super-resolution deep learning: Physical evaluation and clinical impact. ECR2023. Vienna, Austria.

18. Haruya Takahashi, Toru Higaki, Raytchev Bisser, Kazufumi Kaneda. Reproduction of Color Vision Deficiency Considering Spectrum. Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023). Jeju, Korea, Jan. 9-11, 2023 (hybrid).

19. Tomoya Wakasugi, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, Masashi Baba. Acquiring Spectral Scattering Properties of Seawater from an RGB Image. Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023). Jeju, Korea, Jan. 9-11, 2023 (hybrid). 

20. Kawashita I, Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K. Semiquantitative evaluation of image quality of clinical CT images by radiologists: From physical evaluation of phantom to semiquantitative evaluation of clinical images. RSNA2022. McCormick Place, Chicago, USA.

21. Kawashita I, Fukumoto W, Higaki T, Mitani H, Chosa K, Awai K. Age estimation of cadavers using deep learning and postmortem CT images of the vertebral. RSNA2022. McCormick Place, Chicago, USA.

22. Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Matsuura M, Awai K. Importance of larger reconstruction matrix sizes for super-resolution deep Learning reconstruction. RSNA2022. McCormick Place, Chicago, USA.

23. Higaki T, Nakamura Y, Tatsugami F, Raytchev B, Kaneda K, Awai K. Utility of variable-rate contrast medium injection at computed tomography: A simulation study. RSNA2022. McCormick Place, Chicago, USA.

24. Honda Y, Mitani H, Nakamura Y, Higaki T, Kawashita I, Kondo S, Narita K, Chosa K, Mihara N, Awai K. Training of interventional radiology procedures for medical students using virtual reality. RSNA2022. McCormick Place, Chicago, USA.

25. Kondo S, Nakamura Y, Maeda S, Narita K, Ishibashi M, Honda Y, Fukumoto W, Higaki T, Awai K. Utility and limitations of 18F-FDG PET/CT for the evaluation of hepatic lesions. RSNA2022. McCormick Place, Chicago, USA.

26. Karasudani A, Yamaguchi T, Ishihara M, Nakamura Y, Higaki T, Awai K. Multi-scale sampling method adapted for the detection of small hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase MR images. RSNA2022. McCormick Place, Chicago, USA.

27. Tatsugami F, Higaki T, Kawashita I, Fujioka C, Fukumoto W, Awai K. Deep-learning image reconstruction on low keV virtual monochromatic image of dual-energy CT improves image quality of Adamkiewicz artery. RSNA2022. McCormick Place, Chicago, USA. 

28. Kota Hashimoto, Toru Higaki, Raytchev Bisser Roumenov, Kazufumi Kaneda. Real-time volume rendering running on an AR device in medical applications. Proc. International Workshop on Advanced Image Technology 2022 (IWAIT 2022), pp. 1-6, Hong Kong, Jan. 4-6, 2022 (hybrid).

29. Yuki Mikamoto, Masahiro Sakamoto, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda. Multiple-Branch Deep Neural Network for Spectral Super-Resolution. Proc. the 28th International Workshop on Frontiers of Computer Vision (IW-FCV 2022), pp. 123-130, Hiroshima Feb. 21-22, 2022 (online).

30. Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fukumoto W, Awai K. Accuracy of CT number on virtual non-contrast enhanced images generated from stochastic material decomposition. RSNA2021, Scientific Paper. McCormick Place, Chicago, USA.

31. Higaki T, Kondo S, Teramoto F, Tsuchida R, Takahashi I, Yoshida R, Goto T, Nakamura Y, Awai K. Physical characteristics of a new photon-counting detector CT: comparison of the spatial resolution with that on conventional energy-integrated detector CT scans. RSNA2021, Scientific Paper. McCormick Place, Chicago, USA.

32. Higaki T, Yokomachi K, Fujioka C, Nishimaru E, Nakamura Y, Awai K. Measurement of directional task-based modulation transfer function at abdominal CT: a phantom study. RSNA2021, Scientific Poster. McCormick Place, Chicago, USA.

33. Higaki T, Kondo S, Yokoi K, Kojima S, Takahashi I, Aoki Y, Watanabe F, Nakamura Y, Awai K. Physical characteristics of a new photon-counting detector CT scanner: comparison of the contrast-to-noise ratio and the noise power spectrum with those on conventional energy-integrated detector CT. RSNA2021, Scientific Poster. McCormick Place, Chicago, USA.

34. Higaki T, Tatsugami F, Matsuura M, Taguchi H, Tsushima S, Nakamura Y, Awai K. Super-resolution deep learning reconstruction at CT: a phantom study for coronary CT angiography. RSNA2021, Scientific Poster. McCormick Place, Chicago, USA.

35. Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Tsushima S, Taguchi H, Matsuura M, Awai K. Various applications of deep learning-based reconstruction at CT: denoise, dual-energy CT, and super-resolution. RSNA2021, Educational Exhibit. McCormick Place, Chicago, USA.

36. Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Awai K. Deep learning based spectral CT imaging for quantifying contrast medium enhancement and washout in hepatocellular carcinomas: comparison of iodine maps and virtual monochromatic images. RSNA2021. McCormick Place, Chicago, USA.

37. Kondo S, Higaki T, Nakamura Y, Takahashi I, Goto T, Awai K. Easy introduction of the photon counting detector CT (PCD-CT) for radiologists. RSNA2021, Educational Exhibit. McCormick Place, Chicago, USA.

38. Sueoka T, Kawashita I, Higaki T, Honda Y, Nishihara T, Tatsugami F, Nakamura Y, Awai K. A new MRI technique for the detailed inspection of compact bone: phantom and preliminary clinical study. RSNA2021. McCormick Place, Chicago, USA.

39. Tatsugami F, Higaki T, Matsuura M, Taguchi H, Tsushima S, Awai K. Improvement of spatial resolution by using super-resolution deep learning reconstruction at coronary CT angiography. RSNA2021. McCormick Place, Chicago, USA.

40. Narita K, Nakamura Y, Higaki T, Akagi M, Honda Y, Awai K, et al. Radiation dose reduction at abdominal ultra-high-resolution CT with deep learning reconstruction. RSNA2020, Featured Papers (online).

41. Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al. Utility of deep learning reconstruction of equilibrium phase images in obese patients. RSNA2020, On Demand Papers (online).

42. Narita K, Nakamura Y, Higaki T, Nishihara T, Bito Y, Awai K, et al. Utility of iterative noise reduction for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging. RSNA2020, On Demand Papers (online).

43. Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fujioka C, Awai K, et al. Image characteristics of deep-learning-based rapid kV switching dual energy CT scans: A phantom study. RSNA2020, Scientific Posters (online).

44. Higaki T, Nakamura Y, Akagi M, Fukumot W, Tatsugami F, Awai K. Maximization of the diagnostic ability of ultra-high-resolution CT: optimal scan parameters and image reconstruction techniques. RSNA2020 Educational Exhibits (online).

45. Higaki T, Matsumot Y, Tatsugami F, Nakamura Y, Fukumoto W, Awai K. Contrast enhancement protocol at CT: basics and advanced optimization using computer simulation. RSNA2020 Educational Exhibits (online).

46. Tatsugami F, Higaki T, Mitani H, Sueoka T, Fujioka C, Awai K, et al. The usefulness of low dose- and 4-dimensional CT imaging using a deep learning reconstruction. RSNA2020 Educational Exhibits (online).

47. Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Honda Y, Awai K, et al. Basic physical information for radiologists wishing to fully utilize the capability of dual-energy CT. RSNA2020 Educational Exhibits (online).

48. Honda Y, Nakamura Y, Akagi M, Narita K, Higaki T, Awai K, et al. The clinical evaluation of the upper urinary tract cancer: what radiologists should know. RSNA2020 Educational Exhibits (online).

49. Nakamura Y, Higaki T, Akagi M, Narita K, Honda Y, Taguchi H, Tsushima S, Awai K. Abdominal deep leaning spectral imaging: image quality of virtual monochromatic images in the equilibrium phase. ECR2020. Vienna, 2020.3.11-3.15.

50. Nakamura Y, Higaki T, Narita K, Akagi M, Matsubara Y, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Iida M, Awai K. Utility of radial scan for identification of arterial hypervascularity of hepatocellular carcinoma on gadoxetic acid-enhanced MR images. ECR2020. Vienna, 2020.3.11-3.15.

51. Tatsugami F, Higaki T, Fukumoto W, Nakamura Y, Fujioka C, Iida M, Awai K. Improvement of image quality by using deep learning image reconstruction at coronary CT angiography performed with high-definition scan mode. ECR2020. Vienna, 2020.3.11-3.15.

52. Higaki T, Nakamura Y, Tatsugami F, Honda Y, Fujioka C, Awai K. Radiation dose optimization using automatic exposure control at rapid kV-switching dual-energy CT with deep learning technology: Feasibility study using a phantom. ECR2020. Vienna, 2020.3.11-3.15.

53. Higaki T, Tatsugami F, Nakamura Y, Kaichi Y, Itada Y, Awai K. Utility of framework software to support medical image processing. ECR2020. Vienna, 2020.3.11-3.15.

54. Higaki T, Tatsugami F, Nakamura Y, Fukumoto W, Fujioka C, Awai K. Radiation dose reduction for coronary CT angiography using deep learning reconstruction: A phantom study. ECR2020. Vienna, 2020.3.11-3.15.

55. Mori T, Honda Y, Higaki T, Fujioka C, Nakamura Y, Terada H, Akagi M, Awai K. Dual-energy CT of the renal lesions. RSNA2019. Chicago, USA. 2019.12.1-6.

56. Fukumoto W, Schreuder A, Lafebre S J, Higaki T, Prokop M, Nakamura Y, Awai K. Comparison of emphysema scores on low and ultra-low radiation dose CT images using different reconstruction methods. RSNA2019. Chicago, USA. 2019.12.1-6.

57. Terada H, Higaki T, Takebe H, Moriwaki Y, Baba T, Awai K. CT image retrieval based on morphological similarities in diffuse lung diseases using a deep convolutional neural network. RSNA2019. Chicago, USA. 2019.12.1-6.

58. Mitani H, Tatsugami F, Higaki T, Prokop M, Ono C, Ono K, Fukumoto W, Nakamura Y, Awai K. Capability of a new model-based Iterative reconstruction for brain CT to diagnose acute ischemic stroke: multicenter study. RSNA2019. Chicago, USA. 2019.12.1-6.

59. Narita K, Nakamura Y, Akagi M, Higaki T, Iida M, Awai K. Estimation of minimal liver fibrosis using gadoxetic acid-enhanced liver MRI and machine learning. RSNA2019. Chicago, USA. 2019.12.1-6.

60. Zhao Y, Zarshenas A, Higaki T, Suzuki K, Awai K. Radiation dose reduction in chest CT at a Micro-Dose (mD) level by noise simulation and noise-specific anatomic Neural Network Convolution (NNC) Deep-Learning (DL) with k-means clustering. RSNA2019. Chicago, USA. 2019.12.1-6.

61. Matsubara Y, Tani C, Higaki T, Nakamura Y, Honda Y, Fukumoto W, Sakane H, Awai K. CT imaging of fetal skeletal anomalies at minimized radiation exposure: clinical significance, indications, and scan protocol. RSNA2019. Chicago, USA. 2019.12.1-6.

62. Fukuhara R, Kaneda K, Tamaki T, Raytchev B, Higaki T, Nishimoto S, Sotsuka Y.  A Projection Mapping System onto a Human Body for Medical Applications.  Eurographics 2019, 2019.5.6-10, Genova.

63. Yasutaka Moriwaki, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Hiroaki Terada, Toru Higaki, Kazuo Awai, Machiko Nakagawa, Akio Ozawa, Kennji Kitayama, Yasuharu Ogino. Similar CT image retrieval method based on lesion nature and their three-dimensional distribution.  SPIE Medical Imaging 2019, 2019.2.16-21, San Diego.

64. Higaki T, Nakamura Y, Tatsugami F, Akino N, Awai K.  Image Noise Reduction with Deep Learning-Based CT Image Reconstruction.  ECR2019. Vienna. 2019.2.27-3.3.

65. Tatsugami F, Higaki T, Yuko Nakamura, Fukumoto W, Yuya Ito, So Tsushima, Awai K.  Feasibility of radiation dose reduction using a deep learning based reconstruction at coronary CT angiography.  ECR2019. Vienna. 2019.2.27-3.3.

66. Tatsugami F, Higaki T, Nakamura Y, Iida M, Fujioka C, Awai K.  Radiation dose reduction in calcium volume measurement at cardiac CT using model-based iterative reconstruction: A phantom study.  ECR2019. Vienna. 2019.2.27-3.3.

67. Utsunomiya K, Nakamura Y, Higaki T, Akagi M, Narita K, Zhou J, Yu Z, Akino N, Awai K.   Deep learning based reconstruction improves the image quality of abdominal ultra-high-resolution computed tomography scans.  ECR2019. Vienna. 2019.2.27-3.3.

68. Fukumoto W, Higaki T, Tatsugami F, Klein MM, Prokop MM, Awai K.  Measurement of coronary artery calcium score using ultra-high resolution CT: Cadaver study.  ECR2019. Vienna. 2019.2.27-3.3.

69. Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K.  3 Tesla magnetic resonance imaging: Clinical capability of new applications for abdominal imaging.  ECR2019. Vienna. 2019.2.27-3.3.

70. Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K.  Pseudo-random trajectory scan technique to suppress motion artifacts on gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance images.  ECR2019. Vienna. 2019.2.27-3.3.

71. Honda Y, Terada H, Higaki T, Fujioka C, Nakamura Y, Awai K.  Dual-Energy Computed Tomography of Renal Lesions.  ECR2019. Vienna. 2019.2.27-3.3.

72. Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Awai K, et al. Improvement of diagnostic image quality of abdominal CT by using a deep-learning based reconstruction: Initial clinical trial targeting hypervascular hepatocellular carcinoma. RSNA2018. Chicago. 2018.11.25-30.

73. Matsubara Y, Tani C, Higaki T, Kamioka S, Nakamura Y, Awai K. Demonstration of the fetal bone cortex on MRI Scans: Preliminary clinical study on normal fetal specimens. RSNA2018. Chicago. 2018.11.25-30.

74. Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al. CT findings on hepatocellular carcinoma in patients with hepatitis C showing a sustained virologic response after interferon-free therapy: Comparison with that in patients with interferon-based therapy. RSNA2018. Chicago. 2018.11.25-30.

75. Zhao Y, Zarshenas A, Higaki T, Awai K, Suzuki K. Effect of simulated micro-dose (mD) CT on the performance of neural network convolution (NNC) deep-learning (DL) in radiation dose reduction in chest CT. RSNA2018. Chicago. 2018.11.25-30.

76. Higaki T, Matsumoto Y , Masuda T, Nakamura Y, Tatsugami F, Awai K. Development a software which assists radiologists to determine optimal contrast material administration protocol at CT: Validation study using a computer simulation. RSNA2018. Chicago. 2018.11.25-30.

77. Higaki T, Tatsugami T, Fujioka C, Yokomachi K, Nakamura Y, Awai K. Accuracy of volume measurements of coronary calcification at CT using model-based iterative reconstruction: a phantom study. RSNA2018. Chicago. 2018.11.25-30.

78. Higaki T, Nakamura Y, Tatsugami F, Honda Y, Iida M, Awai K. Imaging Physiology of Contrast Agent: Difference in Pharmacokinetic and Signal Characteristics Between Gadolinium and Iodine Contrast Agent. RSNA2018. Chicago. 2018.11.25-30.

79. Higaki T, F Tatsugami, Nakamura Y, Fujioka C, Tsushima S, Awai K. Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work? RSNA2018. Chicago. 2018.11.25-30.

80. Zarshenas A, Zhao Y, Liu J, Higaki T, Awai K, Suzuki K. “Virtual” High-Dose Technology: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC). RSNA2018. Chicago. 2018.11.25-30.

81. Nakamura Yuko, Higaki T, Yu Z, Zhou J, Akino N; Awai K. Possibility of Deep Learning Technique in Medical Imaging: Can Deep Learning Improve Image Quality? RSNA2018. Chicago. 2018.11.25-30.

82. Narita K, Nakamura Y, Higaki T, Akagi M, Iida M, Awai K. Non-Invasive Evaluation of Liver Fibrosis Using Imaging Technique: Current Problems and Future Perspective. RSNA2018. Chicago. 2018.11.25-30.

83. Honda Y, Nakamura Y, Terada H, Higaki T, Fujioka C, Awai K. Update of CT Urography: Current Techniques, Clinical Utility, and New Applications. RSNA2018. Chicago. 2018.11.25-30.

84. Amin Zarshenas, Yuji Zhao, Junchi Liu, Toru Higaki, Wataru Fukumoto, Kazuo Awai, Kenji Suzuki. Deep 3D Anatomy-Specific Neural Network Convolution for Radiation Dose Reduction in Chest CT at a Micro-Dose Level. EMBC2018: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Honolulu, 2018.7.17-21.

85. Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Ito Y, Iida M, Awai K. Improvement of diagnostic image quality of abdominal CT by using a deep learning based reconstruction: Initial clinical trial targeting hepatic metastases. ECR2018. Vienna. 2018.2.28-3.4.

86. Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Nemoto T, Iida M, Awai K. Improving image quality of low-dose abdominal CT by a deep learning reconstruction: Feasibility study using a liver phantom including simulated tumors. ECR2018. Vienna. 2018.2.28-3.4.

87. Higaki T, Nakamura Y, Tatsugami F, Iida M, Yu Z, Zhou J, Akino N, Tsushima S, Awai K. Possibility of deep learning technique in CT image reconstruction. ECR2018. Vienna. 2018.2.28-3.4.

88. Higaki T, Nishimaru E, Nakamura Y, Tatsugami F, Yu Z, Zhou J, Verleker AP, Akino N, Awai K. Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study. ECR2018. Vienna. 2018.2.28-3.4.

89. Higaki T, Kaichi Y, Tatsugami F, Taguchi H, Iida M, Awai K. The Detectability of Forward Projected Model-Based Iterative Reconstruction for Low Contrast Lesions: Acute Cerebral Infarction-Phantom Study. RSNA2017. Chicago. 2017.11.26-12.1.

90. Higaki T, Tatsugami F, Kaichi Y, Akiyama Y, Umeda M, Awai K. Novel Technique to Generate Computed Diffusion Weighted Brain MRI with Ultra-High B-Values. RSNA2017. Chicago. 2017.11.26-12.1.

91. Higaki T, Tatsugami F, Nakamura Y, Yokomachi K, Tsushima S, Awai K, et al. Improvement of Spatial Resolution of CT Using Model-Based Iterative Reconstruction on CT: A Phantom Study. RSNA2017. Chicago. 2017.11.26-12.1.

92. Higaki T, Tstsugami F, Nakamura Y, Fujioka C, Tsushima S, Awai K, et al. A new quantitative index for the noise power spectrum at CT: Correlation with subjective nodule detectability on CT images. RSNA2017. Chicago. 2017.11.26-12.1.

93. Higaki T, Nakamura Y, Tatsugami F, Honda Y, Akiyama Y, Awai K. Essential Knowledge About Gadolinium Contrast Agents on Magnetic Resonance Imaging to Plan Optimal Contrast Enhancement Protocols: Graphic Demonstration Using a Computer Simulation. RSNA2017. Chicago. 2017.11.26-12.1.

94. Zarshenas A, Zhao Y, Liu J, Higaki T, Awai K, Suzuki K. Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC). RSNA2017. Chicago. 2017.11.26-12.1.

95. Akagi M, Nakamura Y, Higaki T, Iida M, Umeda M, Awai K. High-precision computed diffusion weighted images for the diagnosis of hepatocellular carcinoma. RSNA2017. Chicago. 2017.11.26-12.1.

96. Fukumoto W, Suzuki K, Higaki T, Zhao Y, Zarshenas A, Awai K. Detection of solid pulmonary nodules in micro-dose CT (mDCT) with “virtual” higher-dose (vHD) CT technology: An observer performance study. RSNA2017. Chicago. 2017.11.26-12.1.

97. Terada H, Higaki T, Takebe H, Moriwaki Y, Baba T, Awai K. CT image retrieval based on morphological similarity: initial clinical trial for diffuse lung diseases. RSNA2017. Chicago. 2017.11.26-12.1.

98. Yokomachi K, Tatsugami F, Funama Y, Fujioka C, Higaki T, Awai K, et al. Effect of luminal CT number on detection of neointimal formation after carotid artery stenting at 320-detector CT angiography: Comparison among filtered back projection, hybrid iterative reconstruction and full iterative reconstruction. RSNA2017. Chicago. 2017.11.26-12.1.

99. Masuda T, Nakaura T, Funama Y, Imada N, Higaki T, Awai K. Effect of Patient Characteristics on Vessel Enhancement at cardiac CT Angiography in pediatric patient. RSNA2017. Chicago. 2017.11.26-12.1.

100. Funama Y, Higaki T, Utsunomiya D, Nakaura T, Awai K. Can iterative reconstruction methods improve low-contrast detectability? RSNA2017. Chicago. 2017.11.26-12.1.

101. Tatsugami F, Higaki T, Sakane H, Narita K, Fujioka C, Awai K, et al. Recent Technical Development at Coronary CT Angiography: Impact on the Image Quality. RSNA2017. Chicago. 2017.11.26-12.1.

102. Honda Y, Nakamura Y, Higaki T, Fuji T, Tanitame K, Awai K, et al. Progress in the Diagnosis of Upper Tract Urothelial Carcinoma: Advances and Remaining Hurdles. RSNA2017. Chicago. 2017.11.26-12.1.

103. Tatsugami F, Higaki T, Sakane H, Iida M, Baba Y, Awai K. Diagnostic accuracy of in-stent restenosis with model-based iterative reconstruction at coronary CT angiography. ESCR2017. Milan. 2017.10.12-10.14.

104. Suzuki K, Liu J, Zarshenas A, Higaki T, Fukumoto W, Awai K. Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to “Virtual” High-Dose CT Images. MICCAI2017. Quebec, 2017.9.10-14. 

105. Higaki T, Nakamura Y, Sakane H, Fukumoto W, Kassai Y, Awai K. Easy understanding of the technical aspects of computed diffusion-weighted Image (cDWI) for radiologis. RSNA2016. Chicago. 2016.11.27-12.2.

106. Higaki T, Nakaura T, Kidoh M, Yuki H, Yamashita Y, Awai K, et al. Contrast material injection protocols at coronary CT angiorapraphy with short injection duration can yield sufficient arterial enhancement in wide range of cardiac output value: computer simulation study. RSNA2016. Chicago. 2016.11.27-12.2.

107. Tajbakhsh N, Liu J, Higaki T, Fukumoto W, Awai K, Suzuki K. Conversion of ultra-low-dose (ULD) to “virtual” high-dose (VHD) thin-slice chest CT by means of 3D supervised volume-based artificial neural network (ANN). RSNA2016. Chicago. 2016.11.27-12.2.

108. Tatsugami F, Higaki T, Fujioka C, Fukumoto W, Kaichi Y, Awai K, et al. The effect of full iterative reconstruction on the image quality of coronary artery stent at 320 detector-row CT scanner. RSNA2016. Chicago. 2016.11.27-12.2.

109. Nakamura Y, Higaki T, Fukumoto W, Fujioka C, Kiguchi M, Awai K, et al. Hepatic perfusion CT yields early imaging biomarkers for treatment response of sorafenib on hepatocellular carcinoma. RSNA2016. Chicago. 2016.11.27-12.2.

110. Yokomachi K, Tatsugami F, Higaki T, Fujioka C, Kiguchi M, Awai K, et al. Detectability of restenosis after carotid artery stenting using full iterative reconstruction at 320-detector CT angiography. RSNA2016. Chicago. 2016.11.27-12.2.

111. Yokomachi K, Tatsugami F, Funama Y, Fujioka C, Nishimaru E, Kiguchi M, Higaki T, Kitera N, Awai K: Radiation dose reduction for coronary artery calcium scoring at 320-detector CT with full Iterative reconstruction: study using a cardiac CT calibration phantom. RSNA 2016. Chicago, USA. 2016.

112. Sakane H, Kaichi Y, Higaki T, Tatsugami F, Taguchi H, Awai K, et al. Impact of a newly developed full iterative reconstruction (FIRST) algorithm on head CT diagnoses. RSNA2016. Chicago. 2016.11.27-12.2.

113. Tatsugami F, Higaki T, Iida M, Fujioka C, Kiguchi M, Awai K. First experience of forward projected model-based iterative reconstruction solution (FIRST) on image quality at 320-detector row CT coronary angiography. ECR2016. Vienna. 2016.3.2-6.

114. Tatsugami F, Higaki T, Iida M, Fujioka C, Kiguchi M, Awai K. Effect of the motion correction technique on image quality at 320-detector CT coronary angiography in patients with atrial fibrillation. ECR2016. Vienna. 2016.3.2-6.

115. Higaki T, Nakamura Y, Akiyama Y, Ohkubo T, Kassai Y, Awai K. Techniques to generate high-accuraey computed diffusion- weighted images(cDWI)of the liver. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

116. Akagi M, Nishiki M, Higaki T, Fukumoto W, Kiguchi M, Taniguchi A, Awai K, Tushima S, Fujioka T. Full iterative reconstruction optimized for specific organs: Principle and capabilities. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

117. Nishiki M, Higaki T, Awaya Y, Nakamura Y, Tsushima S, Awai K, Iida M. Ultra-low-dose chest CT for lung cancer screening using full iterative reconstruction: Feasibility study. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

118. Fukumoto W, Suzuki K, Higaki T, Awaya Y, Nishiki M, Awai K. Lung cancer screening (LCS) in ultra-low-dose CT (U-LDCT) by means of massive-training artificial neural network (MTANN) image-quality improvement: an initial clinical trial. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

119. Kiguchi M, Fujioka C, Nishimaru E, Yokomachi K, Higaki T, Awai K, Taniguchi A, Tsushima S. Quantitative assessment of coronary artery CT images with full iterative reconstruction performed on a 320 detector-row scanner. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

120. Higaki T, Kaichi Y, Fukumoto W, H onda Y, Iida M, Awai K. Technique for the composition of virtual monochromatic images in the fourier domain: high contrast-to-noise on CT images of brain tumors. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

121. Higaki T, Nakamura Y, Tatsugami F, Kiguchi M, Iida M, Awai K. Computer simulation of contrast enhancement in the whole body: a highly accurate simulation of the bolus transmission of contrast material in individual organs. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

122. Higaki T, Kaichi Y, Kiguchi M, Tatsugami F, Tsushima S, Awai K, Iida M, Honda Y. Improved accuracy of the CT number of iodine-enhanced structures on virtual monochromatic dual-energy CT images. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

123. Kaichi Y, Tatsugami F, Higaki T, Kajiwara K, Tsushima S, Awai K. Clinical utility of dual-energy CT in the diagnosis of brain tumors. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

124. Higaki T, Nakamura Y, Fukumoto W, Kiguchi M, Iida M, Awai K, Honda Y. Easy understanding of the technical aspects of abdominal perfusion CT for radiologists. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

125. Tatsugami F, Higaki T, Kitera N, Kiguchi M, Fukumoto W, Awai K, Kaichi Y. Clinical approach and recent topics at coronary artery calcium scoring. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

126. Nishiki M, Higaki T, Nakamura Y, Awaya Y, Nomura Y, Awai K. Integration of computer-assisted detection into lung cancer screening with low-dose CT: Utility and pitfalls. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

127. Honda Y, Higaki T, Kaichi Y, Tani C, Iida M, Awai K. Multi-detector CT urography of 2015: did the current state of CTU change? — current techniques, clinical utility and new applications. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2015.11.29-12.4.

128. Tsegmed U, Kimura T, Nakashima T, Nakamura Y, Higaki T, Imano N, Doi Y, Kenjo M, Ozawa S, Murakami Y, Awai K, Nagata Y. Gd-EOB-DTPA Enhanced MRI-Guided Stereotactic Body Radiation Therapy Planning for Patients with Hepatocellular Carcinoma. International journal of radiation oncology, biology, physics, 93(3): E147-E148, 2015.

129. Nakamura Y, Higaki T, Awai K. Hepatic Perfusion CT: Current Status and Future Perspectives. 15th International Congress of Radiation Research (ICRR2015). Kyouto International Conference Center, Kyoto. 2015.5.25-5.29.

130. Tanitame K, Takahashi Y, Kaichi Y, Takasu M, Higaki T, Awai K. Precise Volumetry of Orbital Fat: Comparison of IDEAL-FSE and T1-Weighted Magnetic Resonance Imaging. ECR2015. Vienna Austria. 2015.3.4-3.8.

131. Fukumoto W, Higaki T, Nakamura Y, Iwakado Y, Okubo T, Awai K, Kaichi Y, Kajiwara K. Demonstration of salivary flow from the parotid gland by MR imaging using time-spatial labeling inversion pulse (Time-SLIP) technique: feasibility study using normal volunteers. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

132. Higaki T, Kaichi Y, Fujioka C, Kiguchi M, Tsushima S, Awai K, Yamagami T, Tatsugami F. Measurement of Electron Density Using Raw data-based Dual-energy Computed Tomography: Phantom Study. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

133. Higaki T, Nakamura Y, Tatsugami F, Kimura T, Nagata Y, Awai K. Registration Method for Gadoxetate Disodium-enhanced MR and Radiation Dose Distribution Maps using an Extracted Liver-region Mask. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

134. Higaki T, Komoto D, Kaichi Y, Iida K, Hirokawa Y, Awai K. Computer-aided Detection of Epileptic Foci on 18F-FDG-PET Images. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

135. Tatsugami F, Higaki T, Kiguchi M, Tsushima S, Taniguchi A, Awai K, Kaichi Y. Understanding general principles and new technologies at dual energy CT. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

136. Kaichi Y, Higaki T, Tani C, Nakamura Y, Tatsugami F, Awai K. Clinical Utility and Pitfalls of Arterial Spin Labeling (ASL) in Depressed Patients. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

137. Honda Y, Higaki T, Kaichi Y, Tani C, Taniguchi A, Awai K. CT Urography (CTU) Using New CT Technologies: Clinical Advantages of a Proposed Scan and Contrast Injection Protocol. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2014.11.30-12.5.

138. Matsubara Y, Kaichi Y, Higaki T, Nakamura Y, Date S, Akiyama Y, Yamagami T, Awai K, Okamoto Y, Yamawaki S. Regional cerebral blood flow in depression: Arterial spin labeling magnetic resonance study. ASNR 52nd Annual Meeting & The Foundation of the ASNR Symposium 2014. Montreal, Canada. 2014.5.17-5.22.

139. Tatsugami F, Higaki T, Tsushima S, Taniguchi A, Date S, Awai K.Electron density and effective atomic number images generated by dual energy imaging with a 320-detector CT system: A feasibility study. ECR2014. Vienna Austria. 2014. 3.6-3.10.

140. Komoto D, Aoyama M, Takaki Y, Higaki T, Fukumoto W, Awai K. Estimation of Pulmonary Nodule Malignancy: Effect of a Computer-aided Diagnosis System Integrating PET and HRCT Findings on the Performance of Radiologists. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

141. Tatsugami F, Higaki T, Kigushi M, Fukumoto W, Date S, Awai K. A New Method for Noise Reduction at Coronary CT Angiography with Multi-phase Data-averaging and Non-rigid Image Registration. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

142. Nakamura Y, Kimura T, Higaki T, Tatsugami F, Nagata Y, Awai K. Clinical Utility of Weighted Liver Spleen Contrast Using Gadoxetate Disodium-enhanced Hepatic MRI: Pre-evaluation of Stereotactic Body Radiotherapy for Hepatocellular Carcinoma. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

143. Honda Y, Goto K, Ikeda K, Higaki T, Date S, Awai K. Differentiation between T2- and T3 Urothelial Cancer by Using MDCT: Proposal of New Diagnostic Criteria. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

144. Tatsugami F, Higaki T, Kigushi M, Date S, Taniguchi A, Awai K. Radiation Dose Reduction for Coronary Artery Calcium Scoring at 320-detector CT with Iterative Reconstruction: Preliminary Clinical Study. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

145. Suzaki K, Higaki T, Funama Y, Awai K. Supervised Conversion of Ultra-low-Dose to Higher-dose CT Images by Using Pixel-based Machine Learning: Phantom and Initial Patient Studies. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

146. Yasuda H, Tasugami F, Misezaki Y, Higaki T, Honda Y, Awai K. Understanding Dose Reduction Techniques at Cardiac CT for Daily Clinical Practice. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

147. Nakamura Y, Higaki T, Tasugami F, Date S, Taniguchi A, Awai K. The Treatment Response of Hepatocellular Carcinoma: Evaluation with Imaging Biomarkers. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

148. Higaki T, Nakamura Y, Akiyama Y, Fukumoto W, Kamata M, Awai K. A New Distortion Correction Technique for Computed Diffusion Weighted Imaging (cDWI). The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

149. Fukumoto W, Higaki T, Tatsugami F, Nakamura Y, Taniguchi A, Awai K. Understanding the Principle, Image Characteristics, and Radiation Dose of Full- and Hybrid Iterative Reconstruction (IR) at CT. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2013.12.1-6.

150. Kaichi Y, Higaki T, Nakamura Y, Honda Y, Komoto D, Date S, Awai K, Akiyama Y, Okamoto Y, Yamawaki S. Regional cerebral blood flow in depression:Arterial spin labeling magnetic resonance study. ASNR 51st annual meeting and foundation of the ASNR symposium 2013. San Diego Convention Center. 2013.5.18-23.

151. Tatsugami F, Higaki T, Kiguchi M, Date S, Awai K. A new method for radiation dose reduction at cardiac CT with multi-phase data-averaging and non-rigid image registration: Preliminary clinical trial. ECR2013. Vienna Austria. 2013.3.7-3.11.

152. Yokomachi K, Tatsugami F, Higaki T, Fujioka C, Kiguchi M, Awai K. Radiation Dose Reduction for Coronary Artery Calcium Scoring at 320-Detector CT with Iterative Reconstruction: Study Using a Cardiac CT Calibration Phantom. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

153. Higaki T, Komoto D, Iida K, Kaichi Y Hirokawa Y, Awai K. Automatic Laterality Detection Using Anatomic Regions of Interest (ROI) on Brain PET Images. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

154. Komoto D, Iida K, Higaki T, Hirokawa Y, Kakita A, Awai K. Diagnostic Performance of 11C-Flumazenil PET and 11C-Flumazenil Binding Potential Imaging for Presurgical Evaluation of Epilepsy Patients with Normal MRI Findings: Comparison with 18F-FDG PET. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

155. Takasu M, Higaki T, Tani C, Kiguchi M, Tatsugami F, Awai K. Patients with Multiple Myeloma: Finite Element Analysis Using Multidetector CT to Predict Pathological Fracture. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

156. Nakamura Y, Higaki T, Tatsugami F, Sato Y, Date S, Awai K. Volume Body Perfusion CT Using a 320-detector CT Scanner and Non-rigid Registration Technique. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

157. Komoto D, Iida K, Higaki T, Hirokawa Y, Kakita A, Awai K. Presurgical Imaging Evaluation of Patients with Intractable Mesial Temporal Lobe Epilepsy: Value of 18F-FDG PET with Statistical Analysis. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2012.11.25-30.

158. Higaki T, Azemoto A, Kaneda K. A Registration Method for Cardiac CT/SPECT with Atlas Data. The RSNA Scientific Assembly and Annual Meeting, Chicago, 2010.11.28-12.3.

159. Higashino H, Kido T, Watanabe K, Mochizuki T, Higaki T, Goko Y, Nagao M, Kurata A, Hosokawa K, Kido T. 3D Image fusion of cardiac computed tomographic angiography (CCTA) and single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). The 2010 Society of Nuclear Medicine(SNM) Annual Meeting, Salt Lake City, Utah, 2010.6.5-9.

160. Higashino H, Kido T, Watanabe K, Mochizuki T, Higaki T, Goko Y, Nagao M, Kurata A, Hosokawa K, Kido T. 3D Image fusion of cardiac computed tomographic angiography (CCTA) and single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). The 4th Congress of Asian Society of Cardiovascular Imaging, Taipei, Taiwan, 2010.3.19-20.

161. Nishihashi K, Higaki T, Okabe K, Raytchev B, Tamaki T, Kaneda K. Volume Rendering using Grid Computing for Large-Scale Volume Data. Proc. of 11th IEEE International Conference on Computer-Aided Design and Computer Graphics. 2009; 470-477. Yellow Mountain City, China, 2009.8.19-21.

162. Higaki T, Tamaki T, Kaneda K, Date N, Azemoto S. Non-rigid Image Registration for Medical Imaging using a Free-form Deformation. IIEEJ Image Electronics and Visual Computing Workshop, Cairns, Australia, 2007.11.25-27.

国内学会・シンポジウム

1. Toru Higaki. Medical imaging and AI applications
in Radiology field. SUMMER PROGRAM 2024, The Role of Artificial Intelligence (AI) in the Future of Work and Society. 2024.8.2-11, Hiroshima, Japan.

2. 田村広登，井上浩孝，檜垣徹．機械学習を用いた非接触心電図波形推定システムの開発．医用画像研究会，2024.9.6，広島．

3. 兒島悠飛，井上浩孝，檜垣徹．非接触デバイスを用いた呼吸波計測システムの開発．医用画像研究会，2024.9.6，広島．

4. Toru Higaki. Deep Learning in Radiology: State-of-the-Art Applications. Medical and Informatics Workshop and School of Informatics and Data Science Seminar. 2024.6.20. Hiroshima. 

5. 檜垣徹，福本航，三谷英範，東堀遥，金田和史，粟井和夫．空間再現ディスプレイを用いたフォトリアリスティックボリュームレンダリング手法．日本CT技術学会 第12回学術大会，2024.6.22，広島． 

6. 上中喜生，三家本雄貴，檜垣徹，Bisser Raytchev，金田和文．スペクトラルイメージベーストライティングによる表面粗さを考慮した薄膜干渉の表示． Proc. VC+VCC 2022 (口頭発表[16], long). 国立京都国際会館, Oct. 6-8, 2022.

7. 圓山有利子，檜垣徹，金田和文，Bisser Raytchev，西本聡，曽束洋平．乳房再建手術に向けたプロジェクションマッピングシステム．第32回日本シミュレーション外科学会 抄録集 O-03.兵庫医科大学, Dec. 10, 2022.

8. 片山航輔，檜垣徹，金田和文，ビセルライチェフ，福本航．散乱と有色な影を考慮したリアリスティックボリュームレンダリング．情報処理学会 185回 コンピュータグラフィックスとビジュアル情報学研究会，2022.03.11-12，online.

9. 檜垣徹，中村優子，立神史稔，粟井和夫．統計情報を用いたdual-energy CTにおける仮想非造影画像の高精度化．最先端CT研究会2021，2021.7.30，山形．

10. 木寺信夫，西丸英治，藤岡知加子，横町和志，木口雅夫，檜垣徹，粟井 和夫．Deep Learningを用いた画像再構成法における低コントラスト分解能の評価．日本放射線技術学会総会学術大会予稿集（77回），pp.147-148，2021.03．

11. 木寺信夫，藤岡知加子，檜垣徹，西丸英治，横町和志，木口雅夫，粟井 和夫．高分解能撮影モードとDeep Learningを用いた画像再構成法を用いた冠動脈CTAにおける最適な撮影条件に関する検討．日本放射線技術学会総会学術大会予稿集（77回），p.145，2021.03．

12. 立神史稔，檜垣徹，甲斐裕子，中村優子，本田有紀子，粟井和夫．Dual-energy CTと機械学習法による尿路結石の成分弁別．SAMI 2020 Advanced Medical Imaging研究会，2020.11.21，Online．

13. 檜垣徹，立神史稔，福本航，本田有紀子，中村優子，粟井和夫．3Dプリンタを用いた生体を模したCT画質評価ファントムの作成．第 33 回電子情報研究会・第 3 回日本医用画像人工知能研究会合同学術集会，2020.11.8，Online．

14. 三谷英範，檜垣徹，馬場康貴，帖佐啓吾，粟井和夫．MachineLearningを用いたテクスチャ解析によるTACEの治療効果判定．日本インターベンショナルラジオロジー学会雑誌，34(4)，pp.304，2020.04．

15. 河原大輔，横町和志，藤岡知加子，檜垣徹，齋藤明登，小澤修一，永田靖．仮想単色X線エネルギー画像を用いた改良型造影剤領域抽出システムの開発．日本放射線技術学会総会学術大会予稿集（76回），p.226，2020.03．

16. 木寺信夫，松原孝祐，檜垣徹，西丸英治，藤岡知加子，木口雅夫，粟井和夫．超高精細CTにおける胸部CT検査の撮影線量と画質に関する検討．日本放射線技術学会総会学術大会予稿集（76回），pp.208-209，2020.03．

17. 藤岡知加子，檜垣徹，立神史稔，横町和志，石風呂実，木口雅夫，粟井和夫．DeepLearningImageReconstructionを用いた線量低減の可能性;冠動脈ファントムでの検討．日本放射線技術学会総会学術大会予稿集（76回），p.180，2020.03．

18. 武部浩明，森脇康貴，宮崎信浩，馬場孝之，寺田大晃，檜垣 徹，粟井和夫，嶋田雅彦，中川真智子，北山健児．ディープラーニングを用いたびまん性肺疾患の異常陰影識別と異常陰影量の定量化．パターン認識・メディア理解研究会（PRMU），2019.10.18-19，東京．

19. 檜垣徹，中村優子，立神史稔，粟井和夫．Deep learning based spectral CT システムの初期検討．最先端CT研究会，2019.7.26，大阪．

20. 檜垣徹，中村優子，立神史稔，海地陽子，赤木元紀，穐山雄次，飯田慎，馬場康貴，粟井和夫．Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists. 日本発の総説論文：Advanced Medical Imaging 研究会 SAMI2019，2019.7.27，大阪．

21. 檜垣徹，中村優子，立神史稔，粟井和夫．循環動態シミュレータを用いたガドリニウム造影MR画像の生成．医用画像研究会（2019-07-MI），2019.7.5-7.6，北海道．

22. 檜垣徹．IVRにおけるMachine Learningの可能性 -画像再構成と治療効果判定-（特別企画2 AI時代のIVR：IVRとAI，ロボット）．第48回日本IVR学会総会，2019.5.31，福岡．

23. 中村優子，檜垣徹，立神史稔，秋野成臣，津島総，飯田慎，粟井和夫．CT画像最高性におけるDeep learningの可能性．第77回日本医学放射線学会総会，2018.4.12-15，神奈川．

24. 中村優子，檜垣徹，立神史稔，秋野成臣，飯田慎，粟井和夫．Deep learningを用いた腹部CT画像の画質改善：悪性肝腫瘍診断における初期経験．第77回日本医学放射線学会総会，2018.4.12-15，神奈川．

25. 小林誠，高内孔明，檜垣徹，牛尾綾香，安倍伸和，隅田博臣，粟井和夫．PET/CT融合画像の位置ずれ低減の検討：呼吸同期法と腹部圧迫法による呼吸管理．第74回日本放射線技術学会総会学術大会，2018.4.12-15，神奈川．

26. 久保慶祐，檜垣徹，Bisser Raytchev，玉木徹，金田和文．手術支援のための人体プロジェクションマッピングシステムの開発．画像関連学会連合会 第４回秋季大会，2017.11.30-12.02，京都．

27. 武部浩明，森脇康貴，馬場孝之，寺田大晃，檜垣 徹，粟井和夫，荻野康晴，村尾晃平，小澤亮夫，リュウ ルジエ，サオ シオン，ワン メンジャオ．病変の性状と3次元分布に基づくCT画像に対する類似症例画像検索．電子情報通信学会，パターン認識・メディア理解研究会（信学技報PRMU;117(105):57-62）2017.6.22-23，宮城．

28. 寺田大晃，本田有紀子，檜垣徹，藤岡知加子，木口雅夫，海地陽子，中村優子，立神史稔，飯田慎，粟井和夫．ファントム実験によるDual-Energy CTを用いた鉄・脂肪混合物の構成要素解析．第76回日本医学放射線学会総会，2017.4.13-16，神奈川．

29. 坂根寛晃，檜垣徹，藤田正代，福本航，中村優子，飯田慎，粟井和夫．逐次近似再構成法を用いた低線量HRCTの画質評価；標準線量HRCTとの比較検討．第76回日本医学放射線学会総会，2017.4.13-16，神奈川．

30. 中村優子，河岡友和，檜垣徹，福本航，飯田慎，相方浩，茶山一彰，粟井和夫．肝細胞癌のソラフェニブ治療における早期イメージングバイオマーカーとしての肝Perfusion CTの有用性の検討．第23回肝血流動態・機能 イメージ研究会，2017/2/4-5，大阪．

31. 檜垣徹，栗下勝将，Bisser Raytchev，玉木徹，金田和文．Tensor Voting 法を用いた Tractography における分岐・交差判別手法．第35回日本医用画像工学会大会 JAMIT 2016，PP-22, 2016.7.21-23，千葉．

32. 檜垣徹，海地陽子，粟井和夫．高CNR画像生成のための仮想単色CT画像の周波数空間における合成手法． Advanced CT・MR研究会，2015.6.6-7，長野．

33. 檜垣徹，中村優子，木村智樹，永田靖，粟井和夫．ガドキセト酸ナトリウム造影MRIを用いた肝放射線治療後の局所肝機能の推定 ～ EOB-MRI画像と放射線治療線量分布図の融合手法の開発 ～．電子情報通信学会，医用画像研究会（信学技報MI;113(281):1-4）2013.11.7，山口．

34. 檜垣徹，中村優子，穐山雄次，粟井和夫．Computed DWIにおける適切なb値の検討． Advanced CT・MR研究会，2013.06.15-16，長野．

35. 檜垣徹，立神史稔，粟井和夫．余剰時間画像を利用した冠動脈CT画像のノイズ低減手法．電子情報通信学会，医用画像研究会（信学技報MI;112(271):23-28）2012.10.29，山口．

36. 高木勇一郎，青山正人，日浦慎作，浅田尚紀，古本大典，檜垣徹，粟井和夫．PET画像の機能情報とHRCT画像の形態情報の統合による肺結節の良悪性鑑別． 情報処理学会，コンピュータビジョンとイメージメディア研究会（CVIM;182(16)）2012.5.23-24，愛知.

37. 檜垣徹，古本大典，飯田幸治，粟井和夫，廣川裕．11C-Flumazenil PET画像を用いたてんかん焦点の検出手法． 電子情報通信学会，医用画像研究会（信学技報MI;111(199):61-64）2011.9.6，茨城．

38. 檜垣徹，篠崎康平，Bisser Raytchev，玉木徹，金田和文．アトラスを用いた心臓の異種モダリティ画像間の自動位置あわせ． MIRU2010 画像の認識・理解シンポジウム（論文集:pp.894-897）2010.7.27-29，北海道．

39. 篠崎康平，檜垣徹，Bisser Raytchev，玉木徹，金田和文．擬似格子構造点群データの直接表示法． 第11回IEEE広島支部学生シンポジウム（論文集CD-ROM:pp.23-24）2009.11.21-22，山口.

40. 岡林慶，檜垣徹，Bisser Raytchev，玉木徹，金田和文，曽根隆志，木内良明．眼球運動を考慮した眼底断面画像の位置合わせ手法． 画像電子学会 第246回研究会（講演予稿:pp.1-6）2009.10.23，山口.

41. 西橋邦彦，檜垣徹，玉木徹，金田和文．グリッドコンピューティングを用いた大規模ボリュームデータの可視化．第10回IEEE広島支部学生シンポジウム（論文集CD-ROM:pp.214-217）2008.11.21-23，広島．

42. 檜垣徹，岡部憲史，西橋邦彦，玉木徹，金田和文．グリッドコンピューティングを用いた大規模ボリュームデータの可視化手法に関する研究． 情報処理学会，グラフィクスとCAD研究会（予稿集:pp.65-70）2007.8.16-17，広島.

43. 田中優，桧垣徹，玉木徹，金田和文，曽根隆志，三嶋弘，木内良明．放射状断面画像からの眼底ボリュームデータの高精度再構成手法． MIRU2007 画像の認識・理解シンポジウム（論文集:pp.487-492）広島市立大学，2007.7.30-8.1，広島.

44. 岡部憲史，檜垣徹，玉木徹，金田和文．グリッドコンピューティングを用いたボリュームレンダリング手法の開発． 平成18年度電気・情報関連学会中国支部第57回連合大会（講演論文集:p.311）2006.10.21，岡山.

45. 村上紗織，桧垣徹，田中優，玉木徹，金田和文，曽根隆志，三嶋弘．スプラッティング法を用いた円柱形状ボリュームデータ表示手法． Visual Computing / グラフィクスと CAD 合同シンポジウム 2006（予稿集:pp.221-226）2006.6.22-23，千葉.

招待講演

1. 檜垣徹．CT 技術の最前線：原理からAI画像再構成法、photon-counting CTまで． 第26回法医画像勉強会．2024.9.14，広島．

2. 檜垣徹．広島大学における医工連携・産学連携の取り組み．医用画像研究会，2024.9.6，広島．

3. 檜垣徹．CT技術の最新動向．SAMI 2024，第9回Advanced Medical Imaging 研究会，2024.7.26-26，東京．

4. 檜垣徹．キヤノンの最新CT技術 〜DLRからPCD-CTまで〜．ランチョンセミナー in 日本CT技術学会 第12回学術大会，2024.6.22，広島．

5. 檜垣徹．医療分野におけるフォトンカウンティング型X線検出器CT． 2024年度非破壊検査総合シンポジウム．2024.6.6，東京．

6. 檜垣徹．造影CTの最適化を目指して 〜造影理論編〜．GEヘルスケア 造影画像診断Webフォーラム．2024.3.26，online．

7. 檜垣徹．画像再構成法の変遷．第26回CTサミット．2023.7.29，大阪．

8. 檜垣徹．最新のCT技術．シンポジウム２画像診断の進歩と放射線治療への応用，第82回日本医学放射線学会総会．2023.4.13-16，横浜．

9. 檜垣徹．Image Reconstruction Methods for CT．Symposium 4: Next Generation of CT Technology，第82回日本医学放射線学会総会．2023.4.13-16，横浜．

10. 檜垣徹．生理学モデルを用いた造影シミュレーションとプロトコル最適化．ランチョンセミナー17，第82回日本医学放射線学会総会．2023.4.13-16，横浜．

11. Deep Learning based Spectral Imagingの特徴と広島大での臨床応用．第１６回 中部マルチスライスＣＴシンポジウム，2022.10.15，名古屋．  

12. 深層学習を応用した様々な画像再構成法．第1回 日本医用画像電子情報・人工知能研究会，2022/9/4，東京．

13. photon counting detector CTの基礎．第22回 瀬戸内CTサイエンスセミナー，2022/9/1，online．

14. 基礎から学ぶCTの最先端技術．第15回 Tottori BIRT Meeting，2022/8/27，鳥取．

15. PIQE：超解像DLRがもたらすprecise imagingの可能性．Global Standard CT Symposium 2022，2022.8.6，東京．

16. 自作ファントムを用いたさまざまな画質評価．日本放射線技術学会 中国四国支部 夏季学術大会 画像情報研究会．2022/7/3，広島．

17. Deep Learning Reconstructionの画質特性と様々な応用．国立病院機構関東甲信越放射線技師会 キヤノン共催セミナー．2022.5.30-6.13. ondemand

18. Deep Learning Reconstruction のこれまでと新たな可能性．第17回中四国放射線医療技術フォーラム（CSFRT2021）共催セミナー2 2021.12.18. 

19. 放射線科領域のデジタル機器の進歩 〜CT装置の進歩と様々なAI技術〜．第60回広島県歯科医学会 併催 第105回広島大学歯学会例会，2021.11.14，広島．

20. 被ばく低減画像再構成法の進化．Global Standard CT Symposium 2021，2021.10.9，オンライン．

21. 画像診断領域におけるAI技術の活用．第4回Retina Deep Dive，2021.9.4，オンライン．

22. Dual-energy CTの基礎と最新動向．秋田CTテクノロジーフォーラム，2020.11.21，秋田．

23. Spectral scan system ~ Dual-energy 最前線 ~．第7回中四国キヤノンCTユーザーWebinar，2020.10.11，広島．

24. 機械学習の撮影技術への応用．第11回「MRIを究める学術集会：信州MRI・技術と臨床」 ，2020.2.22，長野．

25. CT最新技術の原理と臨床応用について．広島県診療放射線技師会 令和元年度 第4回研修会，2020.2.11，広島．

26. CT/MR検査における最新技術．第15回 山口Volume CTセミナー．2020.2.1，山口．

27. Deep learningを用いた心臓CTの画像再構成法，第30回 日本心血管画像動態学会，2020.1.24，宮城．

28. 超高精細CTの物理特性．第3回超高精細CT研究会，2019.12.21，東京．

29. 深層学習を用いたCT画像再構成法．第31回つきじ放射線研究会，2019.11.9，東京．

30. 造影CT検査における最新技術 ~ 深層学習を用いた画像再構成法と新たな造影プロトコルの提案 ~．沖縄CT研究会，2019.11.2，沖縄．

31. Deep Learningを用いて設計された最新技術の原理と特徴．第15回中四国放射線医療技術フォーラム CSFRT ランチョンセミナー1，2019.9.21，高知．

32. Deep Learning based Spectral Imagingの原理と特徴．Global Standard CT Symposium 2019，2019.8.3，東京．

33. 機器・ソフトの進歩1：CT．Advanced Medical Imaging 研究会 SAMI2019，2019.7.27，大阪．

34. 画像診断領域におけるArtificial Intelligenceの動向．広島市佐伯区医師会学術講演会，2019.7.9，広島．

35. 造影シミュレーションを用いた造影剤投与の最適化に向けて 〜ヨード造影剤とガドリニウム造影剤のプロトコル比較〜．第17回マルチモダリティシンポジウム ランチョンセミナー1，2019.6.1，大阪．

36. Contrast enhancement optimizerがもたらす造影プロトコルの個別化．第78回日本医学放射線学会総会ランチョンセミナー21，2019.4.13，神奈川．

37. 3T MRI TRILLIUM OVALを用いた様々な画像解析技術．第78回日本医学放射線学会総会ランチョンセミナー11，2019.4.12，神奈川．

38. Olea SDKを用いた医用画像処理プラグインの構築．Advanced Imaging Seminar 2019， 2019.2.9，東京．

39. 機械学習を用いたびまん性肺疾患の類似症例検索技術．第11回呼吸機能イメージング研究会学術集会，2019.1.25，東京．

40. あらたな画像生成のしくみと画質評価．第17回 CTテクノロジーフォーラム，2018.12.8，東京．

41. CT再構成の進歩．第5回 中四国キヤノンCTユーザ会，2018.9.8，岡山．

42. DLR「AiCE」物理特性の検証．Global Standard CT Symposium 2018，2018.8.18，東京．

43. 画像診断分野におけるAIの動向．第16回 広島国際フォーラム，2018.08.04，広島．

44. CT画像再構成法の進歩 - Model-based Iterative ReconstructionからDeep Learning-based Reconstructionへ．第1回 広島キヤノンCTセミナー，2018.06.21，広島．

45. 循環動態シミュレータを用いたヨード・Gd造影の最適化．第77回日本医学放射線学会総会ランチョンセミナー01，2018.4.13，神奈川．

46. Essential Knowledge About Gadolinium Contrast Agents on Magnetic Resonance Imaging to Plan Optimal Contrast Enhancement Protocols: Graphic Demonstration Using a Computer Simulation. 造影剤を語る会 in Chicago. 2017.11.28, Chicago, USA.

47. Dual Energy CT の基礎，第45回日本放射線技術学会秋季学術大会，第69会撮影部会テーマB「Dual Energy CTの臨床導入とその展望」，2017.10.19，広島．

48. コンピュータシミュレーションによるGd造影剤の体内動態解析，第45回日本核磁気共鳴医学会大会 (ランチョンセミナー8)，2017.9.15，栃木．

49. 画質向上のためのCT技術，第18回瀬戸内CTサイエンスセミナー，2017.9.2，広島．

50. Area Detector CTが変えたもの（IR & DE），Global Standard CT Symposium 2017，2017.8.19，東京．

51. 研究に役立つMR画像処理，第13回 広島MRIセミナー，2017.7.15，広島．

52. テクスチャ特徴量に基づく機械学習入門，第26回山陽・山陰 Radiology Update 学術講演会，2017.6.10，岡山．

53. rDEを用いた基礎画質改善と電子密度による脳腫瘍評価，Advanced Application CT Symposium, 2017.2.18，東京．

54. MR造影剤の体内動態と造影効果，AIMS abdominal imaging，2016.11.5，東京．

55. FIRSTの画質特性について，Global Standard CT Symposium 2016，2016.8.20，東京．

56. デジタル画像処理の基礎，医用画像情報学会 平成27年度春季（第174回）大会，2016.2.6，広島．

57. （MRI画像）PCで簡単に行える解析の基礎から応用まで，東芝メディカルシステムズMRIユーザーミーティング，2016.1.30，岡山．

58. 遠隔読影システムLOOKRECとCIRCUS CSを併用した肺がん検診の試み～広島県三次市におけるトライアル～，第10回次世代コンピュータ支援診断ソフトウェア臨床使用・評価プラットフォーム研究会，2015.12.19，東京．

59. Simulation technique for predicting organ enhancement, Nemoto Kyorindo evening seminar at RSNA 2015, 2015.11.30, Chicago, USA.

60. Mathematical Methods for Imaging in Medicine，JSMP医学物理サマーセミナー2015，2015.9.3-5，広島．

61. Fusion, Registration, Deformation，JSMP医学物理サマーセミナー2015，2015.9.3-5，広島．

62. これで理解！Dual Energy CTのABC，平成27年度学術大会CT研究会，2015.7.5，岡山．

63. 医用画像データの活用術，全国歯科大学・歯学部附属病院 診療放射線技師連絡協議会 平成27年度総会・研修会, 2015.6.27，広島．

64. CT Perfusionの基礎とその限界，膵Perfusion・機能画像研究会，2015.6.21，愛知．

65. 新しいCT・MR技術の肝疾患への応用，Radiology Today in Okayama，2015.1.31，岡山．

66. 医用画像処理を始める前に知っておきたいこと 〜画像化の原理から実際の検査方法まで〜，画像センシング展2014，2014.7.25，神奈川．

67. 画像工学の基礎と臨床応用，第 122回広島県放射線治療技術研究会，2014.5.31，広島．

68. オープンソースソフトウェアを用いた医用画像処理，第7回 広島画像情報学セミナー，2011.7.1, 広島． 

商業誌

1. 中村優子，檜垣徹，近藤翔太，前田章吾，成田圭吾，粟井和夫．腹部領域におけるCT画像診断の最新動向，肝造影CTにおける最新技術，人工知能の登場による新たな展開．INNERVISION. 2024; 39: 2-6.

2. 檜垣徹．2024年のRadiology~今年はこうなる!~2024年における「CT」のトレンドと最新動向．RadFan．2024; 22(4), pp.29-33.

3. 檜垣徹．CTの最新動向について．インナービジョン．2024; 39(2): 21-22.

4. 檜垣徹．CT画像再構成法の変遷．インナービジョン．2023; 38(10): 20-24.

5. 檜垣徹，中村優子，粟井和夫．DLR(CT）．臨床画像．2023; 39(4): 418-426.

6. 檜垣徹．【RSNA2022 REPORT】RSNA参加報告. Rad Fan. 2023; 21(2): 26-28.

7. 檜垣徹．CTの最新動向．INNERVISION. 2023; 38(2): 21-23.

8. 檜垣徹，中村優子，粟井和夫．PCD CTの原理．臨床画像．2023; 39(2): 202-208.

9. 檜垣徹．【Global Standard CT Symposium 2022】PIQE：超解像DLRがもたらすprecise imagingの可能性．INNERVISION． 2022; 37(11): 付録: 2-3．

10. 檜垣徹．【企画】特集１：CTの現状と未来．Rad Fan．2022; 20(11): 7-47．

11. 檜垣徹．高精細CTの現状と今後の展望．Rad Fan．2022; 20(11): 35-38．

12. 中村優子，檜垣徹，近藤翔太，成田圭吾，粟井和夫．原発性肝細胞癌診断における肝造影CT -低管電圧撮影・Dual-energy CTの有用性-．消化器内科．2022; #33, 4(8): 44-53.

13. 檜垣徹．3年ぶりの現地参加を終えて/ITEM2022参加レポート．Rad Fan．2022; 20(6): 81-84．

14. 檜垣徹．CTに係わる最新のトレンドと動向．Rad Fan. 2022; 20(4): 26-30．

15. 檜垣徹．CTによる腹部画像診断の最新動向と未来への展望 > フォトンカウンティングCTの原理と技術・今後の展望．INNERVISION. 2022; 37(4): 10-13. 

16. 檜垣徹．RSNA2021の動向．Rad Fan．2022; 20(2): 30-32．

17. 檜垣徹．特別企画「My favorite item」Best 7．Rad Fan. 2022; 20(1): 12-13．

18. 檜垣徹．ここが知りたい！CT再入門 -新技術で何がわかる？-. 画像診断. 2022; 42(1): 94-96.

19. 檜垣 徹．被ばく低減画像再構成法の進化．INNERVISION. 2021; 36(12)（別冊付録）: 2-3. 

20. 檜垣徹，立神史稔，中村優子，粟井和夫．深層学習を応用した画像再構成法．Heart View．2021; 25(11), 1060-1064.

21. 檜垣徹，中村優子，立神史稔，粟井和夫．CTの再構成法update. 画像診断. 2021; 41: 928-935.

22. 中村優子，檜垣徹，本田有紀子，粟井和夫。肝細胞癌の治療効果判定．画像診断．2021; 41: 986-987.

23. 檜垣徹．CT画質評価のための3Dプリンタの活用．Rad Fan. 2021; 19: 86-88.

24. 粟井和夫，檜垣徹，寺田大晃。【AI+医用画像-現場視点で解くその変革】医用画像AI開発の方向性と展望　胸部CT検査の診断を支援する3次元類似症例検索技術の研究. 新医療. 2020; 47: 68.

25. 立神史稔, 檜垣　徹, 藤岡智加子, 久野優花, 三谷英範, 末岡敬浩, 福本　航, 谷　千尋, 粟井和夫. CTにおける注意すべきartifacts. 臨床放射線. 2020; 65: 1267-1274.

26. 檜垣徹，立神史稔，福本航，中村優子，粟井和夫．心臓CT領域におけるdeep learning画像再構成法．Rad Fan．2020; 18: 27-29.

27. 檜垣徹．放射線診断領域でのdeep learningの現状を知る-どこまで臨床応用は可能か？ 心エコー．2020; 21: 482-491.

28. 檜垣徹，中村優子，立神史稔，粟井和夫．【特集 医療用AI技術の最前線－実装に向けて－】Deep learningを応用した画像再構成－CT・MRIの画質工場への活用－. Medical Science Digest．2020; 46: 192-195.

29. 檜垣徹，立神史稔，中村優子，本田有紀子，粟井和夫．【進む！広がる！Dual Energy CT ルーチン DECTに向けた検査・診断ノウハウ Ⅰ総論】Dual energy CTの現状と将来展望．INNERVISION．2020; 35: 2-5．

30. 檜垣徹．RSNA2019 私の○と✕．Rad Fan．2020; 18(2): 36-37．

31. Maeda S, Higaki T, Tatsugami F, Nakamura Y, Tsushima S, Fujioka C, Awai K.  Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?  RSNA2018 Dose Exhibit, Image wisely. 

32. Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Awai K.  Possibility of Deep Learning Technique in Medical Imaging: Can Deep Learning Improve Image Quality?  RSNA2018 Dose Exhibit, Image wisely.

33. 檜垣徹．【Global Standard CT Symposium 2019】Deep Learning Spectral Imagingの原理と応用．INNERVISION． 2019; 34付録: 10-11．

34. 檜垣徹．新たな画像生成のしくみと画質評価．アールティ 2019; 68: 6-9．

35. 檜垣徹．Olea SDKを用いた医用画像処理プラグインの構築．INNERVISION．2019; 34(5, 別冊付録): 12-13.

36. 檜垣徹，中村優子，立神史稔，粟井和夫．【2019年のRadiology-今年1年を診断する！CT】2019年のCTはこうなる．Rad Fan．2019; 4: 51-54.

37. 檜垣徹．RSNA2018 新年の抱負from USA．Rad Fan. 2019; 17(2): 24-25.

38. 檜垣徹，前田章吾．RSNA2018受賞報告．INNERVISION．2019; 34(2): 60-61．

39. 檜垣徹，中村優子，立神史稔，粟井和夫．CT検診における被ばく低減技術の進歩：画像再構成法における技術の現状と将来展望．INNERVISION．2019; 34(1): 2-4．

40. 赤木元紀，中村優子，成田圭吾，檜垣徹，粟井和夫．【（特集）RSNA2018】エキスパートによるRSNA2018ベストリポート 1.領域別最新動向：CT＆MRIの技術と臨床を中心に 腹部（肝・胆・膵を中心に）2. INNERVISION. 2019; 34(1): 12-13.

41. 檜垣徹. DLR「AiCE」の物理特性の検証. INNERVISION. 2018; 33(12付録): 6-7.

42. 檜垣徹．RSNA2018 Now on Report!．Rad Fan Online; 2018.

43. 檜垣徹．医療用CT被ばくを考える ―低減化の取り組みと課題．エネルギーレビュー．2018; 11: 9-12.

44. 粟井和夫，檜垣徹，中村優子，成田圭吾，寺田大晃，福本航，坂根寛晃，野村行弘．画像診断支援のためのAIの活用．INNERVISION. 2018; 33(7): 50-54.

45. 粟井和夫，檜垣徹，中村優子，立神史稔．Deep Learningを用いた画像最構成技術の躍進．INNERVISION．2018; 33(7): 98-99.

46. 中村優子，檜垣徹，赤木元紀，成田圭吾，本田有紀子，立神史稔，飯田慎，粟井和夫．【ⅠCTのベネフィット＆ポテンシャル】Dual energy CTによる肝疾患診断への挑戦．INNERVISION. 2018; 33(5): 8-10.

47. 中村優子，檜垣徹，成田圭吾，赤木元紀，松原佳子，神岡尚吾，穐山雄次，原田邦明，西原崇，瀧澤将宏，尾藤良孝，飯田慎，粟井和夫．【Ⅶ 先端技術の臨床応用の実際】3T MRIによる体幹部（特に上腹部）領域の検査の実際－「TRILLIUM OVAL」の臨床的有用性．INNERVISION. 2018; 33(5): 78-80.

48. 檜垣徹，中村優子，立神史稔，粟井和夫．【特集2 AIで画像診断はどこまで変わるのか Part3 10年後の画像診断 AIによってどう変わる？】AIと共に歩む放射線科の未来．Rad Fan. 2018; 16: 124-126.

49. 檜垣徹．学会報告「AI関連」．Bayer World Online News (ECR2018)．

50. 檜垣徹．RSNA2017 私の○と✕．Rad Fan. 2018; 16(2): 48-49.

51. 檜垣徹．エキスパートがお届け!!Site of RSNA．Rad Fan Online; 2017.

52. 檜垣徹．Area Detector CTが変えたもの (IR & DE)．INNERVISION．2017; 32(12, 別冊付録): 8-9.

53. 青山正人，古本大典，高木勇一郎，檜垣 徹，粟井和夫. HRCTとPETを統合させたコンピュータ支援診断の有用性. 臨床放射線. 2017; 62(10): 1245-1254.

54. 檜垣徹．Dual Energy CTの基礎と原理．映像情報Medical 増刊号 Multislice CT 2017 BOOK．2017; 49(8): 60-65.

55. 檜垣徹．rDEを用いた基礎画質改善と電子密度による脳腫瘍評価．INNERVISION．2017; 32(5, 別冊付録): 4-5.

56. 檜垣徹．CT装置の最新動向．Rad Fan. 2017; 15(4): 38-41.

57. 檜垣徹．FIRSTの画質特性について．INNERVISION．2016; 31(12, 別冊付録): 8-9.

58. 中村優子，檜垣徹，福本航，藤岡千加子，木口雅夫，粟井和夫．肝臓のperfusion CT．臨床画像．2016; 32(5): 527-535.

59. 檜垣徹，中村優子，立神史稔，粟井和夫．Perfusion CTの基礎．臨床画像．2016; 32(5): 492-501.

60. 檜垣徹，粟井和夫．2016年のトレンド：逐次近似画像再構成．Rad Fan. 2016(4); 14: 44-47.

61. 檜垣徹，Bisser Raytchev，玉木徹，金田和文．境界情報と画素値を併用したCT画像からの左心室セグメンテーション -モデルデータを用いた精度検証-．画像ラボ．2016; 27(1): 1-7.

62. 立神史稔，檜垣徹，藤岡知加子，木口雅夫，津島総，馬場康貴，飯田慎，粟井和夫．逐次近似再構成法の新技術－FIRSTの概要と初期経験－．映像情報Medical 増刊号 Multislice CT 2015 BOOK．2015; 47(10): 88-93.

63. 粟井和夫，檜垣徹，中村優子，飯田慎，木口雅夫. 【最新肝癌学-基礎と臨床の最新研究動向】肝癌の検査・診断-画像診断-CT 低電圧CTの基礎と臨床応用．日本臨床．2015; 73(1): 519-524.

64. 立神史稔，檜垣徹，海地陽子，本田有紀子，藤岡知加子，木口雅夫，津島総，飯田慎，粟井和夫．320列面検出器を用いた冠動脈CT angiography－描出能向上に寄与する最新技術－．映像情報メディカル．2015; 47(3): 200-203.

65. 檜垣徹，津島総，福本航，中村優子，立神史稔，粟井和夫．Iterative Reconstructionの基礎と臨床応用．映像情報Medical 増刊号 Multislice CT 2014 BOOK．2014; 46: 90-95.

66. 檜垣徹．RSNAからみたDual Energy CT最新事情．Rad Fan. 2014; 12: 30-31.

67. 中村優子，檜垣徹，福本航，立神史稔，山上卓士，伊達秀二，粟井和夫. 腹部 Perfusion CTの現況と今後の展望．映像情報Medical 増刊号 Multislice CT 2013 BOOK．2013; 45: 84-87.

68. 立神史稔，檜垣徹，海地陽子，谷千尋，本田有紀子，古本大典，木口雅夫，伊達秀二，粟井和夫．Aquilion ONEを用いた冠動脈CT -ハイブリッド型逐次近似画像再構成法による被ばく低減の可能性- ．映像情報Medical 増刊号 Multislice CT 2013 BOOK．2013; 45: 54-57.

69. 粟井和夫，檜垣徹，中村優子，立神史稔，伊達秀二．逐次画像再構成法の今後の普及は？ 映像情報Medical 増刊号 Multislice CT 2013 BOOK．2013; 45: 20-22.

70. 中村優子，檜垣徹．CTにおける被ばく低減への挑戦．インナービジョン．2012; 27: 17-18.

71. 立神史稔，伊達秀二，柿沢秀明，檜垣徹，藤岡知加子，木口雅夫，松浦範明，浦島正喜，粟井和夫．CT用造影剤の体内動態とそれに基づく造影剤の投与法: 心臓，肺，縦隔．臨床画像．2012; 28: 1305-1313.

72. 立神史稔，伊達秀二，柿沢秀明，檜垣徹，藤岡知加子，木口雅夫，粟井和夫．Coronary CT angiographyの最前線―撮影方法の最適化をめざして―．映像情報Medical．2012; 9: 828-833.

受賞

1. 日本CT技術学会 第12回学術大会，優秀研究発表賞，「空間再現ディスプレイを用いたフォトリアリスティックボリュームレンダリング手法」

2. Katayama K, Higaki T, Kaneda K, Raytchev B, Fukumoto W. Real-Time Intuitive Interaction and Realistic Illumination for CT Volume Rendering. 

   • IEVC2024 Best Paper Award

3. "Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?", RSNA2018.

   • Certificate of Merit Award

   • Identified for RadioGraphics

   • Identified for Image Wisely

4. "Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study.", ECR2018.

   • Certificate of Merit Award

5. Advanced CT・MR研究会2015，大会長賞「高CNR画像生成のための仮想単色CT画像の周波数空間における合成手法」

6. Advanced CT・MR研究会2013，大会長賞「Computed DWIにおける適切なb値の検討」

7. 平成20年度広島大学エクセレントスチューデントスカラシップ

8. 第9回IEEE広島支部学生シンポジウム貢献賞

委員

1. 情報処理学会中国支部役員（2024-）

2. 映像情報メディア学会中国支部役員．（2023-）

3. RadFan（株式会社メディカルアイ），編集委員．（2022-）

4. 広島大学情報科学部，教務委員．（2022-2023年度）

5. 膵Perfusion・機能画像研究会．幹事．

6. Slicer Hands on Seminar Hiroshima. 2011.4.27, Hiroshima. 

7. 第9回 IEEE広島支部 学生シンポジウム．2007.11.24-25，広島．

知的財産

1. 出願番号：特願2020-090139

特許番号：-

発明者：嶋田雅彦，粟井和夫，寺田大晃，檜垣徹．

発明の名称：肺陰影計測プログラム、肺陰影計測方法及び肺陰影計測システム

出願人：富士通株式会社 / 国立大学法人広島大学

出願日：  2020.5.22

2. 出願番号：特願2020-139693

特許番号：-

発明者：宮崎信浩，武部浩明，馬場孝之，粟井和夫，檜垣徹，寺田大晃．

発明の名称：画像変換プログラム、方法、および装置．

出願人：富士通株式会社 / 国立大学法人広島大学

出願日：2020.8.20

3. 出願番号：特願2018-200816

特許番号：-

発明者：檜垣徹，中村優子，粟井和夫，増田和正，弓場孝治，吉川明史，根本茂．

発明の名称：シミュレータ、該シミュレータを備える注入装置または撮像システム、及びシミュレーションプログラム

出願人：国立大学法人広島大学 / 株式会社根本杏林堂

出願日：2018.10.25

4. 出願前譲渡．画像処理装置及び核磁気共鳴イメージング装置．出願番号：2017-161584

5. 出願番号：特願2017-130873

特許番号：特許第6920904号

発明者：檜垣徹，中村優子，粟井和夫，増田和正，弓場孝治，吉川明史，根本茂．

発明の名称：シミュレータ、該シミュレータを備える注入装置又は撮像システム、及びシミュレーションプログラム

出願人：国立大学法人広島大学 / 株式会社根本杏林堂

出願日：2017.7.4

6. 出願番号：特願2016-561247
   特許番号：特許第6740136号
   発明者：檜垣徹，中村優子，粟井和夫，増田和正，弓場孝治，吉川明史，根本茂．

発明の名称：シミュレータ、該シミュレータを備える注入装置又は撮像システム、及びシミュレーションプログラム

出願人：国立大学法人広島大学 / 株式会社根本杏林堂

出願日： 2015.11.26

教育

1. 情報科学演習I，広島大学情報科学部（2024年度〜 第1ターム）

2. 画像処理，広島大学情報科学部（2021年度〜 第2ターム）

3. 情報データ科学演習III，広島大学情報科学部（2021-2023年度 第3ターム）

4. 画像工学特論，広島大学大学院先進理工系科学研究科（2022年度〜 第1ターム）

研究助成

1. 令和5年度バイオデザイン部門によるシーズ・ニーズ探索研究助成金．(直接経費50万円)

2. 「基盤研究（Ｃ）」及び「若手研究」における独立基盤形成支援，2023年度．(直接経費300万円)

3. 安全かつ効率的な造影CT検査のための非接触バイタルセンサーの開発．2023-2026年度 科学研究費補助金 基盤C (直接経費360万円)

4. Dual-energy CTの新たな物質識別画像を応用した死後CTの死因診断能向上に関する研究．2023-2025年度 科学研究費補助金 基盤C (研究分担者)

5. MRIによる肝細胞機能の推定：肝細胞信号の選択的検出法の開発とその臨床応用．2023-2025年度 科学研究費補助金 基盤C (研究分担者)

6. 株式会社根本杏林堂，共同研究，2022年．（20万円）

7. 未知の肺感染症にも対応可能な胸部CT画像の深層学習による定量解析手法の開発．2022-2024年度 科学研究費補助金 基盤C (研究分担者)

8. 株式会社根本杏林堂．奨学寄附金，2021年．(750万円)

9. 深層学習とマルチトレーサーを活用した心外膜下脂肪の次世代病態イメージングの開発．2020-2023年度 科学研究費補助金 基盤C (研究分担者)

10. 日本学術振興会，全身循環シミュレータを用いたCT angiographyにおける至適造影法の開発．2020-2022年度 科学研究費補助金 基盤C (直接経費330万円)

11. 深層学習を用いた心拍出量予測およびそれに基づく造影CTプロトコルの最適化．2020-2023年度 科学研究費補助金 基盤C (研究分担者)

12. 日本学術振興会，医療応用のための人体プロジェクションマッピングシステムの開発．平成30-令和2年度 科学研究費補助金 基盤C (研究分担者)

13. 日本学術振興会，全身循環モデルを用いたMR造影シミュレータ，平成28-30年度 科学研究費補助金 若手B (直接経費290万円)

14. 日本学術振興会，Dual-Energy CT による構成元素解析に着目した腎病変CT診断法の開発，平成28-30年度 科学研究費補助金 基盤C (研究分担者)

15. 日本学術振興会，逐次近似画像再構成法を用いた低線量CTにおける冠動脈石灰化スコアの確立，平成28-31年度 科学研究費補助金 基盤C (研究分担者)

16. 日本学術振興会，大規模学習ニューラルネットワークを用いた低線量CT画像の画質修復，平成26-28年度 科学研究費補助金 基盤C (研究分担者)

17. 日本学術振興会，ダイナミック心臓ＣＴ画像を用いた冠動脈の血流予備量比の推定，平成25-27年度 科学研究費補助金 若手B (直接経費320万円)

18. 日本学術振興会，異時相画像データおよび非剛体変形統合法を用いた低線量冠動脈CTの開発，平成24-26年度 科学研究費補助金 基盤C (研究分担者)

19. 附属施設研究経費，CT Perfusion解析のための仮想4次元CTモデルデータの作成手法，平成24年度 産学連携若手研究者支援 (直接経費30万円)

20. 科学技術振興機構，ダイナミック心臓CT画像を用いた心筋血流様態の解析，平成24年度 研究成果最適展開支援事業（A-STEP） FS探索タイプ (170万円)

21. 科学技術振興機構，PET画像を用いた動脈採血に依らない脳機能の定量解析手法の開発，平成23年度 研究成果最適展開支援事業（A-STEP） FS探索タイプ (300万円)

22. 附属施設研究経費，2テンソルモデルを用いた拡散テンソル解析による脳の交差神経繊維束の可視化，平成23年度 産学連携若手研究者支援 (直接経費30万円)

23. 日本学術振興会，医療分野への画像応用に関する研究，平成21-22年度 特別研究員奨励費 (直接経費140万円)

所属学会

• 情報処理学会 コンピュータグラフィックスとビジュアル情報学研究会

• 電子情報通信学会 医用画像研究会

• 医用画像情報学会

• 映像情報メディア学会

ライセンス

• CGエンジニア検定2級

• 教員免許（高等学校・工業）

• 第二種電気工事士

• 工事担任者（アナログ3種）

• 普通自動車免許