News

Quan, Cong and Zhou, Jinjie and Zhu, Yuanzheng and Chen, Yang and Wang, Shanshan and Liang, Dong* and Liu, Qiegen*, Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Transactions on Medical Imaging. 2021;10.1109/TMI.2021.3081677. IF=6.685

Siyuan Wang, Junjie Lv, Zhuonan He, Dong Liang*, Yang Chen, Minghui Zhang, Qiegen Liu*. Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. Neurocomputing. 2021; 437: 325-338. IF=4.438

Zhilang Qiu#, Sen Jia#, Shi Su,Yanjie Zhu, Xin Liu, Hairong Zheng, Dong Liang*, Haifeng Wang. Highly accelerated parallel MRI using wave encoding and virtual conjugate coils. Magnetic Resonance in Medicine. 2021, DOI: 10.1002/mrm.28803. IF=3.635

Ziwen Ke#, Wenqi Huang#, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang*, Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Transactions on Medical Imaging. 2021, 40(12): 3698-3710. IF=10.048

Jing Cheng#, Zhuo-Xu Cui#, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang*, Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Transactions on Medical Imaging. 2021, 40(11): 3140-3153. IF=10.048

Wenqi Huang#, Ziwen Ke#, Zhuo-Xu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang*, Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Analysis. 2021, 73: 102190. IF=8.545

Lixian Zou#, Dong Liang#, Huihui Ye, Shi Su, Yanjie Zhu, Xin Liu, Hairong Zheng*, Haifeng Wang*, Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution. Journal of Magnetic Resonance. 2021, 330: 107042. IF=2.229

Yanjie Zhu#, YuanyuanLiu#, Leslie Ying, Zhilang Qiu, Qiegen Liu, Sen Jia, Haifeng Wang, Xi Peng, Xin Liu, Hairong Zheng, Dong Liang*, A 4-minute solution for submillimeter whole-brain T1ρ quantification. Magnetic Resonance in Medicine. 85(6): 3299-3307. IF=4.668

Yuanyuan Liu, Leslie Ying, Weitian Chen, Zhuo-Xu Cui, Qingyong Zhu, Xin Liu, Hairong Zheng, Dong Liang*, Yanjie Zhu*, Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model. Quantitative imaging in medicine and surgery. 2021, 11(8): 3376-3391. IF=2.95

Sen Jia, Zhilang Qiu, Lei Zhang, Haifeng Wang, Gang Yang, Xin Liu, Dong Liang, Hairong Zheng*, Aliasing-free reduced field-of-view parallel imaging. Magnetic Resonance in Medicine. 2021, DOI: 10.1002/mrm.29046. IF=4.668

Shi Su#, Zhilang Qiu#, Chao Luo, Caiyun Shi, Liwen Wan, Yanjie Zhu, Ye Li, Xin Liu, Hairong Zheng, Dong Liang*, Haifeng Wang*. Accelerated 3D bSSFP using A Modified Wave-CAIPI Technique with Truncated Wave Gradients. IEEE Transactions on Medical Imaging. 2020. DOI 10.1109/TMI.2020.3021737. IF=6.685

Haifeng Wang#, Zhilang Qiu#, Shi Su, Sen Jia, Ye Li, Hairong Zheng, Dong Liang*. Parameter Optimization Framework on Wave Gradients of Wave-CAIPI Imaging. Magnetic Resonance in Medicine. 2020;83:1659-1672. IF=3.635

Yanjie Zhu#, Yuanyuan Liu# ,Leslie Ying, Zhilang Qiu, Qiegen Liu, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Dong Liang, A 4-minute solution for submillimeter whole-brain T1rho quantification. Magnetic Resonance in Medicine, 2020, DOI: 10.1002/mrm.28656. IF=3.635

Ziwen Ke, Jing Cheng, Leslie Ying, Hairong Zheng, Yanjie Zhu*, and Dong Liang. (2020). An unsupervised deep learning method for multi-coil cine MRI. Physics in Medicine & Biology, 65(23), 235041. IF=2.883

Huangxuan Zhao#, Ziwen Ke#, Fan Yang, Ke Li, Ningbo Chen, Liang Song, Chuansheng Zheng*, Dong Liang*, Chengbo Liu*. Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages, Advanced Science, 2020, DOI: 10.1002/advs.202003097, IF=15.840

Qiyang Zhang, Zhanli Hu, Changhui Jiang, Hairong Zheng, Yongshuai Ge* and Dong Liang*. Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging[J]. Physics in Medicine and Biology. 2020. 65(15). 5010. IF=2.883

Zhanli Hu#, Yongchang Li#, Sijuan Zou, Hengzhi Xue, Ziru Sang, Xin Liu, Yongfeng Yang, Xiaohua Zhu*, Dong Liang*, Hairong Zheng*, “Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks”, Physics in Medicine and Biology, Vol. 65, No. 21: 215010, 2020. IF=2.883

Zhanli Hu, Zixiang Chen, Chao Zhou, Xuda Hong, Jianwei Chen, Qiyang Zhang, Changhui Jiang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Zhicheng Li*, Dong Liang*, “Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array”, Journal of X-Ray Science and Technology, Vol. 24, No. 4, pp. 627-638, 2020. IF=1.342

Yongshuai Ge, Jianwei Chen, Peiping Zhu, Jun Yang, Shiwo Deng, Wei Shi, Kai Zhang, Jinchuan Guo, Huitao Zhang*, Hairong Zheng, and Dong Liang*. "Dual phase grating based X-ray differential phase contrast imaging with source grating: theory and validation." Optics Express 28, no. 7 (2020): 9786-9801. IF=3.669

Yongshuai Ge, Ting Su, Jiongtao Zhu, Xiaolei Deng, Qiyang Zhang, Jianwei Chen, Zhanli Hu, Hairong Zheng, and Dong Liang*. "ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge." Quantitative Imaging in Medicine and Surgery 10, no. 2 (2020): 415-427. IF=3.226

Yongshuai Ge, Peizhen Liu, Yifan Ni, Jianwei Chen, Jiecheng Yang, Ting Su, Huitao Zhang, Jinchuan Guo, Hairong Zheng, Zhicheng Li* and Dong Liang*. "Enhancing the X-ray differential phase contrast image quality with deep learning technique." IEEE Transactions on Biomedical Engineering (2020). IF=4.424

2019年10月，梁栋研究员应邀在MICCAI-MLMIR workshop做 keynote talk。

2019年6月，梁栋研究员应邀在University of Wisconsin-Madison做题为“Deep Fast MR Imaging”的学术报告

H Zhao#, Z Ke#, N Chen#, S Wang, K Li, L Wang, X Gong, W Zheng, L Song, Z Liu*, D Liang,*, C Liu, "A new deep learning method for image deblurring in optical microscopic systems", Journal of Biophotonics, DOI: 10.1002/jbio.201960147, 2019.

D Liang, J Cheng, Z Ke, L Ying, Deep MRI Reconstruction: Inverse Problems Meet Neural Networks, IEEE Signal Processing Magazine, Doi:10.1109/MSP.2019.2950557, 2019.

Liu, Q. Liu, M. Zhang, Q. Yang, S. Wang and D. Liang, “IFR-Net: Iterative Feature Refinement Net-work for Compressed Sensing MRI,” IEEE Transactions on Computational Imaging, 2019.

Y Zhu, Y Liu, L Ying, X Peng, Y J Wang, X Liu, D Liang, “Bio-SCOPE: Fast bi-exponentialT1ρ mapping of the brain using signal-compensated low-rank plus sparse matrix decomposition”, Magnetic Resonance in Medicine, DOI:10.1002/mrm.28067, 2019.

H Wang, D Liang, S Su, K King, Y Chang, X Liu, H Zheng, L Ying. Improved Gradient-echo 3D Magnetic Resonance Imaging Using Compressed Sensing and Toeplitz Encoding with Phase-Scrambled RF Excitation, Medical physics, in press, 2019.

H Wang, Z Qiu, S Su, S Jia, Y Li, X Liu, H Zheng, D Liang, Parameter Optimization Framework on Wave Gradients of Wave-CAIPI Imaging. Magnetic Resonance in Medicine. DOI:10.1002/mrm.28034, 2019.

Q Liu, Q Yang, H Cheng, S Wang, M Zhang, D Liang, Highly undersampled magnetic resonance imaging reconstruction using autoencoding prior, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.27921,2019

S. Li, B. Qin, J. Xiao, Q. Liu, Y. Wang and D. Liang, "Multi-channel and Multi-model based Autoencoding Prior for Grayscale Image Restoration," IEEE Transactions on Image Processing. DOI: 10.1109/TIP.2019.2931240

Sen Jia, Lei Zhang, Lijie Ren, Yulong Qi, Jinhao Ly, Na Zhang, Ye Li, Xin Liu, Hairong Zheng, Dong Liang, Yiu-cho Chung, Joint intracranial and carotid vessel wall imaging in 5 minutes using compressed sensing accelerated DANTE-SPACE, European Radiology, https://doi.org/10.1007/s00330-019-06366-7

Haifeng Wang#, Sen Jia#, Yuchou Chang, Yanjie Zhu, Chao Zou, Ye Li, Xin Liu, Hairong Zheng, Dong Liang*. Improving GRAPPA reconstruction using joint nonlinear kernel mapped and phase conjugated virtual coils. Physics in Medicine & Biology, https://doi.org/10.1088/1361-6560/ab274d,2019

研究团队译著《压缩感知理论与应用》出版，机械工业出版社

ShanshanWang#, Ziwen Ke#, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, DongLiang. DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training, NMR in Biomedicine: 2019, DOI:10.1002/nbm.4131

Caiyun Shi#, Jing Cheng#, Guoxi Xie, Shi Su, Yuchou Chang, Hanwei Chen, Xin Liu, Haifeng Wang* , Dong Liang, "Positive Contrast Susceptibility Imaging Based on First-order Primal-dual Optimization", Magnetic Resonance in Medicine, DOI: 10.1002/mrm.27791, 2019

Zhanli Hu#, Changhui Jiang#, Fengyi Sun, Qiyang Zhang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, “Artifact correction in low-dose dental CT imaging using wasserstein generative adversarial networks”, Medical Physics, 2019. https://doi.org/10.1002/mp 134

Ye Li, Jo Lee, Lei Zhang, Qiaoyan Chen, Changjun Tie, Chao Luo, Xiaoliang Zhang, Dong Liang, Xin Liu, Hairong Zheng, Design and testing of a 24-channel head coil for MR imaging at 3 T, Magnetic Resonance Imaging, 58:162-173, 2019

2018年12月，梁栋研究员作为第一发明人的发明专利“快速磁共振成像方法及其系统”获第二十届中国专利优秀奖

2018年10月，梁栋研究员获得2018年度王天眷波谱学奖。http://www.wipm.ac.cn/xscbw/bpxzz/wtj/

Zhi-Cheng Li, Hongmin Bai, Qiuchang Sun, Yuanshen Zhao, Yanchun Lv, Jian Zhou, Chaofeng Liang, Yinsheng Chen, Dong Liang, Hairong Zheng. Multiregional Radiomics Profiling from Multiparametric MRI: Identifying an Imaging Predictor of IDH1 Mutation Status in Glioblastoma. Cancer Medicine. 2018.

Zhi-Cheng Li, Guangtao Zhai, Jinheng Zhang, Zhongqiu Wang, Guiqin Liu, Guangyu Wu, Dong Liang, Hairong Zheng. Differentiation of Clear Cell and Non-Clear Cell Renal Cell Carcinomas by All-Relevant Radiomics Features from Multiphase CT: A VHL Mutation Perspective. European Radiology. 2018.

Ge, Yongshuai; Zhang, Qiyang; Hu, Zhanli; Chen, Jianwei; Shi, Wei; Zheng, Hairong; Liang, Dong，“Deconvolution-Based Backproject-Filter (BPF) Computed Tomography Image Reconstruction Method Using Deep Learning Technique”.eprint arXiv:1807.01833,2018

Yanjie Zhu, Yuanyuan Liu ,Leslie Ying, Xi Peng, Yi-Xiang J Wang, Xin Liu, Dong Liang, SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping, Physics in Medicine & Biology, 2018.https://doi.org/10.1088/1361-6560/aadb09

Yuhong Peng(#), Chao Zou(#), Yangzi Qiao, Changjun Tie, Qian Wan, Rui Jiang, Chuanli Cheng, Dong Liang, Faqi Li(*), Xin Liu(*), Hairong Zheng. Fast MR thermometry using an echo-shifted sequence with simultaneous multi-slice imaging. Magnetic Resonance Materials in Physics, Biology and Medicine. DOI: 10.1007/s10334-018-0692-x

Cheng Chuanli(#), Zou Chao(#), Wan Qian, Qiao Yangzi, Pan Min, Tie Changjun, Liang Dong, Zheng Hairong(*), and Liu Xin. Dual-step iterative temperature estimation method for accurate and precise fat-referenced PRFS temperature imaging. Magnetic Resonance in Medicine DOI: 10.1002/mrm.27396

Yangzi Qiao(#), Chao Zou(#), Chuanli Cheng, Qian Wan, Changjun Tie, Dong Liang, Hairong Zheng, Xin Liu(*), Yiu-Cho Chung. Diffusion Effect on T2 relaxometry in trip-echo steady state free precession sequence. Journal of Magnetic Resonance, 2018, 292: 25-35.

Qiaoyan Chen, Guoxi Xie, Chao Luo, Xing Yang, Jin Zhu, Jo Lee, Shi Su, Dong Liang, Xiaoliang Zhang, Xin Liu, Ye Li, Hairong Zheng, A dedicated 36-channel recieve array for fetal MRI at 3T, IEEE Trans. Medical Imaging, 37：2290-2297, 2018.

Congbo Cai; Chao Wang; Yiqing Zeng; Shuhui Cai; Dong Liang; YawenWu; Zhong Chen ; Xinghao Ding; Jianhui Zhong, Single-Shot T2 Mapping using OverLapping-Echo Detachment Planar Imaging and a Deep convolutional Neural Network, Magnetic Resonance in Medicine, 80:2201-2214, 2018

Biao Xiong, Qiegen Liu, Member, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang, Field-of-Experts Filters Guided Tensor Completion, IEEE Trans. Multimedia. 20:2316-2329, 2018

Dr. Dong Liang was invited to join the Editorial Board of Magnetic Resonance in Medicine (2018-2020)

Jing Cheng, Sen Jia, Leslie Ying, Yuanyuan Liu, Shanshan Wang, Yanjie Zhu, Ye Li, Chao Zou, Xin Liu, Dong Liang, Improved Parallel Image Reconstruction via Feature Refinement, Magnetic Resonance in Medicine, 2017, DOI:10.1002/mrm.27024

Dr. Yanjie Zhu received a four-year grant of general program from the National Natural Science Foundation of China. Congratulations!

Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang and Shuo Li, Motion Tracking of the Carotid Artery Wall from Ultrasound Image Sequences: a Nonlinear State-space Approach, IEEE Trans. Medical Imaging, 37(1):273-283,2018

Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, and Dong Liang, Learning joint-sparse codes for calibration-free parallel MR imaging (LINDBERG), IEEE Trans. Medical Imaging, 37(1):251-261, 2018

Zhanli Hu, Juan Gao, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, An improved statistic aliterative algorithm for sparse-view and limited-angle CT image reconstruction, Scientific Report, Article number: 10747, 2017

Hui Liu, Yuanjie Zheng, Dong Liang, Pinpin Tang, Fuquan Ren, Lina Zhang, Weizuo Zhao, Total variation based DCE-MRI decomposition by separating lesion from background for time-intensity curve estimation, Medical Physics, 44(6):2321-2331,2017.

Ukash Nakanmi, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying, A kernel-based low-rank(KLR) model for low-dimensional manifold recovery in highly accelerated dynamic MRI, IEEE Trans. Medical Imaging, 36(11):2297-2307, 2017

Our paper ‘Iterative feature refinement for accurate undersampled MR image reconstruction’ has been selected for inclusion in the Physics in Medicine & Biology Highlights of 2016, http://iopscience.iop.org/journal/0031-9155/page/Highlights_of_2016

Qiegen Liu, Shanshan Wang, Dong Liang*, Sparse and Dense Hybrid Representation via Subspace Modeling for Dynamic MRI, Computerized Medical Imaging and Graphics, 56:24-37, 2017)

...