Real-Time Tumor Tracking During Radiotherapy

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Lei Y, Tian S, He X, Wang T, Wang B, Pretesh P, Jani A, Mao H, Curran W, Liu T and Yang X*. “Ultrasound Prostate Segmentation Based on Multi-Directional Deeply Supervised V-Net," Medical Physics, 46(6):3194-3206, 2019.

Zeng Q, Fu Y, Tian Z, Lei Y, Zhang Y, Wang T, Wang H, Mao H, Liu T, Curran W, Jani A, Patel P and Yang X*. “Label-Driven MRI-US Registration Using Weakly-Supervised Learning for MRI-guided Prostate Radiotherapy," Physics in Medicine and Biology, 65(13):135002, 2020.

Fu Y, Lei Y, Wang T, Patel P, Jani A, Mao H, Curran W, Liu T and Yang X*. "Biomechanically Constrained Non-rigid MR-TRUS Prostate Registration using Deep Learning based 3D Point Cloud Matching," Medical Image Analysis, 67,101845, 2021.

Fu Y, Wang T, Lei Y, Patel P, Jani A, Curran W, Liu T and Yang X*. “Deformable MR-CBCT Prostate Registration using Biomechanically Constrained Deep Learning Networks,” Medical Physics, 48(1):253-263, 2021.

Yang X*, Rossi P, Jani A, Mao H, Ogunleye T, Curran W and Liu T*. “A MR-TRUS Registration Method for Ultrasound-Guided Prostate Interventions.” Proc. of SPIE, 94151Y, 94151Y-9, 2015.

Lin Y, Liu T, Yang X, Wang W and Khan M. “Respiratory Induced Prostate Motion Using Wavelet Decomposition of the Real Time Electromagnetic Tracking Signal.” International Journal of Radiation Oncology • Biology • Physics (IJROBP), 87(2), 370-4, 2013.

Lin Y, Liu T, Wang W, Yang X and Khan M. “The Non-Gaussian Nature of Prostate Motion Based on Realtime Intra-fraction Tracking.” International Journal of Radiation Oncology • Biology • Physics (IJROBP), 87(2), 363-9, 2013.

Tumor Tracking for Liver SBRT

During liver irradiation, it is paramount to accurately reproduce the position assumed by the patient during the CT simulation used to prepare the treatment plan. Liver motion leads to smearing of the dose distribution, causing reduced sharpness of the intended dose conformality. Therefore, there is an urgent need for a reliable real-time tracking method to ensure that the escalated dose is delivered to the tumor region as planned and to potentially reduce the treated volume of liver and Gastrointestinal structures.

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Lei Y, Fu Y, Wang T, Liu Y, Higgins K, Curran W, Liu T and Yang X*. “4D-CT Deformable Image Registration Using Multiscale Unsupervised Deep Learning,” Physics in Medicine and Biology, 65(8), 085003, 2020.

Lei Y, Momin S, Roper J, Patel P, Curran WJ, Liu T and Yang X*. “Motion tracking in 3D ultrasound imaging based on Markov-like deep-learning-based deformable registration.” Proc. of SPIE, 11602:1160215, 2021.

Lei Y, Fu Y, Harms J, Wang T, Curran W, Liu T, Higgins K and Yang X*. 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network. In: Nguyen D., Xing L., Jiang S. (eds) Artificial Intelligence in Radiation Therapy. AIRT 2019. Lecture Notes in Computer Science, vol 11850. Springer, Cham.

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Fu Y, Lei Y, Wang T, Liu Y, Higgins K, Bradley J, Curran W, Liu T and Yang X*. “LungRegNet: An Unsupervised Deformable Image Registration Method for 4D-CT Lung,” Medical Physics, 2020. 47 (4):1763-1774, 2020. (Editor’s Choice)

Dong X, Lei Y, Wang T, Thomas M, Tang L, Curran W, Liu T and Yang X*. “Automatic Multi-Organ Segmentation in Thorax CT Images Using U-Net-GAN," Medical Physics, 46(5):2157-2168, 2019. (Editor’s Choice)