166 citations · 304 across the 6 of their papers we have counts for
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Deep Reinforcement Learning for Beam Angle Optimization of Intensity-Modulated Radiation Therapy
Peng Bao, Gong Wang, Ruijie Yang +1
Objective: Intensity-modulated radiation therapy (IMRT) beam angle optimization (BAO) is a challenging combinatorial optimization problem that is NP-hard. In this study, we aim to…
Distortion-Corrected Image Reconstruction with Deep Learning on an MRI-Linac
Shanshan Shan, Yang Gao, Paul Z. Y. Liu +5
Magnetic resonance imaging (MRI) is increasingly utilized for image-guided radiotherapy due to its outstanding soft-tissue contrast and lack of ionizing radiation. However, geometr…
A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy
Xuejun Gu, Bin Dong, Jing Wang +4
In adaptive radiotherapy, deformable image registration is often conducted between the planning CT and treatment CT (or cone beam CT) to generate a deformation vector field (DVF) f…
Optimal Surface Marker Locations for Tumor Motion Estimation in Lung Cancer Radiotherapy
Bin Dong, Yan Jiang Graves, Xun Jia +1
Using fiducial markers on patient's body surface to predict the tumor location is a widely used approach in lung cancer radiotherapy. The purpose of this work is to propose an algo…
GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means
Zhen Tian, Xun Jia, Steve B. Jiang
Four-dimensional computed tomography (4DCT) has been widely used in cancer radiotherapy for accurate target delineation and motion measurement for tumors in thorax and upper abdome…
GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization
Xun Jia, Bin Dong, Yifei Lou +1
X-ray imaging dose from serial cone-beam CT (CBCT) scans raises a clinical concern in most image guided radiation therapy procedures. It is the goal of this paper to develop a fast…