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Elmahdy, Mohamed S. (author), Jagt, Thyrza (author), Zinkstok, Roel Th. (author), Qiao, Yuchuan (author), Shahzad, Rahil (author), Sokooti, Hessam (author), Yousefi, Sahar (author), Incrocci, Luca (author), Marijnen, C.A.M. (author), Hoogeman, Mischa (author), Staring, M. (author)
Purpose: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning. Methods: A three-dimensional (3D) Convolutional Neural Network was trained for automatic bladder segmentation...
journal article 2019
document
Qiao, Yuchuan (author), Jagt, Thyrza (author), Hoogeman, M.S. (author), Lelieveldt, B.P.F. (author), Staring, M. (author)
Objective: Our goal was to investigate the performance of an open source deformable image registration package, elastix, for fast and robust contour propagation in the context of online-adaptive intensity-modulated proton therapy (IMPT) for prostate cancer. Methods: A planning and 7–10 repeat CT scans were available of 18 prostate cancer...
journal article 2019