Wang, Yu-JenYu-JenWangYao, Jia-ShengJia-ShengYaoFEI-PEI LAICHIA-HSIEN CHENG2021-08-022021-08-022021-032234-943Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/575453Beam angle optimization is a critical issue for modern radiotherapy (RT) and is a challenging task, especially for large body sizes and noncoplanar designs. Noncoplanar RT techniques may have dosimetric advantages but increase the risk of mechanical collision. We propose a software solution to accurately predict colliding/noncolliding configurations for coplanar and noncoplanar beams.enbeam angle; collision; noncoplanar; radiotherapy; software[SDGs]SDG3accuracy; algorithm; Article; artificial intelligence; body contouring; breast cancer; cancer radiotherapy; clinical article; computer assisted tomography; computer model; dosimetry; external beam radiotherapy; female; geometry; human; image reconstruction; image segmentation; patient safety; prediction; sensitivity and specificity; simulation; validation process; validityjournal article10.3389/fonc.2021.617007337777562-s2.0-85103031874https://api.elsevier.com/content/abstract/scopus_id/85103031874