A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration

. This study aimed to develop a novel method for generating synthetic CT (sCT) from cone-beam CT (CBCT) of the abdomen/pelvis with bowel gas pockets to facilitate estimation of proton ranges. . CBCT, the same-day repeat CT, and the planning CT (pCT) of 81 pediatric patients were used for training (...

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Vydané v:	Physics in medicine & biology Ročník 68; číslo 16
Hlavní autori:	Uh, Jinsoo, Wang, Chuang, Jordan, Jacob A, Pirlepesov, Fakhriddin, Becksfort, Jared B, Ates, Ozgur, Krasin, Matthew J, Hua, Chia-Ho
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 31.07.2023
Predmet:	Carmustine Child Cone-Beam Computed Tomography - methods Deep Learning Humans Image Processing, Computer-Assisted - methods Protons Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Spiral Cone-Beam Computed Tomography deep learning synthetic CT proton therapy adaptive replanning deformable image registration CBCT CycleGAN
ISSN:	1361-6560, 1361-6560
On-line prístup:	Zistit podrobnosti o prístupe
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