Single energy CT-based mass density and relative stopping power estimation for proton therapy using deep learning method

Single energy CT-based mass density and relative stopping power estimation for proton therapy using deep learning method

BackgroundThe number of patients undergoing proton therapy has increased in recent years. Current treatment planning systems (TPS) calculate dose maps using three-dimensional (3D) maps of relative stopping power (RSP) and mass density. The patient-specific maps of RSP and mass density were obtained...

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Bibliographic Details
Main Authors: Yuan Gao, Chih-Wei Chang, Justin Roper, Marian Axente, Yang Lei, Shaoyan Pan, Jeffrey D. Bradley, Jun Zhou, Tian Liu, Xiaofeng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
deep learning
CT
relative stopping power
mass density
proton therapy
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1278180/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1278180/full

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