학술논문

A linear energy transfer distributions computation method for inhomogeneous medium by using the water equivalent ratio approximation.
Document Type
Academic Journal
Author
Yan N; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Wu C; Medical Equipment Innovation Research Center, West China School of Medicine, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu 610041, China.; Zhou Y; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liao W; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Liu J; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Pu Y; Medical Equipment Innovation Research Center, West China School of Medicine, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu 610041, China.
Source
Publisher: Oxford University Press Country of Publication: England NLM ID: 8109958 Publication Model: Print Cited Medium: Internet ISSN: 1742-3406 (Electronic) Linking ISSN: 01448420 NLM ISO Abbreviation: Radiat Prot Dosimetry Subsets: MEDLINE
Subject
Language
English
Abstract
Dose-averaged linear energy transfer (LET), LETd is widely used in proton therapy. Compared with analytical models, Monte Carlo (MC) simulations are more accurate in obtaining LETd distributions, but they are time-consuming. This study used the 3D LETd distributions of proton beam spots in water by MC simulations as a benchmark data set. Subsequently, by combining the water equivalent ratio of various human tissues, the 3D LETd distributions of clinical cases could be quickly obtained. Our method was applied to a single spot of 160 MeV proton beam in a water-bone phantom and a pelvic case. We also computed the 3D LETd distributions for multiple proton beam spots in the pelvic case and a lung case. The results of our method were compared with the results of MC simulations, demonstrating that our method can rapidly provide 3D LETd distributions of clinical cases with acceptable differences from MC simulations.
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