Beam Angle Optimization for Double-Scattering Proton Delivery Technique Using an Eclipse Application Programming Interface and Convolutional Neural Network

Beam Angle Optimization for Double-Scattering Proton Delivery Technique Using an Eclipse Application Programming Interface and Convolutional Neural Network

To automatically identify optimal beam angles for proton therapy configured with the double-scattering delivery technique, a beam angle optimization method based on a convolutional neural network (BAODS-Net) is proposed. Fifty liver plans were used for training in BAODS-Net. To generate a sequence o...

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Bibliographic Details
Main Authors: Wonjoong Cheon, Sang Hee Ahn, Seonghoon Jeong, Se Byeong Lee, Dongho Shin, Young Kyung Lim, Jong Hwi Jeong, Sang Hee Youn, Sung Uk Lee, Sung Ho Moon, Tae Hyun Kim, Haksoo Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
deep-learning
convolutional neural network
beam angle optimization
proton therapy
double-scattering technique
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.707464/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.707464/full

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