Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation

Purpose : Intra-fractional organs at risk (OARs) deformations can lead to dose variation during image-guided adaptive brachytherapy (IGABT). The aim of this study was to modify the final accepted brachytherapy treatment plan to dosimetrically compensate for these intra-fractional organs-applicators...

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Bibliographic Details
Main Authors: Ramin Jaberi, Zahra Siavashpour, Mahmoud Reza Aghamiri, Christian Kirisits, Reza Ghaderi
Format: Article
Language:English
Published: Termedia Publishing House 2017-12-01
Series:Journal of Contemporary Brachytherapy
Subjects:
ANN-based model
cervical cancer
IGABT
intra-fractional dose variations
Online Access:https://www.termedia.pl/Artificial-neural-network-based-gynaecological-image-guided-adaptive-brachytherapy-treatment-planning-correction-of-intra-fractional-organs-at-risk-dose-variation,54,31433,1,1.html

Internet

https://www.termedia.pl/Artificial-neural-network-based-gynaecological-image-guided-adaptive-brachytherapy-treatment-planning-correction-of-intra-fractional-organs-at-risk-dose-variation,54,31433,1,1.html

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