MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method
Magnetic resonance imaging (MRI) has been widely used in combination with computed
tomography (CT) radiation therapy because MRI improves the accuracy and reliability of …
tomography (CT) radiation therapy because MRI improves the accuracy and reliability of …
Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning
The purpose of this work is to validate the application of a deep learning-based method for
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …
pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy …
Generation of abdominal synthetic CTs from 0.35 T MR images using generative adversarial networks for MR-only liver radiotherapy
Electron density maps must be accurately estimated to achieve valid dose calculation in MR-
only radiotherapy. The goal of this study is to assess whether two deep learning models, the …
only radiotherapy. The goal of this study is to assess whether two deep learning models, the …
Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN
MRI-only treatment planning is highly desirable in the current proton radiation therapy
workflow due to its appealing advantages such as bypassing MR-CT co-registration …
workflow due to its appealing advantages such as bypassing MR-CT co-registration …
MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method
Objective: The purpose of this work is to develop and validate a learning-based method to
derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment …
derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment …
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
M Maspero, MHF Savenije, AM Dinkla… - Physics in Medicine …, 2018 - iopscience.iop.org
To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation
attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the …
attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the …
CBCT-based synthetic MRI generation for CBCT-guided adaptive radiotherapy
Cone-beam computed tomography (CBCT) has been widely used in image-guided radiation
therapy for patient setup to improve treatment performance. However, the low soft tissue …
therapy for patient setup to improve treatment performance. However, the low soft tissue …
Dosimetric evaluation of synthetic CT generated with GANs for MRI‐only proton therapy treatment planning of brain tumors
S Kazemifar, AM Barragán Montero… - Journal of applied …, 2020 - Wiley Online Library
Purpose The purpose of this study was to address the dosimetric accuracy of synthetic
computed tomography (sCT) images of patients with brain tumor generated using a modified …
computed tomography (sCT) images of patients with brain tumor generated using a modified …
Deep convolution neural network (DCNN) multiplane approach to synthetic CT generation from MR images—application in brain proton therapy
Purpose The first aim of this work is to present a novel deep convolution neural network
(DCNN) multiplane approach and compare it to single-plane prediction of synthetic …
(DCNN) multiplane approach and compare it to single-plane prediction of synthetic …
Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data
Purpose MR‐to‐CT synthesis is one of the first steps in the establishment of an MRI‐only
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …