Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network
AM Dinkla, MC Florkow, M Maspero… - Medical …, 2019 - Wiley Online Library
Purpose To develop and evaluate a patch‐based convolutional neural network (CNN) to
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
[HTML][HTML] Synthetic computed tomography data allows for accurate absorbed dose calculations in a magnetic resonance imaging only workflow for head and neck …
E Palmér, A Karlsson, F Nordström, K Petruson… - Physics and imaging in …, 2021 - Elsevier
Background and purpose Few studies on magnetic resonance imaging (MRI) only head and
neck radiation treatment planning exist, and none using a generally available software. The …
neck radiation treatment planning exist, and none using a generally available software. The …
Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy
M Qi, Y Li, A Wu, Q Jia, B Li, W Sun, Z Dai, X Lu… - Medical …, 2020 - Wiley Online Library
Purpose The purpose of this study is to investigate the effect of different magnetic resonance
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
Synthetic CT generation based on T2 weighted MRI of nasopharyngeal carcinoma (NPC) using a deep convolutional neural network (DCNN)
Purpose: There is an emerging interest of applying magnetic resonance imaging (MRI) to
radiotherapy (RT) due to its superior soft tissue contrast for accurate target delineation as …
radiotherapy (RT) due to its superior soft tissue contrast for accurate target delineation as …
Patch‐based generative adversarial neural network models for head and neck MR‐only planning
P Klages, I Benslimane, S Riyahi, J Jiang… - Medical …, 2020 - Wiley Online Library
Purpose To evaluate pix2pix and CycleGAN and to assess the effects of multiple
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
combination strategies on accuracy for patch‐based synthetic computed tomography (sCT) …
MR-only brain radiation therapy: dosimetric evaluation of synthetic CTs generated by a dilated convolutional neural network
AM Dinkla, JM Wolterink, M Maspero… - International Journal of …, 2018 - Elsevier
Purpose This work aims to facilitate a fast magnetic resonance (MR)-only workflow for
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …
Assessment of CBCT–based synthetic CT generation accuracy for adaptive radiotherapy planning
CJ O'Hara, D Bird, B Al‐Qaisieh… - Journal of applied …, 2022 - Wiley Online Library
Abstract Purpose Cone‐beam CT (CBCT)–based synthetic CT (sCT) dose calculation has
the potential to make the adaptive radiotherapy (ART) pathway more efficient while …
the potential to make the adaptive radiotherapy (ART) pathway more efficient while …
Dosimetric evaluation of synthetic CT image generated using a neural network for MR‐only brain radiotherapy
B Tang, F Wu, Y Fu, X Wang, P Wang… - Journal of applied …, 2021 - Wiley Online Library
Purpose and background The magnetic resonance (MR)‐only radiotherapy workflow is
urged by the increasing use of MR image for the identification and delineation of tumors …
urged by the increasing use of MR image for the identification and delineation of tumors …
Cone beam CT (CBCT) based synthetic CT generation using deep learning methods for dose calculation of nasopharyngeal carcinoma radiotherapy
X Xue, Y Ding, J Shi, X Hao, X Li, D Li… - … in Cancer Research …, 2021 - journals.sagepub.com
Objective: To generate synthetic CT (sCT) images with high quality from CBCT and planning
CT (pCT) for dose calculation by using deep learning methods. Methods: 169 NPC patients …
CT (pCT) for dose calculation by using deep learning methods. Methods: 169 NPC patients …
Clinical validation of a commercially available deep learning software for synthetic CT generation for brain
M Lerner, J Medin, C Jamtheim Gustafsson, S Alkner… - Radiation …, 2021 - Springer
Background Most studies on synthetic computed tomography (sCT) generation for brain rely
on in-house developed methods. They often focus on performance rather than clinical …
on in-house developed methods. They often focus on performance rather than clinical …