Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN
B Zhao, T Cheng, X Zhang, J Wang, H Zhu… - … medical imaging and …, 2023 - Elsevier
Magnetic resonance (MR) image-guided radiation therapy is a hot topic in current radiation
therapy research, which relies on MR to generate synthetic computed tomography (SCT) …
therapy research, which relies on MR to generate synthetic computed tomography (SCT) …
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 …
A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases
Purpose Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided
Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this …
Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this …
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 …
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 …
[HTML][HTML] Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma …
Background and purpose To investigate the feasibility of synthesizing computed tomography
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy
Purpose Absorbed dose calculation in magnetic resonance-guided radiation therapy
(MRgRT) is commonly based on pseudo CT (pCT) images. This study investigated the …
(MRgRT) is commonly based on pseudo CT (pCT) images. This study investigated the …
A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases
Introduction This study aims to apply a conditional Generative Adversarial Network (cGAN)
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance …
Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning
Purpose Deep learning methods (DLMs) have recently been proposed to generate pseudo-
CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to …
CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to …