MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks
Purpose Automated synthetic computed tomography (sCT) generation based on magnetic
resonance imaging (MRI) images would allow for MRI‐only based treatment planning in …
resonance imaging (MRI) images would allow for MRI‐only based treatment planning in …
T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks
D Kawahara, Y Nagata - reports of practical Oncology and …, 2021 - journals.viamedica.pl
Background: The objective of this study was to propose an optimal input image quality for a
conditional generative adversarial network (GAN) in T1-weighted and T2-weighted magnetic …
conditional generative adversarial network (GAN) in T1-weighted and T2-weighted magnetic …
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 …
Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation
X Zhou, W Cai, J Cai, F Xiao, M Qi, J Liu, L Zhou… - Computers in Biology …, 2023 - Elsevier
Synthesizing computed tomography (CT) images from magnetic resonance imaging (MRI)
data can provide the necessary electron density information for accurate dose calculation in …
data can provide the necessary electron density information for accurate dose calculation in …
Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5 T MR-Linear-accelerator (MR-Linac) …
Purpose In order to improve segmentation accuracy in head and neck cancer (HNC)
radiotherapy treatment planning for the 1.5 T MR-Linac, 3D fat-suppressed T2-weighted MRI …
radiotherapy treatment planning for the 1.5 T MR-Linac, 3D fat-suppressed T2-weighted MRI …
Multisequence MR‐generated sCT is promising for HNC MR‐only RT: A comprehensive evaluation of previously developed sCT generation networks
M Qi, Y Li, A Wu, X Lu, L Zhou, T Song - Medical Physics, 2022 - Wiley Online Library
Purpose To verify the feasibility of our in‐house developed multisequence magnetic
resonance (MR)‐generated synthetic computed tomography (sCT) for accurate dose …
resonance (MR)‐generated synthetic computed tomography (sCT) for accurate dose …
[PDF][PDF] MR-to-CT synthesis using cycle-consistent generative adversarial networks
JM Wolterink, AM Dinkla, MH Savenije… - Proc. Neural Inf …, 2017 - doc.ic.ac.uk
Radiotherapy treatment planning requires a magnetic resonance (MR) volume for
segmentation of tumors and organs at risk, and a spatially corresponding computed …
segmentation of tumors and organs at risk, and a spatially corresponding computed …
GAN for synthesizing CT from T2-weighted MRI data towards MR-guided radiation treatment
Objective In medical domain, cross-modality image synthesis suffers from multiple issues,
such as context-misalignment, image distortion, image blurriness, and loss of details. The …
such as context-misalignment, image distortion, image blurriness, and loss of details. The …
A deep generative prior for high-resolution isotropic MR head slices
Generative priors for magnetic resonance (MR) images have been used in a number of
medical image analysis applications. Due to the plethora of deep learning methods based …
medical image analysis applications. Due to the plethora of deep learning methods based …
[HTML][HTML] Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning
Abstract Background and Purpose: Addressing the need for accurate dose calculation in
MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI …
MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI …