Mitigating misalignment in MRI-to-CT synthesis for improved synthetic CT generation: an iterative refinement and knowledge distillation approach
L Zhou, X Ni, Y Kong, H Zeng, M Xu… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. Deep learning has shown promise in generating synthetic CT (sCT) from
magnetic resonance imaging (MRI). However, the misalignment between MRIs and CTs has …
magnetic resonance imaging (MRI). However, the misalignment between MRIs and CTs has …
CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy
Y Liu, A Chen, H Shi, S Huang, W Zheng, Z Liu… - … medical imaging and …, 2021 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) guided Radiation Therapy is a hot topic in the
current studies of radiotherapy planning, which requires using MRI to generate synthetic …
current studies of radiotherapy planning, which requires using MRI to generate synthetic …
Unpaired MR to CT synthesis with explicit structural constrained adversarial learning
In medical imaging such as PET-MR attenuation correction and MRI-guided radiation
therapy, synthesizing CT images from MR plays an important role in obtaining tissue density …
therapy, synthesizing CT images from MR plays an important role in obtaining tissue density …
Compensation cycle consistent generative adversarial networks (Comp‐GAN) for synthetic CT generation from MR scans with truncated anatomy
Background MR scans used in radiotherapy can be partially truncated due to the limited field
of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment …
of view (FOV), affecting dose calculation accuracy in MR‐based radiation treatment …
Hybrid generative adversarial networks for deep MR to CT synthesis using unpaired data
Many different methods have been proposed for generation of synthetic CT from MR images.
Most of these methods depend on pairwise aligned MR and CT training images of the same …
Most of these methods depend on pairwise aligned MR and CT training images of the same …
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy
X Chen, Y Zhao, LE Court, H Wang, T Pan… - … Medical Imaging and …, 2024 - Elsevier
Creating synthetic CT (sCT) from magnetic resonance (MR) images enables MR-based
treatment planning in radiation therapy. However, the MR images used for MR-guided …
treatment planning in radiation therapy. However, the MR images used for MR-guided …
Attention-guided generative adversarial network to address atypical anatomy in synthetic CT generation
Recently, interest in MR-only treatment planning using synthetic CTs (synCTs) has grown
rapidly in radiation therapy. However, developing class solutions for medical images that …
rapidly in radiation therapy. However, developing class solutions for medical images that …
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 …
[HTML][HTML] Deep CT to MR synthesis using paired and unpaired data
Magnetic resonance (MR) imaging plays a highly important role in radiotherapy treatment
planning for the segmentation of tumor volumes and organs. However, the use of MR is …
planning for the segmentation of tumor volumes and organs. However, the use of MR is …
Deep MR to CT synthesis using unpaired data
JM Wolterink, AM Dinkla, MHF Savenije… - … and Synthesis in …, 2017 - Springer
MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis. Current
deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT …
deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT …