Cycle-consistent Generative Adversarial Network Synthetic CT for MR-only Adaptive Radiation Therapy on MR-Linac
Purpose: This study assesses the effectiveness of Deep Learning (DL) for creating synthetic
CT (sCT) images in MR-guided adaptive radiation therapy (MRgART). Methods: A Cycle …
CT (sCT) images in MR-guided adaptive radiation therapy (MRgART). Methods: A Cycle …
Deep Learning-Based Synthetic CT Generation for MR-Only Adaptive Radiation Therapy on MR-Linacs
Purpose/Objective (s) In existing MR-guided on-table adaptive radiation therapy (MRgRT)
workflows, electron density of the target and organs-at-risk are obtained by deforming a …
workflows, electron density of the target and organs-at-risk are obtained by deforming a …
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 …
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 …
[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 …
[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 …
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 CT generation for MRI-guided adaptive radiotherapy in prostate cancer
Current MRI-guided adaptive radiotherapy (MRgART) workflows require fraction-specific
electron and/or mass density maps, which are created by deformable image registration …
electron and/or mass density maps, which are created by deformable image registration …
Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
R Vajpayee, V Agrawal, G Krishnamurthi - Scientific Reports, 2022 - nature.com
The rapid progress in image-to-image translation methods using deep neural networks has
led to advancements in the generation of synthetic CT (sCT) in MR-only radiotherapy …
led to advancements in the generation of synthetic CT (sCT) in MR-only radiotherapy …
Synthetic CT generation from weakly paired MR images using cycle-consistent GAN for MR-guided radiotherapy
Although MR-guided radiotherapy (MRgRT) is advancing rapidly, generating accurate
synthetic CT (sCT) from MRI is still challenging. Previous approaches using deep neural …
synthetic CT (sCT) from MRI is still challenging. Previous approaches using deep neural …