Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive Radiotherapy
Background Quick, low contrast resolution magnetic resonance imaging (MRI) scans are
typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head …
typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head …
Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
KA Wahid, J Xu, D El-Habashy, Y Khamis… - Frontiers in …, 2022 - frontiersin.org
Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
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 …
Patient-Specific Self-Supervised Resolution-Enhancing Network for High-Resolution MR Imaging in MRI-Guided Radiotherapy
Purpose/Objective (s) The application of MRI significantly improves the accuracy and
reliability of target delineation for many disease sites in radiotherapy (RT) due to its superior …
reliability of target delineation for many disease sites in radiotherapy (RT) due to its superior …
A feature invariant generative adversarial network for head and neck MRI/CT image synthesis
With the emergence of online MRI radiotherapy treatments, MR-based workflows have
increased in importance in the clinical workflow. However proper dose planning still requires …
increased in importance in the clinical workflow. However proper dose planning still requires …
Quantifying the Dosimetric Impact of Tissue Hounsfield Unit Assignment in Deep Learning-based Synthetic CT Images For MRI-Only Radiation Therapy of The Head …
K Singhrao, CL Dugan, C Calvin, L Pelayo… - International Journal of …, 2023 - redjournal.org
Purpose/Objective (s) MRI-only simulation for head and neck (HN) radiotherapy (RT) could
allow for single-image modality planning with excellent soft tissue contrast. In the MRI-only …
allow for single-image modality planning with excellent soft tissue contrast. In the MRI-only …
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 …
[HTML][HTML] Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula
JN Freedman, OJ Gurney-Champion, S Nill… - Radiotherapy and …, 2021 - Elsevier
Background and Purpose 4D and midposition MRI could inform plan adaptation in lung and
abdominal MR-guided radiotherapy. We present deep learning-based solutions to …
abdominal MR-guided radiotherapy. We present deep learning-based solutions to …
[HTML][HTML] Synthetic computed tomography for low-field magnetic resonance-only radiotherapy in head-and-neck cancer using residual vision transformers
Background and purpose Synthetic computed tomography (sCT) scans are necessary for
dose calculation in magnetic resonance (MR)-only radiotherapy. While deep learning (DL) …
dose calculation in magnetic resonance (MR)-only radiotherapy. While deep learning (DL) …
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 …