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 …
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 …
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 …
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 …
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 …
Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma
S Yuan, X Chen, Y Liu, J Zhu, K Men, J Dai - Radiation Oncology, 2023 - Springer
Background Although magnetic resonance imaging (MRI)-to-computed tomography (CT)
synthesis studies based on deep learning have significantly progressed, the similarity …
synthesis studies based on deep learning have significantly progressed, the similarity …
[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) …
Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network
AM Dinkla, MC Florkow, M Maspero… - Medical …, 2019 - Wiley Online Library
Purpose To develop and evaluate a patch‐based convolutional neural network (CNN) to
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
[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 …
Head-and-Neck MRI-only radiotherapy treatment planning: From acquisition in treatment position to pseudo-CT generation
Purpose In context of head-and-neck radiotherapy, this study aims to compare MR image
quality according to diagnostic (DIAG) and radiotherapy (RT) setups; and to optimise an MRI …
quality according to diagnostic (DIAG) and radiotherapy (RT) setups; and to optimise an MRI …