MRI-only radiotherapy planning for nasopharyngeal carcinoma using deep learning
X Ma, X Chen, J Li, Y Wang, K Men, J Dai - Frontiers in oncology, 2021 - frontiersin.org
Background Radical radiotherapy is the main treatment modality for early and locally
advanced nasopharyngeal carcinoma (NPC). Magnetic resonance imaging (MRI) has the …
advanced nasopharyngeal carcinoma (NPC). Magnetic resonance imaging (MRI) has the …
Frequency-supervised mr-to-ct image synthesis
This paper strives to generate a synthetic computed tomography (CT) image from a
magnetic resonance (MR) image. The synthetic CT image is valuable for radiotherapy …
magnetic resonance (MR) image. The synthetic CT image is valuable for radiotherapy …
Pretreatment prediction of adaptive radiation therapy eligibility using MRI-based radiomics for advanced nasopharyngeal carcinoma patients
T Yu, S Lam, L To, K Tse, N Cheng, Y Fan, C Lo… - Frontiers in …, 2019 - frontiersin.org
Background and purpose: Adaptive radiotherapy (ART) can compensate for the dosimetric
impacts induced by anatomic and geometric variations in patients with nasopharyngeal …
impacts induced by anatomic and geometric variations in patients with nasopharyngeal …
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Purpose While MR‐only treatment planning using synthetic CTs (synCTs) offers potential for
streamlining clinical workflow, a need exists for an efficient and automated synCT …
streamlining clinical workflow, a need exists for an efficient and automated synCT …
Generating high-resolution synthetic CT from lung MRI with ultrashort echo times: initial evaluation in cystic fibrosis
A Longuefosse, J Raoult, I Benlala… - Radiology, 2023 - pubs.rsna.org
Background Lung MRI with ultrashort echo times (UTEs) enables high-resolution and
radiation-free morphologic imaging; however, its image quality is still lower than that of CT …
radiation-free morphologic imaging; however, its image quality is still lower than that of CT …
MR image reconstruction from undersampled data for image-guided radiation therapy using a patient-specific deep manifold image prior
Introduction Recent advancements in radiotherapy (RT) have allowed for the integration of a
Magnetic Resonance (MR) imaging scanner with a medical linear accelerator to use MR …
Magnetic Resonance (MR) imaging scanner with a medical linear accelerator to use MR …
[HTML][HTML] Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR) …
Background Precise patient setup is critical in radiation therapy. Medical imaging plays an
essential role in patient setup. As compared to computed tomography (CT) images …
essential role in patient setup. As compared to computed tomography (CT) images …
Cross-task feedback fusion gan for joint mr-ct synthesis and segmentation of target and organs-at-risk
The synthesis of computed tomography (CT) images from magnetic resonance imaging
(MR) images and segmentation of target and organs-at-risk (OARs) are two important tasks …
(MR) images and segmentation of target and organs-at-risk (OARs) are two important tasks …
CT Synthesis from MRI Using Generative Adversarial Network with Frequency-Aware Discriminator
Y Li, S Xu, Z Qi - Journal of Electrical Engineering & Technology, 2024 - Springer
The pursuit of generating computed tomography (CT) from magnetic resonance imaging
(MRI) remains a key area of research with the goal of advancing modern radiation therapy …
(MRI) remains a key area of research with the goal of advancing modern radiation therapy …
SARU: a self‐attention ResUNet to generate synthetic CT images for MR‐only BNCT treatment planning
Purpose Despite the significant physical differences between magnetic resonance imaging
(MRI) and computed tomography (CT), the high entropy of MRI data indicates the existence …
(MRI) and computed tomography (CT), the high entropy of MRI data indicates the existence …