Multi‐parametric MRI for radiotherapy simulation
T Li, J Wang, Y Yang, CK Glide‐Hurst, N Wen… - Medical …, 2023 - Wiley Online Library
Magnetic resonance imaging (MRI) has become an important imaging modality in the field of
radiotherapy (RT) in the past decade, especially with the development of various novel MRI …
radiotherapy (RT) in the past decade, especially with the development of various novel MRI …
Deep learning in MRI‐guided radiation therapy: A systematic review
Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …
Movienet: Deep space–time‐coil reconstruction network without k‐space data consistency for fast motion‐resolved 4D MRI
Purpose To develop a novel deep learning approach for 4D‐MRI reconstruction, named
Movienet, which exploits space–time‐coil correlations and motion preservation instead of k …
Movienet, which exploits space–time‐coil correlations and motion preservation instead of k …
Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI‐Linac system
Background MRI has a rapidly growing role in radiation therapy (RT) for treatment planning,
real‐time image guidance, and beam gating (eg, MRI‐Linac). Free‐breathing 4D‐MRI is …
real‐time image guidance, and beam gating (eg, MRI‐Linac). Free‐breathing 4D‐MRI is …
Respiratory-correlated 4-dimensional magnetic resonance fingerprinting for liver cancer radiation therapy motion management
Purpose The objective of this study was to develop a respiratory-correlated (RC) 4-
dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF)(RC …
dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF)(RC …
Stop moving: MR motion correction as an opportunity for artificial intelligence
Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can
seriously deteriorate the image quality. Various prospective and retrospective methods have …
seriously deteriorate the image quality. Various prospective and retrospective methods have …
CT respiratory motion synthesis using joint supervised and adversarial learning
YH Cao, V Bourbonne, F Lucia, U Schick… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. Four-dimensional computed tomography (4DCT) imaging consists in
reconstructing a CT acquisition into multiple phases to track internal organ and tumor …
reconstructing a CT acquisition into multiple phases to track internal organ and tumor …
Coarse–Super-Resolution–Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution
Four-dimensional magnetic resonance imaging (4D-MRI) is an emerging technique for
tumor motion management in image-guided radiation therapy (IGRT). However, current 4D …
tumor motion management in image-guided radiation therapy (IGRT). However, current 4D …
3D cine-magnetic resonance imaging using spatial and temporal implicit neural representation learning (STINR-MR)
HC Shao, T Mengke, J Deng… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. 3D cine-magnetic resonance imaging (cine-MRI) can capture images of the
human body volume with high spatial and temporal resolutions to study anatomical …
human body volume with high spatial and temporal resolutions to study anatomical …
[HTML][HTML] A systematic review of 4D magnetic resonance imaging techniques for abdominal radiotherapy treatment planning
L Aljaafari, D Bird, DL Buckley, B Al-Qaisieh… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose Four-dimensional magnetic resonance imaging (4DMRI) has
gained interest as an alternative to the current standard for motion management four …
gained interest as an alternative to the current standard for motion management four …