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Real-time 3D MRI reconstruction from cine-MRI using unsupervised network in MRI-guided radiotherapy for liver cancer.

Medical Physics (Lancaster), 2022
PURPOSE Respiration has a major impact on the accuracy of radiation treatment for thorax and abdominal tumours. Instantaneous volumetric imaging could provide precise knowledge of tumour and normal organs' three-dimensional (3D) movement, which is the ...
Ran Wei   +5 more
semanticscholar   +1 more source

Feasibility of Real-time Motion Tracking Using Cine MRI During MR-Guided Radiation Therapy for Abdominal Targets.

Medical Physics (Lancaster), 2020
PURPOSE Real-time high-soft tissue contrast MRI from the MR-Linac offers the best opportunity for accurate motion tracking during radiation therapy delivery via high-frequency 2D cine imaging. This work investigates the efficacy of real-time organ motion
T. Keiper   +9 more
semanticscholar   +1 more source

Fiducial marker based intra-fraction motion assessment on cine-MR for MR-linac treatment of prostate cancer

Physics in Medicine and Biology, 2019
We have developed a method to determine intrafraction motion of the prostate through automatic fiducial marker (FM) tracking on 3D cine-magnetic resonance (MR) images with high spatial and temporal resolution.
D. M. de Muinck Keizer   +7 more
semanticscholar   +1 more source

Soft-tissue prostate intrafraction motion tracking in 3D cine-MR for MR-guided radiotherapy

Physics in Medicine and Biology, 2019
To develop a method to automatically determine intrafraction motion of the prostate based on soft tissue contrast on 3D cine-magnetic resonance (MR) images with high spatial and temporal resolution.
D. M. de Muinck Keizer   +8 more
semanticscholar   +1 more source

Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network.

Radiology, 2023
Siyeop Yoon   +13 more
semanticscholar   +1 more source

Cine-MR Image Segmentation for Assessment of Small Bowel Motility Function Using 3D U-Net

Journal of Image and Graphics, 2019
—In this study, we propose an automated method for assessing small bowel motility function with cine MRI using 3D U-Net, which is a kind of deep fully convolutional neural networks for 3D semantic segmentation. In the proposed method, the cine MR images (
K. Otsuki   +4 more
semanticscholar   +1 more source

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