FlowMRI-Net: A generalizable self-supervised 4D flow MRI reconstruction network

FlowMRI-Net: A generalizable self-supervised 4D flow MRI reconstruction network

ABSTRACT: Background: Image reconstruction from highly undersampled four-dimensional (4D) flow magnetic resonance imaging (MRI) data can be very time-consuming and may result in significant underestimation of velocities depending on regularization, thereby limiting the applicability of the method....

Full description

Saved in:
Bibliographic Details
Main Authors: Luuk Jacobs, Marco Piccirelli, Valery Vishnevskiy, Sebastian Kozerke
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
4D flow MRI
Aorta
Cerebrovasculature
Deep learning
Reconstruction
Online Access:http://www.sciencedirect.com/science/article/pii/S1097664725000754
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items