Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation

Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation

Purpose: To apply a free-running three-dimensional (3D) cine balanced steady state free precession (bSSFP) cardiovascular magnetic resonance (CMR) framework in combination with artificial intelligence (AI) segmentations to quantify time-resolved aortic displacement, diameter and diameter change. Met...

Full description

Saved in:
Bibliographic Details
Main Authors: Renske Merton, Daan Bosshardt, Gustav J. Strijkers, Aart J. Nederveen, Eric M. Schrauben, Pim van Ooij
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Aortic motion
3D displacement
3D cine bSSFP
Automated aortic segmentations
Online Access:http://www.sciencedirect.com/science/article/pii/S1097664724011165
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1097664724011165

Similar Items