Fully automated on-scanner aortic four-dimensional flow magnetic resonance imaging processing and hemodynamic analysis.

ABSTRACT:

Background

Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) is a valuable technique for evaluating cardiovascular hemodynamics, but it requires cumbersome, offline preprocessing and regional segmentation prior to quantifications or visualizations.

Methods

The Framework for Image Reconstruction (FIRE) framework was used to integrate 4D flow processing tasks directly into the scanner reconstruction pipeline. The method builds containerized applications with standardized raw and image CMR data input/output in the open-source Magnetic Resonance Data format. In this study, deep learning models and algorithms from previous work (4D flow pre-processing, three-dimensional [3D] aorta segmentation, aorta velocity maps, quantification of aortic systolic peak velocitie

SUBMITTER: Baraboo J 

PROVIDER: S-EPMC12766604 | biostudies-literature | 2025 Winter

REPOSITORIES: biostudies-literature