Fully Automated Valve Segmentation for Blood Flow Assessment From 4D Flow MRI Including Automated Cardiac Valve Tracking and Transvalvular Velocity Mapping.

ABSTRACT:

Background

Automated 4D flow MRI valvular flow quantification without time-consuming manual segmentation might improve workflow.

Purpose

Compare automated valve segmentation (AS) to manual (MS), and manually corrected automated segmentation (AMS), in corrected atrioventricular septum defect (c-AVSD) patients and healthy volunteers, for assessing net forward volume (NFV) and regurgitation fraction (RF).

Study type

Retrospective.

Population

27 c-AVSD patients (median, 23 years; interquartile range, 16-31 years) and 24 healthy volunteers (25 years; 12.5-36.5 years).

Field strength/sequence

Whole-heart 4D flow MRI and cine steady-state free precession at 3T.

Assessment

After automatic valve tracking, valve annuli were segmented on time-resolved reform

SUBMITTER: In de Braekt T 

PROVIDER: S-EPMC11645491 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature