Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium.

ABSTRACT:

Background

Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising accuracy or reliability. Rather than deploying a fully automatic black-box, we propose to incorporate the automated LA volumetry into a human-centric interactive image-analysis process.

Methods and results

Atri-U, an automated data analysis pipeline for long-axis cardiac cine images, computes the atrial volume by: (i) detecting the end-systolic frame, (ii) outlining the endocardial borders of the LA, (iii) localizing the mitral annular hinge points and constructing the longitudinal atrial diameters, equivalent to the usual workup don

SUBMITTER: Anastasopoulos C 

PROVIDER: S-EPMC8582149 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature