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ABSTRACT: Background
Myocardial T1-rho (T1ρ) mapping is a promising method for identifying and quantifying myocardial injuries without contrast agents, but its clinical use is hindered by the lack of dedicated analysis tools.Purpose
To explore the feasibility of clinically integrated artificial intelligence-driven analysis for efficient and automated myocardial T1ρ mapping.Study type
Retrospective.Population
Five hundred seventy-three patients divided into a training (N = 500) and a test set (N = 73) including ischemic and nonischemic cases.Field strength/sequence
Single-shot bSSFP T1ρ mapping sequence at 1.5 T.Assessment
The automated process included: left ventricular (LV) wall segmentation, right ventricular insertion point detection and creation of
SUBMITTER: de Villedon de Naide V
PROVIDER: S-EPMC11803686 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature