Fully automated analysis of contrast agent-free T1-rho mapping for enhanced myocardial tissue characterization

Motivation: Contrast agent-free myocardial T1-rho (T1ρ) mapping has shown promise in myocardial injury quantification. However, the lack of analysis tools hinders its clinical use and induces increased workload and operator variability. Goal(s): To explore the feasibility and benefits of clinically-integrated artificial intelligence-driven analysis of myocardial T1ρ mapping. Approach: The automated process combines left ventricular wall segmentation, right ventricular insertion point detection and the creation of a 16-segment American Heart Association model for segmental T1ρ values analysis. Results: Automated T1ρ mapping showcased strong agreement with manual processing, enhanced with time efficiency. Impact: Artificial intelligence-driven analysis of myocardial T1-rho mapping exhibits strong agreement with manual processing, bolstered by time efficiency. This approach shows promise for the rapid and non-invasive assessment of heart disease without the need for contrast agents.