Automated Area at Risk Detection Using Myocardial T1 Maps Acquired Pre- And Post Contrast Agent Administration

Tobias Voigt¹, Zhong Chen², Christian Buerger, ²³, Valentina Puntmann², Reza Razavi², Tobias Schaeffter², Andrea J. Wiethoff, ²⁴

This study presents a new method for automated segmentation of blood pool, infarct area, healthy myocardium and grey zone. A clustering algorithm was implemented based on two quantitative T1 maps acquired before and after contrast agent administration. First in vivo results obtained in patients with known ischemic cardiomyopathy (ICM) are shown and compared to late enhancement images where good agreement was observed.