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Abstract #0159

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

1Philips Research, London, United Kingdom; 2King's College London, London, United Kingdom; 3Philips Research, Hamburg, Germany; 4Philips Healthcare, Guildford, United Kingdom

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.