Relaxometric techniques, particularly T1 mapping, have gained clinical importance recently. T1 and ECV are usually calculated by manually drawing contours on the maps. This is laborious particularly for large volume studies. Here we present a fully automated framework (FASTR) for segmental analysis of T1 maps (both native and post-contrast) and partition-coefficient values. Since CINE images are usually always acquired in the studies, we use CINE derived epi/endocardial contours and make further adjustments on T1 maps. This results in more accurate and robust segmentation of the myocardial wall, which works even in the presence of edema, infarct and minor artifacts.
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