Meeting Banner
Abstract #2903

Fully Automatic SegmenTal analysis of myocardial Relaxometry (FASTR) - Initial results using T1 mapping

Venkat Ramanan1,2, Nitishkumar Bhatt1, LaBonny Biswas1,2, Idan Roifman2, Graham Wright1,2,3, and Nilesh Ghugre1,2,3

1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here