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Abstract #2493

Semi-Automation of Myocardial Tissue Phase Mapping Segmentation and Analysis

Patrick Magrath 1 , Alex J. Barker 2 , Timothy J. Carroll 1,2 , and Michael Markl 1,2

1 Biomedical Engineering, Northwestern University, Chicago, Illinois, United States, 2 Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States

2D MRI Tissue Phase Mapping (TPM) allows the quantitative segmental evaluation of 3-directional myocardial velocities with high temporal resolution and full LV coverage. However, TPM analysis requires LV segmentation which is challenging due to the low inherent contrast in anatomic TPM images and can thus be time consuming. This study explores a novel semi-automated myocardial segmentation that utilizes both anatomic and functional information combined with cluster analysis to analyze TPM data with minimal user interaction. The feasibility of the new technique was demonstrated in a pilot study which showed good performance compared to manual segmentation as the reference standard.

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