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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