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Abstract #1242

Analysis of Small Dilation Detection in Coronary Angiography

Travis B. Smith1, Krishna S. Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States


Estimation of coronary artery cross-sectional lumen area from MR images is now being used to assess the relationship between atherosclerosis and vasomotion response to endothelial-dependent stimuli. Typically, cross-sectional images of the coronary lumen acquired before and after administration of such stimuli are fit to circular templates to estimate the change in area. These studies have reported very small mean changes in lumen area. In this work, we develop a statistical framework for the detection of these subtle changes in lumen area using two images. We use this framework to relate detection performance to SNR requirements and minimum detectable dilation.

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