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Abstract #4757

Motion tracking in cardiac MRI: Cine Watermark tracking of myocardial strain

Davis Marc Vigneault1,2,3, Ronald J Beyers4, Chia Ying Liu2, Alison J Noble1, Thomas Denney4, and David A Bluemke2

1Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United States, 3Sackler School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA, United States, 4Auburn University MRI Research Center, Auburn University, Auburn, AL, United States

Quantification of regional cardiac function is of central importance in cardiology, but has yet to be adopted into clinical practice due to limitations of the current techniques. Here we present a method requiring minimal human intervention for tracking “cine watermark” images, in which features have been encoded into the phase image of a cardiac cine series. The method employs nonlinear least squares optimization, which allows the sum of squared wrapped phase differences between patches in successive frames to be minimized globally across all frames, while regularizing over physically-motivated metrics. Preliminary results in healthy human volunteers show robust tracking.

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