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Abstract #2865

Determining prolate spheroidal modes of cardiac deformation directly from tagged heart images

Walter O'Dell1 and Shruti Siva Kumar2

1Radiation Oncology, University of Florida, Gainesville, FL, United States, 2Biomedical Engineering, University of Florida, Gainesville, FL, United States

An approach was developed to compute modes of left ventricular wall deformation directly from tagged MR images via generation of simulated tagged images undergoing modes of deformation expressed in a prolate spheroidal coordinate system (PSCS). This eliminates the laborious pre-processing step of detecting tags and/or points along tags while employing an efficient and accurate representation of LV wall motion in terms of PSCS modes. The method was tested with simulated and low-quality human image data sets with acceptable initial results. It is hoped that this advancement will help rekindle application of quantitative MR tagging in the clinical and research arenas.

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