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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