Key result
A computational framework combining cine and tagged CMR images successfully reconstructed a 3D dense cardiac motion field, demonstrating high correlation with HARP analysis.
A novel computational framework combining cine and tagged CMR images successfully reconstructed a 3D dense cardiac motion field, showing high correlation with standard HARP analysis in a healthy pig model.
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May enable detailed cardiac motion assessment; leaves open human validation in disease.
We developed a method to reconstruct the 3D dense motion field of the left ventricle (LV) over one cardiac cycle from a fusion of cine and tagged cardiovascular magnetic resonance (CMR) images. The inputs to our methods are (i) a set of short-axis (SA) and long-axis (LA) tagged CMR images of the LV over one cardiac cycle, and (ii) a set of border-delineated cine CMR images of the LV at end-diastole. A hexahedral mesh of the LV myocardium is reconstructed from the border-delineated cine images and used for the dense motion field reconstruction.
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Teo et al. (2016) studied Healthy (n=1). 3D dense cardiac motion field reconstruction (FEM model) vs. HARP analysis was evaluated on Correlation of circumferential strain between FEM model and HARP analysis (r = 0.94-0.99). A computational framework combining cine and tagged CMR images successfully reconstructed a 3D dense cardiac motion field, demonstrating high correlation with HARP analysis.
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