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In this paper, we propose an enhanced 3D myocardial strain estimationprocedure, which combines complementary displacement information from multipleorientations of a single imaging modality (untagged CMR SSFP images). Toestimate myocardial strain across the left ventricle, we register the sets ofshort-axis, four-chamber and two-chamber views via a 2D non-rigid registrationalgorithm implemented in a commercial software (Segment, Medviso). We thencreate a series of interpolating functions for the three orthogonal directionsof motion and use them to deform a tetrahedral mesh representation of apatient-specific left ventricle. Additionally, we correct for overestimation ofdisplacement by introducing a weighting scheme that is based on displacementalong the long axis. The procedure was evaluated on the STACOM 2011 datasetcontaining CMR SSFP images for 16 healthy volunteers. We show increasedaccuracy in estimating the three strain components (radial, circumferential,longitudinal) compared to reported results in the challenge, for the imagingmodality of interest (SSFP). Our peak strain estimates are also significantlycloser to reported measurements from studies of a larger cohort in theliterature and our own ground truth measurements using Segment Strain AnalysisModule. Our proposed procedure provides a relatively fast and simple method toimprove 2D tracking results, with the added flexibility in either deforming areconstructed mesh model from other image modalities or using the built-in CMRmesh reconstruction procedure. Our, proposed scheme presents a deformingpatient-specific model of the left ventricle, using the commonest imagingmodality , routinely administered in clinical settings, without requiringadditional or specialized imaging protocols.

Enhanced 3D Myocardial Strain Estimation from Multi-View 2D CMR Imaging