This work employed time-resolved (4D) flow cardiac MRI and feature-tracking myocardial strain to characterize the relationship between left ventricular (LV) strain and kinetic energy after myocardial infarction. Kinetic energy indexed to end diastolic volume in the LV apex varied directly with peak radial strain in the LV apex, and with global LV ejection fraction. This method of regional analysis may be of clinical use in characterizing LV contractile and hemodynamic function in the post MI population.
MRI: Fourteen subjects with MI underwent cardiac MRI, including cine bSSFP, late gadolinium enhancement, and 4D flow imaging (mean interval from MI to imaging: 3.7 days, range=1-13 days). Flow data was acquired with a 3D radially undersampled trajectory (PC VIPR4) with the following scan parameters: field strength = 1.5-3T, TR/TE = 5.8-8.4/2.0-2.5ms, FOV = 32x32x20cm3, acquired spatial resolution = 1.25mm isotropic, 20 cardiac frames with retrospective cardiac and respiratory gating, scan time = 10-14min, VENC = 100-150cm/s. Short-axis bSSFP images with whole heart coverage had an in-plane resolution of 1.25x1.25mm2 and a slice thickness of 8mm.
Analysis: Infarct size was scored segment-by-segment by two experienced radiologists in consensus. Time-resolved LV segmentations were produced from semi-automatically contouring short axis bSSFP images using Segment (http://segment.heiberg.se, v2.0 R5399)5 and registered to 4D flow volumes with a rigid registration using ANTs6,7. LV ejection fraction (LVEF) was computed from these LV segmentations by dividing the difference between the end diastolic volume (EDV) and end systolic volume by the EDV. LV volumes were then subdivided into equal-length basal, mid-ventricular, and apical regions along the LV long axis. Through-plane flow was computed as average flow through all short-axis slices in each region. Kinetic energy indexed to end diastolic volume (KEiEDV) was computed in each region by summing kinetic energy contributions of all voxels in the region, and then dividing by the EDV to control for kinetic energy differences due to variations in EDV. Radial and circumferential strain were computed in the base, mid-ventricle, and apex regions of the LV from short-axis bSSFP images in Segment using a feature-tracking algorithm8. Univariate linear regression was used to determine the relationship between flow metrics (peak systolic through-plane flow, peak systolic KEiEDV), peak strain (radial and circumferential), LVEF, and infarct size on a region-by-region basis.
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