A 3D myocardial motion tracking algorithm using simultaneous MRI tagging and velocity quantification showed high correlation (r=0.93, P<0.001) with long-axis image tagging-grid intersections.
Effect estimate: Correlation coefficient 0.93
p-value: p=<0.001
A tracking algorithm was developed for calculation of three-dimensional point-specific myocardial motion. The algorithm was designed for images acquired with simultaneous magnetic resonance imaging (MRI) grid tagging and through-plane velocity quantification. The tagging grid provided the in-plane motion while the velocity quantification measured the through-plane motion. In four healthy volunteers, the in vivo performance was evaluated by comparing the systolic through-plane displacement with the displacement of tagging-grid intersections in long-axis images. The correlation coefficient was 0.93 (P < 0.001, N = 183). A t-test for paired samples revealed a small underestimation of the through-plane displacement by 0.04 +/- 0.09 cm (mean +/- SD, P < 0.001) on an average displacement of 0.77 +/- 0.23 cm toward the apex. The authors conclude that three-dimensional point-specific motion tracking based on simultaneous tagging and velocity quantification is competitive with other methods such as tagging in mutually orthogonal image planes or quantification of three orthogonal velocity components.
Kuijer et al. (Mon,) conducted a other in Healthy volunteers (n=4). Three-dimensional myocardial motion tracking algorithm based on simultaneous MRI grid tagging and through-plane velocity quantification vs. Displacement of tagging-grid intersections in long-axis images was evaluated on Systolic through-plane displacement correlation (Correlation coefficient 0.93, p=<0.001). A 3D myocardial motion tracking algorithm using simultaneous MRI tagging and velocity quantification showed high correlation (r=0.93, P<0.001) with long-axis image tagging-grid intersections.