title: Estimating dense cardiac 3D motion using sparse 2D tagged MRI cross-sections.
abstract: In this work, we describe a new method, an extension of the Large Deformation Diffeomorphic Metric Mapping to estimate three-dimensional deformation of tagged Magnetic Resonance Imaging Data. Our approach relies on performing non-rigid registration of tag planes that were constructed from set of initial reference short axis tag grids to a set of deformed tag curves. We validated our algorithm using in-vivo tagged images of normal mice. The mapping allows us to compute root mean square distance error between simulated tag curves in a set of long axis image planes and the acquired tag curves in the same plane. Average RMS error was 0.31 ± 0.36(SD) mm, which is approximately 2.5 voxels, indicating good matching accuracy.
authors.forename: Siamak
authors.initials: S
authors.lastname: Ardekani
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Gunter
authors.forename: Saurabh
authors.initials: S
authors.lastname: Jain
authors.forename: Robert G
authors.initials: RG
authors.lastname: Weiss
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
authors.forename: Laurent
authors.initials: L
authors.lastname: Younes
mesh_terms: D000465:Algorithms; D000818:Animals; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D051379:Mice; D009068:Movement; D009200:Myocardial Contraction; D016276:Ventricular Function