16 March 2006 Accurate recovery of 4D left ventricular deformations using volumetric B-splines incorporating phase based displacement estimates
Author Affiliations +
Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 61432Q (2006); doi: 10.1117/12.655668
Event: Medical Imaging, 2006, San Diego, California, United States
Abstract
In this paper, an improved framework for estimation of 3-D left-ventricular deformations from tagged MRI is presented. Contiguous short- and long-axis tagged MR images are collected and are used within a 4-D B-Spline based deformable model to determine 4-D displacements and strains. An initial 4-D B-spline model fitted to sparse tag line data is first constructed by minimizing a 4-D Chamfer distance potential-based energy function for aligning isoparametric planes of the model with tag line locations; subsequently, dense virtual tag lines based on 2-D phase-based displacement estimates and the initial model are created. A final 4-D B-spline model with increased knots is fitted to the virtual tag lines. From the final model, we can extract accurate 3-D myocardial deformation fields and corresponding strain maps which are local measures of non-rigid deformation. Lagrangian strains in simulated data are derived which show improvement over our previous work. The method is also applied to 3-D tagged MRI data collected in a canine.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Chen, Nicholas J. Tustison, Amir A. Amini, "Accurate recovery of 4D left ventricular deformations using volumetric B-splines incorporating phase based displacement estimates", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432Q (16 March 2006); doi: 10.1117/12.655668; https://doi.org/10.1117/12.655668
PROCEEDINGS
10 PAGES


SHARE
KEYWORDS
Data modeling

3D modeling

Magnetic resonance imaging

Solids

Motion models

Image restoration

3D image processing

Back to Top