Accurate recovery of 4D left ventricular deformations using volumetric B-splines incorporating phase based displacement estimates

Jian Chen; Nicholas J. Tustison; Amir A. Amini

doi:10.1117/12.655668

16 March 2006 Accurate recovery of 4D left ventricular deformations using volumetric B-splines incorporating phase based displacement estimates

Jian Chen, Nicholas J. Tustison, Amir A. Amini

Author Affiliations +

Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 61432Q (2006) https://doi.org/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.

Citation Download Citation

Jian Chen, Nicholas J. Tustison, and 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); https://doi.org/10.1117/12.655668

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