LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models

Authors:
Xiaoxu Wang;Ting Chen;Shaoting Zhang;Dimitris Metaxas;Leon Axel
Affiliations:
Rutgers University, Piscataway, USA 08854;New York University, New York, USA 08854;Rutgers University, Piscataway, USA 08854;Rutgers University, Piscataway, USA 08854;New York University, New York, USA 08854
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

We propose a novel meshless deformable model for in vivoLeft Ventricle (LV) 3D motion estimation and analysis based on tagged MRI (tMRI). The meshless deformable model can capture global deformations such as contraction and torsion with a few parameters, while track local deformations with Laplacian representation. In particular, the model performs well even when the control points (tag intersections) are relatively sparse. We test the performance of the meshless model on a numeric phantom, as well as in vivoheart data of healthy subjects and patients. The experimental results show that the meshless deformable model can fully recover the myocardial motion and strain in 3D.