LV shape and motion: B-spline-based deformable model and sequential motion decomposition.

Guo Luo; Pheng Ann Heng

doi:10.1109/titb.2005.847508

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LV shape and motion: B-spline-based deformable model and sequential motion decomposition.

Guo Luo·Pheng Ann Heng

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Abstract

In this paper, we extend a previous work by J. Park and propose a uniform framework to reconstruct left ventricle (LV) geometry/motion from tagged MR images. In our work, the LV is modeled as a generalized prolate spheroid, and its motion is decomposed into four components-global translation, polar radial/z-axis compression, twisting, and bending. By formulating model parameters as tensor products of B-splines, we develop efficient algorithms to quickly reconstruct LV geometry/motion from extracted boundary contours and tracked planar tags. Experiments on both synthesized and in vivo data are also reported.

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Algorithms Elasticity Heart Ventricles Humans Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Models, Cardiovascular Movement Myocardial Contraction Myocardial Ischemia Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Ventricular Dysfunction, Left Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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Guo Luo, Pheng Ann Heng. 2005. LV shape and motion: B-spline-based deformable model and sequential motion decomposition.. https://doi.org/10.1109/titb.2005.847508

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