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Proceedings Paper

5D model for accurate representation and visualization of dynamic cardiac structures
Author(s): Wei-te Lin; Richard A. Robb
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Paper Abstract

Accurate cardiac modeling is challenging due to the intricate structure and complex contraction patterns of myocardial tissues. Fast imaging techniques can provide 4D structural information acquired as a sequence of 3D images throughout the cardiac cycle. To mode. The beating heart, we created a physics-based surface model that deforms between successive time point in the cardiac cycle. 3D images of canine hearts were acquired during one complete cardiac cycle using the DSR and the EBCT. The left ventricle of the first time point is reconstructed as a triangular mesh. A mass-spring physics-based deformable mode,, which can expand and shrink with local contraction and stretching forces distributed in an anatomically accurate simulation of cardiac motion, is applied to the initial mesh and allows the initial mesh to deform to fit the left ventricle in successive time increments of the sequence. The resulting 4D model can be interactively transformed and displayed with associated regional electrical activity mapped onto anatomic surfaces, producing a 5D model, which faithfully exhibits regional cardiac contraction and relaxation patterns over the entire heart. The model faithfully represents structural changes throughout the cardiac cycle. Such models provide the framework for minimizing the number of time points required to usefully depict regional motion of myocardium and allow quantitative assessment of regional myocardial motion. The electrical activation mapping provides spatial and temporal correlation within the cardiac cycle. In procedures which as intra-cardiac catheter ablation, visualization of the dynamic model can be used to accurately localize the foci of myocardial arrhythmias and guide positioning of catheters for optimal ablation.

Paper Details

Date Published: 3 May 2000
PDF: 8 pages
Proc. SPIE 3911, Biomedical Diagnostic, Guidance, and Surgical-Assist Systems II, (3 May 2000); doi: 10.1117/12.384919
Show Author Affiliations
Wei-te Lin, Mayo Clinic and Foundation (United States)
Richard A. Robb, Mayo Clinic and Foundation (United States)

Published in SPIE Proceedings Vol. 3911:
Biomedical Diagnostic, Guidance, and Surgical-Assist Systems II
Tuan Vo-Dinh; Warren S. Grundfest M.D.; David A. Benaron M.D., Editor(s)

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