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Proceedings Paper

Left-ventricle motion modeling and analysis by adaptive-size physically-based models
Author(s): Wen-Chen Huang; Dmitry B. Goldgof
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Paper Abstract

This paper presents a new physically based modeling method which employs adaptive-size meshes to model left ventricle (LV) shape and track its motion during cardiac cycle. The mesh size increases or decreases dynamically during surface reconstruction process to locate nodes near surface areas of interest and to minimize the fitting error. Further, presented with multiple 3-D data frames, the mesh size varies as the LV undergoes nonrigid motion. Simulation results illustrate the performance and accuracy of the proposed algorithm. Then, the algorithm is applied to the volumetric temporal cardiac data. The LV data was acquired by the 3-D computed tomography scanner. It was provided by Dr. Eric Hoffman at University of Pennsylvania Medical school and consists of 16 volumetric (128 by 128 by 118) images taken through the heart cycle.

Paper Details

Date Published: 26 June 1992
PDF: 12 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59560
Show Author Affiliations
Wen-Chen Huang, Univ. of South Florida (United States)
Dmitry B. Goldgof, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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