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Proceedings Paper

Registration of multimodal 3D cardiac information using the iterative closest-point approach
Author(s): Tracy L. Faber; Francois Chiron; Norberto F. Ezquerra; Jarek Rossignac; J. Larry Klein; Russell D. Folks; Ernest V. Garcia
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Paper Abstract

A new implementation of the iterative closest point method for automatic registration is introduced. It is designed to unify three-dimensional models of the coronary artery tree created from biplane angiograms with three-dimensional models of the left ventricular epicardial surface created from perfusion SPECT. The speed and efficacy of the technique is evaluated using simulations and five patient studies. The technique is shown to be fast and quantitatively accurate in the simulations; evaluations of the results in patients are also satisfactory.

Paper Details

Date Published: 4 October 2000
PDF: 9 pages
Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); doi: 10.1117/12.402445
Show Author Affiliations
Tracy L. Faber, Emory Univ. (United States)
Francois Chiron, Georgia Institute of Technology (United States)
Norberto F. Ezquerra, Georgia Institute of Technology (United States)
Jarek Rossignac, Georgia Institute of Technology (United States)
J. Larry Klein, Emory Univ. (United States)
Russell D. Folks, Emory Univ. (United States)
Ernest V. Garcia, Emory Univ. (United States)

Published in SPIE Proceedings Vol. 4121:
Mathematical Modeling, Estimation, and Imaging
David C. Wilson; Hemant D. Tagare; Fred L. Bookstein; Francoise J. Preteux; Edward R. Dougherty, Editor(s)

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