Registration of multimodal 3D cardiac information using the iterative closest-point approach

Tracy L. Faber; Francois Chiron; Norberto F. Ezquerra; Jarek Rossignac; J. Larry Klein; Russell D. Folks; Ernest V. Garcia

doi:10.1117/12.402445

4 October 2000 Registration of multimodal 3D cardiac information using the iterative closest-point approach

Tracy L. Faber, Francois Chiron, Norberto F. Ezquerra, Jarek Rossignac, J. Larry Klein, Russell D. Folks, Ernest V. Garcia

Author Affiliations +

Proceedings Volume 4121, Mathematical Modeling, Estimation, and Imaging; (2000) https://doi.org/10.1117/12.402445
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Tracy L. Faber, Francois Chiron, Norberto F. Ezquerra, Jarek Rossignac, J. Larry Klein, Russell D. Folks, and Ernest V. Garcia "Registration of multimodal 3D cardiac information using the iterative closest-point approach", Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); https://doi.org/10.1117/12.402445

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