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Large-Scale 3-D Geometric Reconstruction of the Porcine Coronary Arterial Vasculature Based on Detailed Anatomical Data

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Abstract

The temporal and spatial distribution of coronary blood flow, pressure, and volume are determined by the branching pattern and three-dimensional (3-D) geometry of the coronary vasculature, and by the mechanics of heart wall and vascular tone. Consequently, a realistic simulation of coronary blood flow requires, as a first step, an accurate representation of the coronary vasculature in a 3-D model of the beating heart. In the present study, a large-scale stochastic reconstruction of the asymmetric coronary arterial trees (right coronary artery, RCA; left anterior descending, LAD; and left circumflex, LCx) of the porcine heart has been carried out to set the stage for future hemodynamic analysis. The model spans the entire coronary arterial tree down to the capillary vessels. The 3-D tree structure was reconstructed initially in rectangular slab geometry by means of global geometrical optimization using parallel simulated annealing (SA) algorithm. The SA optimization was subject to constraints prescribed by previously measured morphometric features of the coronary arterial trees. Subsequently, the reconstructed trees were mapped onto a prolate spheroid geometry of the heart. The transformed geometry was determined through least squares minimization of the related changes in both segments lengths and their angular characteristics. Vessel diameters were assigned based on a novel representation of diameter asymmetry along bifurcations. The reconstructed RCA, LAD and LCx arterial trees show qualitative resemblance to native coronary networks, and their morphological statistics are consistent with the measured data. The present model constitutes the first most extensive reconstruction of the entire coronary arterial system which will serve as a geometric foundation for future studies of flow in an anatomically accurate 3-D coronary vascular model.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Israel Institute of Technology, Haifa, Israel

    Benjamin Kaimovitz & Yoram Lanir

  2. Department of Biomedical Engineering, University of California, Irvine, CA

    Benjamin Kaimovitz & Ghassan S. Kassab PhD

  3. Physiology Program, Harvard School of Public Health, Boston, MA

    Yoram Lanir

  4. Department of Biomedical Engineering, 204 Rockwell Engineering Center, University of California, Irvine, Irvine, CA, 92697-2715

    Ghassan S. Kassab PhD

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  1. Benjamin Kaimovitz
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  2. Yoram Lanir
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  3. Ghassan S. Kassab PhD
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Correspondence to Ghassan S. Kassab PhD.

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Kaimovitz, B., Lanir, Y. & Kassab, G.S. Large-Scale 3-D Geometric Reconstruction of the Porcine Coronary Arterial Vasculature Based on Detailed Anatomical Data. Ann Biomed Eng 33, 1517–1535 (2005). https://doi.org/10.1007/s10439-005-7544-3

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  • DOI: https://doi.org/10.1007/s10439-005-7544-3

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