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This study explores the optimization principles governing the growth of arterial trees, particularly in the context of coronary arteries. By applying computational methods, including simulated annealing and constrained constructive optimization, the research examines the topological and geometrical factors that influence energy requirements and blood volume maintenance. Key findings highlight the asymmetry in bifurcation patterns under varying metabolic costs and propose future applications in medical imaging, artificial tissue development, and statistical modeling of strokes. The results advance our understanding of vascular structure optimization.
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Arterial Growth From Optimisation Principles Jonathan J. Keelan, The Open University (Global metabolic optimality in the structure of the coronary arteries, arXiv:1403.6450, J. Keelan, E.M.L. Chung and J.P. Hague)
Arterial Trees • Approximately Binary (3% Trifurcation) • Delivery and Transport • Topology and Geometry
Energy Requirements • Blood volume maintenance • Pumping power / vascular resistance • Murrays Law
Modelling • Fractal Models • Constrained Constructive Optimisation (CCO) • Morphological Models [2] [1] CCO Morphological 1. Schreiner, W., et al (2006). Optimized arterial trees supplying hollow organs. Medical Engineering & Physics, 28(5), 416-429 2. Kaimovitz, B., et al. (2010). A full 3-D reconstruction of the entire porcine coronary. Am J Phys. Heart Circ. Phys
Modelling • Blood Supply • Arterial Exclusion • Volume and Power arXiv:1403.6450
Simulated Annealing • Geometry • Topology • Boundary Constraints arXiv:1403.6450
Results arXiv:1403.6450
Results • Bifurcation asymmetry over various metabolic costs arXiv:1403.6450
Results Anterior Posterior arXiv:1403.6450
Future Work • Use real tissue geometries (e.g. Brain MRI data) • Model various organs • Incorporate into statistical stroke model
Applications [1] • Medical Imaging Augmentation • Artificial tissue / Organs [1] Kolesky, David B. etc al, 3D Bioprinting of Vascularized, Heterogeneous Cell-Laden Tissue Constructs, Advanced Materials, 1521-4095
Summary • Computational growth of arterial trees • Simulated Annealing algorithm for arbitrary tissue geometries • Accurate reproduction of Morphological / Structural properties