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Computer Generated Vasculature

Computer Generated Vasculature. Laboratory for Product and Process Design Undergraduate: Dexter Teng Mentors: Brian Sweetman & Andreas Linninger Date: February 4th, 2010. Motivation.

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Computer Generated Vasculature

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  1. Computer Generated Vasculature Laboratory for Product and Process Design Undergraduate:Dexter Teng Mentors:Brian Sweetman & Andreas Linninger Date:February 4th, 2010

  2. Motivation • MAIN GOAL: Reconstruct accurate model of brain vasculature using Constrained Constructive Optimization (CCO) algorithm.

  3. Significance • Contribute to an overarching goal of constructing a model to better quantify brain physics interaction between: • CSF (Ventricular system) • Blood (Vascular system) • And Brain Tissue… • … in order to improve treatment and diagnosis of CNS diseases.

  4. Preliminary Goal (Goal 1) • Understand how to reconstruct a vascular system with simple constraints using CCO algorithm • 1. Literature search. • 2. Understand CCO algorithm. • Review vector algebra • 3. Choose & develop data structure. • Timeline: Week 1-5 (5)

  5. Asupp ibif iconn inew iroot Asupp ibif iconn inew 2. What is CCO algorithm? • A set of rules based on physiological laws for pseudo-stochastic growth of a fractal system [in this case our system is the vasculature]. • Know: # of terminal points, bifurcation exponent (for radii shrinkage), perfusion pressure/flow, terminal pressure/flow, viscosity of blood and size of medium (circle, heart, brain etc) • More work needs to be done. • Review Smit’s work.

  6. 3.Data Structure • Important - organization of nodes is the most important aspect of CCO. Versatility is required because of the nature of CCO. • Requires that nodes are traversable, removeable and readjustable • Possible Data Structures • Arrays • Singly linked-lists • Doubly linked-list • Binary Tree • Programming needs to be done.

  7. Semester Goals • Goal 2: Reconstruct a small 2-D vasculature in circle • 1. Program CCO algorithm on MATLAB • 1.1 Have algorithm compatible with data structure code. • 2. Begin technical report. • Weeks 6-8 (3)

  8. Goal 3: Reconstruct a small 3-D Vasculature in small sphere • 1. Literature search on previous works done. • 2. Work on program. • 3. Revise technical report. • Weeks 9-13 (5)

  9. Goal 4: Reconstruct a 3-D vasculature in a model brain. [Ventricular system/Brain Tissue] • Revise technical report. • 13-16 (4)

  10. Questions? Comments? • Bibliography: • Slide 1; picture: Schreiner, Wolfgang, Rudolf Karch, Friederike Neumann, Bruno K. Podesser et al. "Fractal Properties of Perfusion Heterogeneity in Optimized Arterial Trees: A Model Study." The Journal of General Physiology (2003): 311. Print. • Slide 5; picture: Smit Naik • Slide 6; picture: Wikipedia

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