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Proceedings Paper

Monte Carlo simulated coronary angiograms of realistic anatomy and pathology models
Author(s): Iacovos S. Kyprianou; Andreu Badal; Aldo Badano; Diemphuc Banh; Melanie Freed; Kyle J. Myers; Laura Thompson
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Paper Abstract

We have constructed a fourth generation anthropomorphic phantom which, in addition to the realistic description of the human anatomy, includes a coronary artery disease model. A watertight version of the NURBS-based Cardiac-Torso (NCAT) phantom was generated by converting the individual NURBS surfaces of each organ into closed, manifold and non-self-intersecting tessellated surfaces. The resulting 330 surfaces of the phantom organs and tissues are now comprised of ~5×106 triangles whose size depends on the individual organ surface normals. A database of the elemental composition of each organ was generated, and material properties such as density and scattering cross-sections were defined using PENELOPE. A 300 μm resolution model of a heart with 55 coronary vessel segments was constructed by fitting smooth triangular meshes to a high resolution cardiac CT scan we have segmented, and was consequently registered inside the torso model. A coronary artery disease model that uses hemodynamic properties such as blood viscosity and resistivity was used to randomly place plaque within the artery tree. To generate x-ray images of the aforementioned phantom, our group has developed an efficient Monte Carlo radiation transport code based on the subroutine package PENELOPE, which employs an octree spatial data-structure that stores and traverses the phantom triangles. X-ray angiography images were generated under realistic imaging conditions (90 kVp, 10° Wanode spectra with 3 mm Al filtration, ~5×1011 x-ray source photons, and 10% per volume iodine contrast in the coronaries). The images will be used in an optimization algorithm to select the optimal technique parameters for a variety of imaging tasks.

Paper Details

Date Published: 21 March 2007
PDF: 11 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65090O (21 March 2007); doi: 10.1117/12.709553
Show Author Affiliations
Iacovos S. Kyprianou, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Andreu Badal, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Aldo Badano, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Diemphuc Banh, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Melanie Freed, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Kyle J. Myers, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)
Laura Thompson, NIBIB/CDRH Lab. for the Assessment of Medical Imaging Systems (United States)


Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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