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Proceedings Paper

Four-dimensional coronary morphology and computational hemodynamics
Author(s): Andreas Wahle; Steven C. Mitchell; Sharan D. Ramaswamy; Krishnan B. Chandran; Milan Sonka
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Paper Abstract

Conventional reconstructions from intravascular ultrasound (IVUS) stack the frames as acquired during the pullback of the catheter to form a straight three-dimensional volume, thus neglecting the vessel curvature and merging images from different heart phases. We are developing a comprehensive system for fusion of the IVUS data with the pullback path as determined from x-ray angiography, to create a geometrically accurate 4-D (3-D plus time) model of the coronary vasculature as basis for computational hemodynamics. The overall goal of our work is to correlate shear stress with plaque thickness. The IVUS data are obtained in a single pullback using an automated pullback device; the frames are afterwards assigned to their respective heart phases based upon the ECG signal. A set of 3-D models is reconstructed by fusion of IVUS and angiographic data corresponding to the same ECG-gated heart phase; methods of computational fluid dynamics (CFD) are applied to obtain important hemodynamic data. Combining these models yields the final 4-D reconstruction. Visualization is performed using the platform-independent VRML standard for a user-friendly manipulation of the scene. An extension for virtual angioscopy allows an easy assessment of the vessel features within their local context. Validation was successfully performed both in-vitro and in-vivo.

Paper Details

Date Published: 3 July 2001
PDF: 12 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431153
Show Author Affiliations
Andreas Wahle, Univ. of Iowa (United States)
Steven C. Mitchell, Univ. of Iowa (United States)
Sharan D. Ramaswamy, Univ. of Iowa (United States)
Krishnan B. Chandran, Univ. of Iowa (United States)
Milan Sonka, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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