3 July 2001 Four-dimensional coronary morphology and computational hemodynamics
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Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001); doi: 10.1117/12.431153
Event: Medical Imaging 2001, 2001, San Diego, CA, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Wahle, Steven C. Mitchell, Sharan D. Ramaswamy, Krishnan B. Chandran, Milan Sonka, "Four-dimensional coronary morphology and computational hemodynamics", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431153; https://doi.org/10.1117/12.431153
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KEYWORDS
3D modeling

Intravascular ultrasound

Heart

Data modeling

Angiography

3D image processing

Data fusion

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