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Proceedings Paper

Real-time visualization of coronary interventions using VRML
Author(s): Steven C. Mitchell; Andreas Wahle; Clemens von Birgelen; Raimund Erbel; Milan Sonka
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Paper Abstract

Medical visualization is a rapidly developing field with many application areas spanning from visualization of anatomy to surgery planning, to understanding of disease processes. With increasing computer speed, medical visualization is becoming more real-time. In this paper, we present a novel application of real-time three-dimensional visualization of coronary arteries during catheter interventions that combines image information from two complementary sources: biplane x-ray contrast angiography and intravascular ultrasound (IVUS). After identification of the three-dimensional characteristics of the intravascular ultrasound pullback sequence, vessel geometry and vessel wall images are combined into a single visualization using semi-automated analysis of a corresponding pair of biplane angiography images. Visualization data are represented using the Virtual Reality Modeling Language (VRML), the code for which is automatically generated by our angiography/IVUS image processing and analysis software system. Selection of the VRML approach facilitates real-time 3-D visualization with an ability of over-the-network image processing and dissemination of results. The visualization specifics are easily modifiable in near real time to consider the immediate requirements of the end-user, the cardiologist who performs the coronary intervention.

Paper Details

Date Published: 20 May 1999
PDF: 9 pages
Proc. SPIE 3660, Medical Imaging 1999: Physiology and Function from Multidimensional Images, (20 May 1999); doi: 10.1117/12.349598
Show Author Affiliations
Steven C. Mitchell, Univ. of Iowa (United States)
Andreas Wahle, Univ. of Iowa (United States)
Clemens von Birgelen, Univ. Hospital Essen (Germany)
Raimund Erbel, Univ. Hospital Essen (Germany)
Milan Sonka, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 3660:
Medical Imaging 1999: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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