Wahle A, Olszewski
ME, Sonka M:
Transactions on Medical Imaging - Virtual Endoscopy, IEEE Press
Volume 23, Number 11, Page 1391-1403, November 2004
VRML-based visualization of 3-D models of coronary arteries, including hemodynamic and morphologic quantification results, making full use of virtual-endoscopy methods (Paper) (Images) (Links)
Abstract: A novel approach for platform-independent virtual endoscopy in human coronary arteries is presented in this paper. It incorporates previously developed and validated methodology for multi-modality fusion of two X-ray angiographic images with pullback data from intravascular ultrasound (IVUS). These modalities pose inherently different challenges than those present in many tomographic modalities that provide parallel slices. The fusion process results in a three- or four-dimensional (3-D/4-D) model of a coronary artery, specifically of its lumen/plaque and media/adventitia surfaces. The model is used for comprehensive quantitative hemodynamic, morphologic, and functional analyses. The resulting quantitative indices are then used to supplement the model. Platform-independent visualization is achieved through the use of the ISO/IEC-standardized Virtual Reality Modeling Language (VRML). The visualization includes an endoscopic fly-through animation that enables the user to interactively select vessel location and fly-through speed, as well as to display image pixel data or quantification results in 3-D. The presented VRML virtual-endoscopy system is used in research studies of coronary atherosclerosis development, quantitative assessment of coronary morphology and function, and vascular interventions.
Full Paper:
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- gziped PS file, 1778 KB
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- PDF file, 988 KB
Note: This is the final version of this manuscript as sent to the publisher; due to editorial changes prior to publication, it differs slightly from the printed version.
Images:
Model of a Right Coronary
Artery with Virtual Observer and Path
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672 columns, 920 rows, 78 KB
Virtual
Endoscopy with IVUS and Wall-Shear-Stress Data
- 640 columns, 1285 rows, 267 KB
Pre- and Post-Interventional
Wall-Shear-Stress Distribution
- 930
columns, 935 rows, 127 KB
Endoscopic
View with Annotations for Curvature Magnitude and
Direction
- 950 columns, 600 rows, 168
KB
Links: