Paper
17 March 2008 Coronary CT angiography: IVUS image fusion for quantitative plaque and stenosis analyses
Henk A. Marquering, Jouke Dijkstra, Quentin J. A. Besnehard, Julien P. M. Duthé, Joanne D. Schuijf, Jeroen J. Bax, Johan H. C. Reiber
Author Affiliations +
Abstract
Rationale and Objective: Due to the limited temporal and spatial resolution, coronary CT angiographic image quality is not optimal for robust and accurate stenosis quantification, and plaque differentiation and quantification. By combining the high-resolution IVUS images with CT images, a detailed representation of the coronary arteries can be provided in the CT images. Methods: The two vessel data sets are matched using three steps. First, vessel segments are matched using anatomical landmarks. Second, the landmarks are aligned in cross-sectional vessel images. Third, the semi-automatically detected IVUS lumen contours are matched to the CTA data, using manual interaction and automatic registration methods. Results: The IVUS-CTA fusion tool facilitates the unique combined view of the high-resolution IVUS segmentation of the outer vessel wall and lumen-intima transitions on the CT images. The cylindrical projection of the CMPR image decreases the analysis time with 50 percent. The automatic registration of the cross-vessel views decreases the analyses time with 85 percent. Conclusions: The fusion of IVUS images and their segmentation results with coronary CT angiographic images provide a detailed view of the lumen and vessel wall of coronary arteries. The automatic fusion tool makes such a registration feasible for the development and validation of analysis tools.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henk A. Marquering, Jouke Dijkstra, Quentin J. A. Besnehard, Julien P. M. Duthé, Joanne D. Schuijf, Jeroen J. Bax, and Johan H. C. Reiber "Coronary CT angiography: IVUS image fusion for quantitative plaque and stenosis analyses", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181G (17 March 2008); https://doi.org/10.1117/12.772582
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Intravascular ultrasound

Image fusion

Image segmentation

Image registration

Computed tomography

Angiography

Arteries

Back to Top