TY - GEN
T1 - Coronary CT angiography - IVUS image fusion for quantitative plaque and stenosis analyses
AU - Marquering, Henk A.
AU - Dijkstra, Jouke
AU - Besnehard, Quentin J.A.
AU - Duthé, Julien P.M.
AU - Schuijf, Joanne D.
AU - Bax, Jeroen J.
AU - Reiber, Johan H.C.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Cardiac procedures
KW - Disease characterization
KW - Multimodality display
KW - Registration
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=44949223555&partnerID=8YFLogxK
U2 - https://doi.org/10.1117/12.772582
DO - https://doi.org/10.1117/12.772582
M3 - Conference contribution
SN - 9780819471024
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2008 - Visualization, Image-Guided Procedures, and Modeling
T2 - Medical Imaging 2008 - Visualization, Image-Guided Procedures, and Modeling
Y2 - 17 February 2008 through 19 February 2008
ER -