Abstract

This paper describes an approach for fully automated segmentation of intravascular ultrasound (IVUS) images that mimics the procedure performed by human experts. The approach requires no manual initialization or interaction, and is integrated into our previously developed system for reconstruction of coronary arteries by data fusion of IVUS and X-ray angiography. The fusion system is used in an ongoing clinical study assessing the relationships among vessel curvature, plaque thickness, and hemodynamic shear stress. The improved automatic segmentation of IVUS images has resulted in a substantial decrease in the time needed for analysis, thus allowing for an increase in the size and scope of the clinical study. Preliminary results from 10 in vivo cases are presented.

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