Abstract
Intravascular ultrasound (IVUS) imaging is a catheter-based medical technique establishing itself as a useful tool for studying atherosclerotic disease. It provides cross-sectional inside view of blood vessels that allows a complete quantitative assessment of their morphology such as: vascular wall, nature of atherosclerotic lesions and plaque shape and size. In this work, a 3D IVUS segmentation model that is based on a variational formulation for geometric active contours "the fast-marching method" and uses gray level. The gray level distribution of the IVUS ensemble Pullback was modeled with a mixture of Rayleigh probability density functions (PDFs). With multiple interface fast-marching segmentation, the light, intima and plaque structure too, and especially media layers of the vessel wall were computed simultaneously.
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