Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms
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文摘

Design of a geometric vascular model.

Non-parametric Bayesian model, learned by kernel density estimation from manually segmented datasets.

Design of a new sampling scheme, Adaptive Auxiliary Particle Filtering (AAPF).

Mean-Shift clustering for bifurcation detection and coronary tree extraction, and high computational efficiency.

Experiments demonstrate the robustness of the proposed approach for complete vessel tree segmentation.

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