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MICCAI
2005
Springer

Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries

10 years 2 months ago
Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries
Abstract. In this paper we propose a Particle Filter-based approach for the segmentation of coronary arteries. To this end, successive planes of the vessel are modeled as unknown states of a sequential process. Such states consist of the orientation, position, shape model and appearance (in statistical terms) of the vessel that are recovered in an incremental fashion, using a sequential Bayesian filter (Particle Filter). In order to account for bifurcations and branchings, we consider a Monte Carlo sampling rule that propagates in parallel multiple hypotheses. Promising results on the segmentation of coronary arteries demonstrate the potential of the proposed approach.
Charles Florin, Nikos Paragios, James Williams
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2005
Where MICCAI
Authors Charles Florin, Nikos Paragios, James Williams
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