On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Bayesian tracking of elongated structures in 3D images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Design and study of flux-based features for 3D vascular tracking
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Adaptive intensity models for probabilistic tracking of 3D vasculature
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Microtubule dynamics analysis using kymographs and variable-rate particle filters
IEEE Transactions on Image Processing
Segmentation of nerve bundles and ganglia in spine MRI using particle filters
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Vessels-Cut: a graph based approach to patient-specific carotid arteries modeling
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
A novel method for retinal vessel tracking using particle filters
Computers in Biology and Medicine
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This paper presents a Bayesian framework for tracking of tubular structures such as vessels. Compared to conventional tracking schemes, its main advantage is its non-deterministic character, which strongly increases the robustness of the method. A key element of our approach is a dedicated observation model for tubular structures in regions with varying intensities. Furthermore, we show how the tracking method can be used to obtain a probabilistic segmentation of the tracked tubular structure. The method has been applied to track the internal carotid artery from CT angiography data of 14 patients (28 carotids) through the skull base. This is a challenging problem, owing to the close proximity of bone, overlap in intensity values of lumen voxels and (partial volume) bone voxels, and the tortuous path of the vessels. The tracking was successful in 25 cases, and the extracted path were found to be close (