Bayesian Tracking of Elongated Structures in 3D Images

Tracking of tubular elongated structures is an important goal in a wide range of biomedical imaging applications. A Bayesian tube tracking algorithm is presented that allows to easily incorporate a priori knowledge. Because probabilistic tube tracking algorithms are computationally complex, steps towards a computational efficient implementation are suggested in this paper. The algorithm is evaluated on 2D and 3D synthetic data with different noise levels and clinical CTA data. The approach shows good performance on data with high levels of Gaussian noise.

[1]  E. Saff,et al.  Distributing many points on a sphere , 1997 .

[2]  Olivier D. Faugeras,et al.  CURVES: Curve evolution for vessel segmentation , 2001, Medical Image Anal..

[3]  Wiro J. Niessen,et al.  Multiscale Vessel Enhancing Diffusion in CT Angiography Noise Filtering , 2005, IPMI.

[4]  A. Rose,et al.  Vision: human and electronic , 1973 .

[5]  Simon J. Godsill,et al.  On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..

[6]  Nikos Paragios,et al.  Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation , 2006, ECCV.

[7]  Francis K. H. Quek,et al.  A review of vessel extraction techniques and algorithms , 2004, CSUR.

[8]  Stephen R. Aylward,et al.  Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction , 2002, IEEE Transactions on Medical Imaging.

[9]  S. Maybank,et al.  Towards the Automatic Reconstruction of Dendritic Trees using Particle Filters , 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

[10]  Eric Perrier,et al.  Comparison of coronary minimal lumen area quantification by sixty-four-slice computed tomography versus intravascular ultrasound for intermediate stenosis. , 2006, The American journal of cardiology.

[11]  Antti Oulasvirta,et al.  Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.

[12]  Kecheng Liu,et al.  A review on MR vascular image processing algorithms: acquisition and prefiltering: part I , 2002, IEEE Transactions on Information Technology in Biomedicine.