Template-based multiple hypotheses tracking of small vessels

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 1047-1050

  Friman, Ola ^a   Hindennach, Milo ^a   Peitgen, Heinz Otto ^a  

^a FRAUNHOFER MEVIS   (Germany)

Author keywords

Arteries; Liver; Multiple hypotheses; Segmentation; Template; Tracking; Vessels

Indexed keywords

ARTERIES; LIVER; MULTIPLE HYPOTHESES; SEGMENTATION; TEMPLATE; TRACKING; VESSELS;

TECHNICAL PRESENTATIONS;

EID: 51049124711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541179     Document Type: Conference Paper

References (7)

1. T. Deschamps and L. Cohen, "Fast extraction of tubular and tree 3D surfaces with front propagation methods," in ICPR'02, 2002.
2. S. Aylward and E. Bullit, "Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction," IEEE Trans. Med. Imag., vol. 21, no. 2, pp. 61-75, 2002.
3. C. Florin et al., "Particle filters, a quasi-Monte Carlo solution for segmentation of coronaries," in MICCAI'05, 2005, pp. 246-253.
4. J. Tyrrell et al., "Robust 3-D modeling of vasculature imagery using superellipsoids," IEEE Trans. Med. Imag., vol. 26, no. 2, pp. 223-237, 2007.
5. J. Lee et al., "Automatic segmentation of 3D micro-CT coronary vascular images," Med. Image Anal, vol. 11, no. 6, pp. 630-647, 2007.
6. K. Krissian et al., "Model based detection of tubular structures in 3D images," Comput. Vis. Image Underst., vol. 80, no. 2, pp. 130-171, 2000.
7. Å. Björck, Numercial Methods for Least Squares Problems, SIAM, 1996.