Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1205, Issue , 1997, Pages 233-242

  Lorenz, C ^a   Carlsen, I C ^a   Buzug, T M ^a   Fassnacht, C ^a   Weese, J ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; MEDICINE; ROBOTIC SURGERY; ROBOTICS; SURGERY; VIRTUAL REALITY;

ACTIVE CONTOUR ALGORITHMS; AUTOMATIC ESTIMATION; DIRECTION ESTIMATION; INTERACTIVE ALGORITHMS; LONGITUDINAL DIRECTION; MULTISCALE SEGMENTATION; SEGMENTATION AND TRACKING; TANGENTIAL DIRECTIONS;

MEDICAL IMAGE PROCESSING;

EID: 61849147989     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0029242     Document Type: Conference Paper

References (15)

1. G. Gerig, Th. Roller, G. Szekely, Ch. Brechbiihler & O. Kiibler, Segmentation and Symbolic Description of Cerebral Vessel Structure based on MR Angiography Volume Data, Computer Assisted Radiology, Proceedings of the International Symposium. CAR'93 Berlin 359 (1993).
2. Th. M. Koller, G. Gerig, G. Szekely & D. Dettwiler, Multiscale Detection of Curvilinear Structures in 2-D and 3D Image Data, Fifth International Conference on Computer Vision (June 20-23), Cambridge, MA, USA, 864 (1995).
3. D. Ziou, Line detection using an optimal IIR filter, Pattern Recognition 24, 465 (1991).
4. J. Canny, A Computational Approach to Edge Detection, IEEE Trans. Patt. Anal. Mach. Intel. 8, 679 (1986).
5. V. S. Nalwa & T. O. Binford, On Detecting Edges, IEEE Trans. Patt. Anal. Mach. Intel. 8, 699 (1986).
6. V. Torre & T. A. Poggio, On Edge Detection, IEEE Trans. Patt. Anal. Mach. Intel. 8, 147 (1986).
7. W. T. Freeman & E. H. Adelson, The Design and Use of Steerable Filters, IEEE Trans. Patt. Anal. Mach. Intel. 13, 891 (1991).
8. T. Lindeberg, in Scale-Space Theory in Computer Vision (Kluwer Academic Publishers, Dordrecht, 1994).
9. K Ottenberg, H. Neumann & H. S. Stiehl, Quantitative Description and Reconstruction of Intensity Functions using Scale-Space and Multiresolution Processing in Signal Processing VI, Theories and Applications, (Proceedings of EUSIPCO-92) (Elsevier, Amsterdam, 1992), Vol. 3, S. 1425-1429
10. D. Eberly, R. Gardner, B. Morse, S. Pizer & C. Scharlach, Ridges for Image Analysis Journal of Mathematical Imaging and Vision 4, 353 (1994).
11. Th M Koller From Data to Information: Segmentation, Description and Analysis ' of the Cerebral Vascularity (ETH PhD 11367), Dissertation, Swiss Federal Insitute of Technology, Zurich, 1996.
12. L M. J. Florack, B. M. ter Haar Romeny, J. J. Koendermk, & M. A. Viergever. Scale and the differential structure of images, image and vision computing 10, 376 (1992)
13. T Sdeberg, On scale selection for differential operators, 8th SCIA 857 (1993).
14. T Lindeberg, Edge detection and ridge detection with automatic scale selection, ' Proc. IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition (San Francisco, California) 465 (1996).
15. S. Lobregt & M.A. Viergever, A Discrete Dynamic Contour Model, IEEE Trans. Med. Imag. 14, 12 (1995).