Efficient center-line extraction for quantification of vessels in confocal microscopy images

Medical Physics

Volumn 30, Issue 2, 2003, Pages 204-211

  Maddah, Mahnaz ^a,b   Afzali Kusha, Ali ^a   Soltanian Zadeh, Hamid ^a,b,c,d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

^c HENRY FORD HEALTH SYSTEM   (United States)

^d Radiology Image Analysis Laboratory   (United States)

Author keywords

Centerline extraction; Confocal microscopy; Path planning; Skeletonization; Vascular quantification

Indexed keywords

CONFOCAL MICROSCOPY; MOTION PLANNING; ROBOT PROGRAMMING;

BRANCHING STRUCTURES; CENTERLINE EXTRACTION; DISTANCE TRANSFORMS; PATH PLANNING METHOD; QUANTITATIVE PARAMETERS; SKELETONIZATION; THREEDIMENSIONAL (3-D); VASCULAR QUANTIFICATION;

EXTRACTION;

ALGORITHM; ANIMAL TISSUE; ARTICLE; AUTOMATION; BRAIN BLOOD VESSEL; CONFOCAL MICROSCOPY; CONTROLLED STUDY; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT;

EID: 0037322128     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1533747     Document Type: Article

References (27)

1. R. E. Rowland and E. M. Nickless, "Confocal microscopy opens the door to 3-dimensional analysis of cells," Bioscience 26, 3-7 (2000).
2. N. Flasque, M. Desvignes, J. M. Constans, and M. Revenu, "Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images," Med. Image Anal 5, 173-183 (2001).
3. H. Blum, "A transformation for extracting new descriptors of shape," in Models for the Peception of Speech and Visual Form, edited by W. Wathen-Dunn (MIT, Cambridge, 1967), pp. 362-380.
4. N. Gagvani and D. Silver, "Parameter-controlled volume thinning," Graph. Models Image Process. 61, 149-164 (1999).
5. Y. Zhou and A. W. Toga, "Efficient skeletonization of volumetric objects," IEEE Trans. Vis. Comput. Graph. 5, 196-209 (1999).
6. A. Shahrokni, R. A. Zoroofi, and H. Soltanian-Zadeh, "A fast skeletonization algorithm for 3D elongated objects," Proc. SPIE 4322, 323-330 (2001).
7. H. Schirmacher, "Extracting graphs from three dimensional neuron datasets," Diploma thesis, Universite Erlangen-Nürnberg, 1998, available at http://www.mpi-sb.mpg.de/~htschirm/publ/
8. Y. Ge and J. M. Fitzpatrick. "On the generation of skeletons from discrete Euclidean distance maps," IEEE Trans. Pattern Anal. Mach. Intell. 18, 1055-1066 (1996).
9. K. Palagyi, "A 3-subiteration 3D thinning algorithm for extracting medial surfaces," Pattern Recogn. Lett. 23. 663-675 (2002).
10. F.Romero, L. Ros, and F. Thomas, "Fast skeletonization of spatially encoded objects," Proceedings of the 15th International Conference on Pattern Recognition, IEEE Comput. Soc., Los Alamitos, CA, Vol. 3, pp. 510-513.
11. G. Borgefors, I. Nystrom, and G. Sanniti di Baja, "Computing skeletons in three dimensions," Pattern Recogn. 32, 1225-1236 (1999).
12. C. Min Ma and M. Sonka, "A fully parallel 3D thinning algorithm and its applications," Comput. Vis. Image Underst. 5, 420-433 (1996).
13. D. Weian, S. S. Lyengar, and N. E. Brener, "Order independent homotopic thinning for binary and gray tone anchored skeletons," Pattern Recogn. Lett. 23, 663-675 (2002).
14. S. Bouix and K. Siddiqi, "Divergence-based medial surfaces," Lect. Notes Comput. Sci. 603-618 (2000).
15. I. Nystrom, G. Sanniti di Baja, and S. Svensson, "Curve skeletonization by junction detection in surface skeletons," 4th Workshop on Visual Form, IWVF4, proceedings, 2001, pp. 229-238.
16. D. S. Paik, C. F. Beaulieu, R. B. Jeffrey, G. D. Rubin, and S. Napel, "Automated flight path planning for virtual endoscopy," Med. Phys. 25. 629-637 (1998).
17. O. Cuisenaire, "Distance transformations: fast algorithm and applications to medical image processing," Ph.D. thesis. Universite Catholique de Louvain, Belgium, 1999.
18. T. Deschamps and L. D. Cohen, "Fast extraction of minimal paths in 3D images and applications to virtual endoscopy," Med. Image Anal 5, 281-299 (2001).
19. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis. 1, 321-331 (1987).
20. L. Cohen and R. Kimmel, "Global minimum for active contours models: a minimal path approach," Ceremade TR9612, 1996.
21. Y. Sato, S. Nakajima, N. Shiraga, H. Atsumi, S. Yushida, T. Koller, G. Gerig, and R. Kikinis, "Three dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images," Med. Image Anal 2, 143-168 (1998).
22. K. Krissian, G. Malandain, N. Ayache, R. Vaillant. and Y. Trousset, "Model-based detection of tubular structures in 3D images," Computer Vis. Image Underst. 80, 130-171 (2000).
23. D. L. Wilson and J. A. Noble, "Segmentation of cerebral vessels and aneurysms for MR angiography data," Lect. Notes Comput. Sci. 423-428 (1997).
24. V. Chatzis and I. Pitas. "A generalized fuzzy mathematical morphology and its application in robust 2-D and 3-D object representation," IEEE Trans. Image Process. 9, 1798-1810 (2000).
25. A. Datta, S. K. Parui, and B. B. Chaudhuri, "Skeletonization by a topology-adaptive self-organizing neural network," Pattern Recogn. 34, 617-629 (2001).
26. J. H. Chuang, C. H. Tsai, and M. C. Ko, "Skeletonization of threedimensional object using generalized potential field," IEEE Trans. Pattern Anal. Mach. Intell. 22, 1241-1251 (2000).
27. H. Soltanian-Zadeh, A. Shahrokni, and R. A. Zoroofi, "Voxel-coding method for qualification of vascular structure from 3D images," Proceedings of the SPIE Medical Imaging Conference, San Diego, CA, 2001, Vol. 4321, pp. 263-270.