Local Orientation Smoothness Prior for Vascular Segmentation of Angiography

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

Volumn 3022, Issue , 2004, Pages 353-365

  Wong, Wilbur C K ^a   Chung, Albert O S ^a   Yu, Simon C H ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANGIOGRAPHY; COMPUTER VISION; DIAGNOSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; MAXIMUM LIKELIHOOD;

ADAPTIVE REGULARIZATION; ARTERIAL DISEASE; LOCAL ORIENTATIONS; MANUAL SEGMENTATION; MARKOV RANDOM FIELD MODEL; MULTI-LEVEL LOGISTICS; NUMERICAL PHANTOMS; VASCULAR SEGMENTATIONS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 35048841301     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24671-8_28     Document Type: Article

References (24)

1. Suri, J.S., Liu, K., Reden, L., Laxminarayan, S.: A review on MR vascular image processing algorithms: Acquisition and prefiltering: Part I. IEEE Trans. Inform. Technol. Biomed. 6 (2002) 324-337
2. Wilson, D.L., Noble, J.A.: An adaptive segmentation algorithm for time-of-flight MRA data. IEEE Trans. Med. Imag. 18 (1999) 938-945
3. Chung, A.C.S., Noble, J.A., Summers, P.: Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms. MedIA 6 (2002) 109-128
4. Lorigo, L.M., Faugeras, O., Grimson, W.E.L., Keriven, R., Kikinis, R., Westin, C.F.: Co-dimension 2 geodesic active contours for MRA segmentation. In: IPMI. (1999) 126-139
5. Wang, K.C., Dutton, R.W., Taylor, C.A.: Improving geometric model construction for blood flow modeling. IEEE Eng. Med. Biol. Mag. 18 (1999) 33-39
6. Westin, C.F., Lorigo, L.M., Faugeras, O., Grimson, W.E.L., Dawson, S., Norbash, A., Kinkinis, R.: Segmentation by adaptive geodesic active contours. In: MICCAI. (2000) 266-275
7. McInerney, T., Terzopoulos, D.: Medical image segmentation using topologically adaptable snakes. In: CVRMed. Volume 905 of LNCS., Springer-Verlag Berlin (1995) 92-101
8. Masutani, Y., Schiemann, T., Hohne, K.H.: Vascular shape segmentation and structure extraction using a shape-based region-growing model. In: MICCAI. (1998) 1242-1249
9. Parker, D.L., Chapman, E, Roberts, J.A., Alexander, A.L., Tsuruda, J.S.: Enhanced image detail using continuity in the MIP Z-buffer: Applications to magnetic resonance angiography. JMRI 11 (2000) 378-388
10. Aylward, S., Bullitt, E.: Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction. IEEE Trans. Med. Imag. 21 (2002) 61-75
11. Krissian, K., Maladain, G., Vaillant, R., Trousset, Y., Ayache, N.: Model-based multiscale detection of 3D vessels. In: CVPR. (1998) 722-727
12. Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., Gerig, G., Kikinis, R.: 3D multi-scale line filter for segmentation and visialization of curvilinear structures in medical images. MedIA 2 (1998) 143-168
13. Fung, Y.C.: Biomechanics: Circulation. Second edn. Springer-Verlag (1996)
14. Barash, D.: A fundamental relationship between bilateral filtering, adaptive smoothing, and the nonlinear diffusion equation. PAMI 24 (2002) 844-847
15. Weickert, J.: Coherence-enhancing diffusion filtering. IJCV 31 (1999) 111-127
16. Mignotte, M., Collet, C., Perez, P., Bouthemy, P.: Sonar image segmentation using an unsupervised hierarchical MRF model. IEEE Trans. Image Process. 9 (2000) 1216-1231
17. Cui, Y.T., Huang, Q.: Character extraction of license plates from video. In: CVPR. (1997) 502-507
18. Li, S.Z.: Markov random field modeling in image analysis. Springer-Verlag Tokyo (2001)
19. Besag, J.: Spatial interaction and the statistical analysis of lattice systems (with discussion). JRSS, Series B (Methodological) 36 (1974) 192-236
20. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: ICCV. (1998) 839-846
21. Knutsson, H.: Representing local structure using tensors. In: The 6th Scandinavian Conf. on Image Analysis. (1989) 244-251
22. Granlund, G., Knutssan, H.: Signal processing for computer vision. Kluwer Academic Publishers (1995)
23. Besag, J.: On the statistical analysis of dirty pictures. JRSS, Series B (Methodo-logical) 48 (1986) 259-302
24. Leemput, K.V., Maes, F., Vandermeulen, D., Colchester, A., Suetens, P.: Automated segmentation of MS lesions from multi-channel MR images. In: MICCAI. (1999) 11-21