A novel approach for detection of tubular objects and its application to medical image analysis

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

Volumn 5096 LNCS, Issue , 2008, Pages 163-172

  Bauer, Christian ^a   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; PATTERN RECOGNITION; SEMICONDUCTOR DOPING; TUBES (COMPONENTS); VECTORS; VORTEX FLOW;

CENTERLINES; CONVENTIONAL TUBES; DATASETS; EDGE-PRESERVING; GRADIENT INFORMATIONS; GRADIENT VECTOR FLOWS; GRADIENT VECTORS; HIGH ROBUSTNESSES; IMAGE NOISES; LINEAR SCALES; MEDICAL IMAGE ANALYSES; MEDICAL IMAGES; MULTIPLE SCALES; SINGLE TUBES; TUBULAR OBJECTS; VECTOR FIELDS;

OBJECT RECOGNITION;

EID: 54249138766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69321-5_17     Document Type: Conference Paper

References (10)

1. Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130-137. Springer, Heidelberg (1998)
2. Krissian, K., Malandain, G., Ayache, N., Vaillant, R., Trousset, Y.: Model-based detection of tubular structures in 3D images. Computer Vision and Image Understanding 80(2), 130-171 (2000)
3. Pock, T., Beichel, R., Bischof, H.: A novel robust tube detection filter for 3d centerline extraction. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540. Springer, Heidelberg (2005)
4. Bennink, H.E., van Assen, H.C., ter Wee, R., Spaan, J.A.E., ter Haar Romeny, B.M.: A novel 3D multi-scale lineness filter for vessel detection. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 436-443. Springer, Heidelberg (2007)
5. Lorenz, C., Carlsen, I.C., Buzug, T.M., Fassnacht, C., Weese, J.: Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2d and 3d medical images. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 233-242. Springer, Heidelberg (1997)
6. Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., Gerig, G., Kikinis, R.: Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. MIA 2(2), 143-168 (1998)
7. Lindeberg, T.: Edge detection and ridge detection with automatic scale selection. In: CVPR 1996, Washington, DC, USA, p. 465. IEEE Computer Society, Los Alamitos (1996)
8. Xu, C., Prince, J.L.: Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 7(3), 359-369 (1998)
9. Krissian, K., Farneback, G.: Building reliable clients and servers. In: Leondes, C.T. (ed.) Medical Imaging Systems Technology: Methods in Cardiovascular and Brain Systems, World Scientific Publishing Co., Singapore (2005)
10. Aylward, S., Bullit, E.: Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction. IEEE Transactions on Medical Imaging 21(2), 61-75 (2002)