Fully automatic 3D segmentation of coronary arteries based on mathematical morphology

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

Volumn , Issue , 2008, Pages 1059-1062

  Bouraoui, B ^a,b   Ronse, C ^a   Baruthio, J ^b   Passat, N ^a   Germain, Ph ^c  

^a Faculté de Médecine   (France)

^b Université de Strasbourg Faculté de Psychologie   (France)

^c UNIVERSITY HOSPITAL OF STRASBOURG   (France)

Author keywords

Anatomical knowledge; Coronary arteries; Hit or miss transform; Region growing; Segmentation

Indexed keywords

BLOOD VESSELS; TECHNICAL PRESENTATIONS; THREE DIMENSIONAL;

ANATOMICAL KNOWLEDGE; CORONARY ARTERIES; HIT-OR-MISS TRANSFORM; REGION-GROWING; SEGMENTATION;

MATHEMATICAL MORPHOLOGY;

EID: 51049111159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541182     Document Type: Conference Paper

References (11)

1. C. O'Callaghan et al., Stress and the Heart: Psychosocial Pathways to Coronary Heart Disease, Wiley, 2002.
2. C. Blondel, R. Vaillant, F. Devernay, G. Malandain, and N. Ayache, "Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography," in Computer Assisted Radiology and Surgery 2002, Proceedings. 2002, pp. 1073-1078, Springer.
3. J.S. Suri, K. Liu, L. Reden, and S. Laxminarayan, "A review on MR vascular image processing: Skeleton versus nonskeleton approaches: Part II," IEEE Transactions on Information Technology in Biomedicine, vol. 6, no. 4, pp. 338-350, 2002.
4. C. Kirbas and F. Quek, "A review of vessel extraction techniques and algorithms," ACM Computing Surveys, vol. 36, no. 2, pp. 81-121, 2004.
5. B. Bouraoui, C. Ronse, J. Baruthio, N. Passat, and Ph. Germain, "Graylevel hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries," in International Symposium on Mathematical Morphology 2007, Proceedings, 2007, vol. 2, pp. 23-24.
6. C. Lorenz, S. Renisch, T. Schlatholter, and T. Bulow, "Simultaneous segmentation and tree reconstruction of the coronary arteries in MSCT images," SPIE Medical Imaging: Physiology and Function: Methods, Systems, and Applications 2003, Proceedings, vol. 5031, pp. 167-177, 2003.
7. N. Passat, C. Ronse, J. Baruthio, J.-P. Armspach, C. Maillot, and C. Jahn, "Region-growing segmentation of brain vessels: An atlas-based automatic approach," Journal of Magnetic Resonance Imaging, vol. 21, no. 6, pp. 715-725, 2005.
8. P. Soille, Morphological Image Analysis, Springer-Verlag, Heidelberg, 2nd edition, 2003.
9. B. Naegel, N. Passat, and C. Ronse, "Grey-level hit-or-miss transforms - Part II: Application to angiographic image processing," Pattern Recognition, vol. 40, no. 2, pp. 648-658, 2007.
10. J. Fleureau, M. Garreau, A.I. Hernández, A. Simon, and D. Boulmier, "Multi-object and N-D segmentation of cardiac MSCT data using SVM classifiers and connectivity algorithm," in Computers in Cardiology 2006, Proceedings, 2006, vol. 33, pp. 817-820.
11. B. Naegel, C. Ronse, and L. Soler, "Using grey-scale hit-or-miss transform for segmenting the portal network of the liver," in Mathematical Morphology: 40 years on. Proceedings of the 7th International Symposium on Mathematical Morphology, C. Ronse, L. Najman, and E. Decencìere, Eds., Paris, France, April 2005, vol. 30 of Computational Imaging and Vision, pp. 429-440, Springer SBM.