Automatic generation of 3D vessels model using vessels image matching based on adaptive control points

Proceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology

Volumn , Issue , 2007, Pages 265-270

  Lee, Na Young ^a  

^a Korea Atomic Energy Research Institute   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ANGIOGRAPHY; CHLORINE COMPOUNDS; DIAGNOSIS; DISEASE CONTROL; HEALTH; IMAGE CODING; IMAGE MATCHING; IMAGING TECHNIQUES; INFORMATION TECHNOLOGY; INTERPOLATION; LINGUISTICS; MEDICAL IMAGING; STANDARDS; TECHNOLOGY; TWO DIMENSIONAL;

3-D MODELING; ADAPTIVE CONTROL; AUTOMATIC GENERATION; CONTROL POINTS; CORNER POINTS; CORONARY ANGIOGRAPHY; CORONARY ARTERY DISEASES; CORONARY TREE; INTERNATIONAL CONFERENCES; INTERPOLATION FUNCTIONS; LANGUAGE PROCESSING; MEDICAL DIAGNOSIS; THIN-PLATE SPLINE; WEB INFORMATION;

THREE DIMENSIONAL;

EID: 50049114448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ALPIT.2007.110     Document Type: Conference Paper

References (12)

1. C. Lorenz, S. Renisch, S. Schlatholter, T. Bulow, SPIE, "Simultaneous Segmentation and Tree Reconstruction of the Coronary Arteries in MSCT Images," Int. Symposium Medical Imaging, San Diego, Proc. SPIE Vol. 5032, (2003) pp. 167-177.
2. N. Y. Lee, G. Y. Kim, and H. I. Choi, "Automatic Generation Technique of Three-Dimensional Model Corresponding to Individual Vessels," ICCSA 2006, LNCS 3984, (2006), pp. 441-449.
3. C. Harris and M. Stephens, "A Combined Corner and Edge Detector," Proceedings of the Fourth Alvey Vision Conference, Manchester, (1988), pp. 147-151.
4. Jianbo Shi, Carlo Tomasi, "Good features to track", IEEE Conference on CVPR Seattle(1994), pp. 593-600.
5. Y. Bentoutou, et. al, "An invariant approach for image registration in digital subtraction angiography", Pattern Recognition(2002), pp. 34-48.
6. C. Schmid, R. Mohr, and C. Bauckhage, "Evaluation of interest point detectors," International Journal of Computer Vision, (2000), pp. 151-172.
7. B. G. Brown, E. Bolson, M. Frimer, and H. Dodge, "Quantitative coronary arteriography estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation", Circulation, vol. 55,(1977), pp. 329-337.
8. P. de Feyter, J. Vos, J. Reiber, and P. Serruys, "Value and limitations of quantitative coronary angiography to assess progression and regression of coronary atherosclerosis", in Advances in Quantitative Coronary Arteriography(1993), pp. 255-271.
9. J. Ross et al., "Guidelines for coronary angiography", Circulation, vol.76,(1987).
10. F.L. Bookstein, Principal warps: thin-plate splines and the decomposition of deformations, IEEE-PAMI 11(1989), pp. 567-585.
11. J. Flusser, T.Suk, Degraded image analysis: an invariant approach, IEEE Trans. Pattern Anal. Mach. Intell(1998), pp. 590-603.
12. A. Venot, J.F. Lebruchec, J.C Roucayrol, "A new class of similarity measures for robust image registration", Comput. Vision Graph. Image Process (1984), pp. 176-184.