Spatio-temporal registration in coronary angiography

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2003, Pages 584-587

  Gu, J ^a,b   Toumoulin, C ^b   Shu, H ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Coronary angiography; Feature based method; Simulated annealing; Spatio temporal registration; Thin plate spline

Indexed keywords

BLOOD VESSELS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; INTERPOLATION; MATHEMATICAL TRANSFORMATIONS; SIMULATED ANNEALING;

APATIO-TEMPORAL REGISTRATION; CORONARY ANGIOGRAPHY; FEATURE-BASED METHODS; THIN-PLATE-SPLINE;

ANGIOGRAPHY;

EID: 1542362435     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Coatrieux J.L., Toumoulin C., Computational vision and structural modelling in cardiac vascular network reconstruction, Medical Imaging Processing: from pixel to structure, Edited by Yves Goussard, Editions de l'école politechnique de Montreal, 1998, pp 83-109
2. S-Y. J. Chen, J.D. Caroll, J.C. Messenger,"Quantitative analysis of reconstructed 3-D Coronary arterial tree and intracoronary devices", IEEE Transaction on Medical Imaging, 2002, 21(7), pp 724-740
3. Sun Y., Automated identification of vessel contours in coronary arteriograms by an adaptive tracking algorithm, IEEE Transactions on Medical Imaging, 1989, 8(1), pp 78-88.
4. Toumoulin C., Collorec R., Coatrieux J.L., Vascular network segmentation in subtraction angiograms: a comparative study, Medical Informatics, 1990, 15 (4), pp 333-341.
5. Ruan S., Bruno A., Coatrieux J.L., Three dimensional motion and reconstruction of coronary arteries from biplane cineangiography, Image and vision computing, 1994,12(10), pp 683-689
6. Coatrieux J-L., Garreau M., Collorec R., Roux C., Computer Vision Approaches for the Three Dimensional Reconstruction of Coronary Arteries: Review and Prospects, Critical Reviews in Biomedical Engineering, 1994, 22,(1), pp 1-38
7. A. Sarwal, A. P. Dhawan,"Three dimensional reconstruction of coronary arteries from two views", Computer methods and programs in Biomedicine, 2001, 65, pp 25-43
8. C. Chalopin, G. Finet, I. E. Magnin,"Modeling the 3-D coronary tree for labeling purposes", Medical Image Analysis, 2001, 5, pp 301-315
9. F. Pla, J.A. Marchand,"Matching feature points in image sequences through a region-based method", Computer Vision and Image Understanding, 1997, 66(3), pp 271-285
10. Y. Caspi, M. Irani,"Spatio-temporal alignment of sequences", IEEE Transaction on Pattern Analysis and Machine Intelligence, 2002, 24(11), pp 1409-1424
11. Y. Bentoutou, N. Taleb, M. Chikr El Mezouar, M. Taleb, L. Jetto, "An invariant approach for image registratio in digital subtraction angiography, Pattern recognition, 2002, 35, pp 2853-2865
12. H. Lester, S. R.Arridge:"A survey of hierarchical non-linear medical image registration", Pattern recognition, 32, 1999, pp. 129-149
13. J.B.A Maintz, M.A. Viergever: "A survey of medical image registration", Medical Image Analysis, 2(1), 1998, pp1-36
14. K-W. Cheung, D-Y. Yeung, R. T. Chin,"On deformable models f[or visual pattern recognition", Pattern recognition, 2002, 35, pp 1507-1526
15. P. R. Andresen, M. Nielsen: "Non-rigid registration by geometry-constrained diffusion", Medical Image Analysis, 5(2), 2001, pp81-88
16. D. Suter, F. Chen,"Left ventricular motion reconstruction based on elastic vector splines", IEEE Transactions on Medical Imaging, 2000, 19(4), pp. 295-305
17. B.C. Vemuri, S. Huang, S. Sahni, C.M. Leonard, C. Mohr, R. Gilmore, J. Fitzsimmons,"An efficient motion estimator with application to medical image registration", Medical Image Analysis, 1998, 2(1), pp 79-98
18. H.J.. Johnson, G.E. Christensen: "Consistent landmark and intensity-based image registration", IEEE Trans. On Med. Imaging, 21(5), 2002, pp. 450-461
19. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, P. Suetens,"Multimodality image registration by maximization of mutual information", IEEE Transactions on Medical Imaging; 16(2), pp 187-198
20. D. Rueckert, M.J. Clarkson, D.L.G. Hill, D.J. Hawkes, "Non-rigid registration using higher-order mutual, information", in Medical Imaging, Image Processing, K.M. Hanson, Ed. 2000, vol 3979 of Proc SPIE, SPIE Press, Bellingham, WA
21. Y.T. Wu, T. Kanade, C.C. Li, J. Cohn,"Image registration using wavelets-based motion model", International Journal of Computer Vision, 2000, 38(2), pp 129-152
22. A.A. Amini, Y. Chen, D. Abendschein: "Comparison of landmarks-based and curved-based Tthin-plate spline for analysis of left-ventricular motion from tagged MRI. In Proc. Of MICCAI'99, Volume 1679 of LNCS, Cambridge, UK. Spri,ger, 1999, pp 498-507
23. F.L. Bookstein:"Principal warps: Thin-plate spline and the decomposition of deformations", IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11 (6), pp 567-585
24. K. Rohr, H.S. Stiehl, R. Sprengel, T.M. Buzug, J, Weese, M.H. Kuhn,"landmark-based elastic registration using approximating thinplate splines", IEEE Transaction on Medical Imaging, 2001, 20(6), pp 526-534
25. C. Toumoulin, J. Brieva, J-J. Bellanger," String Matching Techniques for High Level Primitive Formation in 2-D Vascular Imaging", IEEE Transaction on Information and Technology in Biomedicine, in Press,