Voxel-based similarity measures for medical image registration in radiological diagnosis and image guided surgery

Journal of Computing and Information Technology

Volumn 6, Issue 2, 1998, Pages 165-179

  Buzug, Thorsten M ^a   Weese, Jürgen ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

Digital subtraction angiography; Energy; Image guided surgery; Image registration; Pattern intensity; Similarity measure; Single modality

Indexed keywords

ANGIOGRAPHY; DIAGNOSIS; IMAGE REGISTRATION; IMAGE RESOLUTION; MEDICAL APPLICATIONS; PATIENT REHABILITATION; SURGERY;

DIGITAL SUBTRACTION ANGIOGRAPHY; ENERGY; IMAGE GUIDED SURGERY; PATTERN INTENSITY; SIMILARITY MEASURE; SINGLE MODALITY;

MEDICAL IMAGING;

EID: 0001509096     PISSN: 13301136     EISSN: 18463908     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. M. BRO-NIELSEN, (1997) Rigid registration of CT, MR and Cryosection images using a GLCM framework. In Proc. of CVRMed/MRCAS'97 (J. Troccaz, E. Grimson and R. Mösges Eds.) Lecture Notes in Computer Science 1205, pp. 171-180, Springer, Berlin.
2. J. BUURMAN AND F. A. GERRITSEN, (1997) European Applications in Surgical Interventions in Computer Assisted Radiology. In Proc. of CAR'96 (H. U. Lemke, M. W. Vannier, K. Inamura and A. G. Farman, Eds.) p.677-681, Elsevier, Amsterdam.
3. T. M. BUZUG, J. WEESE, C. FASSNACHT AND C. LORENZ, (1996) Using an entropy similarity measure to enhance the quality of DS A images with an algorithm based on template matching. In Proc. ofVBC'96 (K. H. Höhne, R. Kikinis, Eds.) Lecture Notes in Computer Science 1131, pp. 235-240, Springer, Berlin.
4. T. M. BUZUG, J. WEESE, C. FASSNACHT AND C. LORENZ, (1997) Image registration: Convex weighting function for histogram-based similarity measures. In Proc. of CVRMed/ MRCAS'97 (J. Troccaz, E. Grimson and R. Mösges, Eds.) Lecture Notes in Computer Science 1205, pp. 203-212, Springer, Berlin.
5. W. A. CHILCOTE, M. T. MODIC, W. A. PAVLICEK, (1981) Digital subtraction angiography of the carotid arteries: A comparative study in 100 patients. Radiology 139, 287.
6. A. COLLIGNON, D. VANDERMEULEN, P. SUETENS AND G. MARCHAL, (1995a) 3D multimodality medical image registration using feature space clustering. In Proc. of CVRMed'95 (N. Ayache, Ed.) Lecture Notes in Computer Science 905, pp. 195-204, Springer, Berlin.
7. A. COLLIGNON, F. MAES, D. DELAERE, D. VANDER-MEULEN, P. SUETENS AND G. MARCHAL, (1995b) Automated multimodality image registration using information theory. In Proc. of IPMI'95 (Y. Bizais, C. Barillot, R. di Paola, Eds.) pp. 263-274, Klüver, Dordrecht.
8. P. A. VAN DEN ELSEN, E.-J. D. POL AND M. A. VIERGEVER, (1993) Medical image matching - A review with classification, IEEE Eng. In Medicine and Biology, 26-39.
9. J. M. FITZPATRICK, D. R. PICKENS, J. J. GREFENSTETTE, R. R. PRICE AND A. E. JAMES, (1987) Technique for automatic motion correction in digital subtraction angiography. Optical Engineering 26, 1085-1093.
10. J. M. FITZPATRICK, J. J. GREFENSTETTE, D. R. PICKENS, M. MAZER AND J. M. PERRY, (1988) A system for image registration in digital subtraction angiography. In Information processing in medical imaging (C. N. de Graaf and M. A. Viergever Eds.) pp. 415-435, Plenum Press, New York.
11. J. M. FITZPATRICK, D. R. PICKENS, H. CHANG, Y. GE AND M. ÖZKAN, (1989) Geometrical transformations of density images. SPIE 1137, 12-21.
12. R. M. HARALICK, K. SHANMUGAM AND I. DINSTEIN, (1973) Textural features for image classification. IEEE Trans. Systems, Man, and Cybernetics, SMC-3, 610.
13. R HUA AND I. FRAM, (1993) Feature-based image registration for digital subtraction angiography. SPIE 1898, 24-31.
14. A. N. KOLMOGOROV, (1941) Local structure of turbulence in noncompressible fluid with high Reynolds number. Dokl. Acad. Sci. USSR 30, 299.
15. S. LAVALLEE, J. TROCCAZ, R SAUTOT, B. MAZIER, R CINQUIN, R MERLOZ AND J.-P. CHIROSSEL, (1996) Computer-assisted spinal surgery using anatomy-based registration. In: Computer-Integrated Surgery (R. H. Taylor, S. Lavallee, G. C. Burdea, R. Mosges, Eds.) pp. 425-450, MIT Press, London.
16. W. K. PRATT, (1974) Correlation techniques of image registration. IEEE Trans, on AES, AES-10, 353-358.
17. W. H. PRESS, B. P. FLANNERY, S. A. TEUKOLSKY AND W. T. VETTERLING, (1990) Numerical Recipes in C. Cambridge University Press, Cambridge.
18. A. ROSENFELD, AND A. KAK (1982) Digital picture processing, 2nd ed. Academic Press, New York.
19. E. O. SCHULZ-DUBOIS AND I. REHBERG, (1981) Structure function in lieu of correlation function. Appl. Phys. 24, 323-329.
20. M. SVEDLOW, C. D. MCGILLEM AND P. E. ANUTA, (1978) Image registration: Similarity measure and preprocessing method comparison. IEEE Trans. AES-14, 141-149.
21. L. V. TRAN AND J. SKLANSKY, (1992) Flexible mask subtraction for digital angiography. IEEE Trans, on Medical Imaging 11, 407-415.
22. A. VENOT AND V. LECLERC, (1984) Automated correction of patient motion and gray values prior to subtraction in digitized angiography. IEEE Trans, on Med. Im. 4, 179-186.
23. A. VENOT, J. F. LEBRUCHEC AND J. C. ROUCAYROL, (1984) A new class of similarity measures for robust image registration. Comp. Vis. Im. Proc. 28, 176-184.
24. A. VENOT, J. Y. DEVAUX, M. HERBIN, J. F. LEBRUCHEC, L. DUBERTRET, Y. RAULO AND J. C. ROUCAYROL, (1988) An automated system for the registration and comparison of photographic images in medicine. IEEE Trans. Medical Imaging 7, 298-303.
25. J. WEESE, T. M. BUZUG, C. LORENZ AND C. FASSNACHT, (1997a) An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images. In Proc. of CVRMed/MRCAS'97 (J. Troccaz, E. Grimson and R. Mosges, Eds.) Lecture Notes in Computer Science 1205, pp. 119-128, Springer, Berlin.
26. J. WEESE, G. P. PENNEY, T. M. BUZUG, C. FASSNACHT AND C. LORENZ, (1997b), 2D/3D registration of pre-operative CT images and intra-operative X-ray projections for image guided surgery. In Proc. of the CAR'97 (H. U. Lemke, M. W. Vannier, K. Inamura and A. G. Farman, Eds.) pp. 833-838, Elsevier, Amsterdam.
27. K. J. ZUIDERVELD, B. M. TER HAAR ROMENY AND W. TEN FIOVE, (1989a) Fast techniques for automatic local pixel shift and rubber sheet masking in digital subtraction angiography. In: The formation, handling and evaluation of medical images (A. Todd-Pokropek and M. A. Viergever, Eds.) p. 667, Springer, Berlin.
28. K. J. ZUIDERVELD, B. M. TERHAAR ROMENY AND MAX A. VIERGEVER, (1989b) Fast rubber sheet masking for digital subtraction angiography. SPIE 1137, Science and Engineering of Medical Imaging, 22.