Abstract
This paper deals with a new approach of registration in multimodal imaging. Modalities involved are Digital Subtracted Angiography (DSA, 2D) and Magnetic Resonance Angiography (MRA, 3D). Our approach is an hybrid one, mixing feature and intensity based approaches. This approach is based on the extraction of a anatomical referential common to both MRA and DSA. This step appears to be the “geometric-like” aspect. Then, a high level optimization scheme gives the best registration, using an iconic similarity measure. Several ways of matching planar and tomographic imaging are proposed through superimposition, point to point matching or 3D data fusion. The results obtained prove the methods efficiency in a clinical context.
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Keywords
- Magnetic Resonance Angiography
- Digital Subtract Angiography
- Maximum Intensity Projection
- Data Fusion
- Maximum Intensity Projection Image
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Brown, L.G.: A survey of image registration techniques. ACM Computing Surveys 24(4), 325–376 (1992)
Maintz, J.B.A., Viergever, M.A.: A survey of medical image registration. Medical Image Analysis, vol 2(1), 1–36 (1998)
Gibon, D., Coste, E., Vial, S., Vasseur, C., Rousseau, J.: Stereotactic localization in medical imaging. A technical and methodological review. J. Rad. Surger. 2(3), 167–180 (1999)
Penney, G.P., Weese, J., Little, J.A., Desmedt, P., Hill, D.L., Hawkes, D.J.: A comparison of similarity measures for use in 2D-3D medical image registration. IEEE TMI 17(4), 586–595 (1998)
Penney, G.P.: Registration of tomographic images to X-Ray projections for use in image guided interventions. PhD thesis of the University College of London (2000)
Weese, J., Buzug, T.M., Lorenz, C., Fassnacht, C.: An approach to 2D/3D registration of a vertebra in 2D X-Ray fluoroscopies with 3D CT images. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 119–128. Springer, Heidelberg (1997)
Hipwell, J.H., Penney, G.P., Cox, T.C., Byrne, J.V., Hawkes, D.J.: 2D-3D Intensity Based Registration of DSA and MRA – A Comparison of Similarity Measures. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2489, pp. 501–508. Springer, Heidelberg (2002)
Hamadeh, A., Cinquin, P.: Kinematic study of lumbar sine using functional radiographies and 3D/2D registration. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 109–118. Springer, Heidelberg (1997)
Feldmar, J., Malandain, G., Ayache, N., Fernàndez-Vidal, S., Maurincomme, E., Trousset, Y.: Matching 3D MR Angiography data and 2D X-Ray Angiograms. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 129–138. Springer, Heidelberg (1997)
Betting, F., Feldmar, J.: 3D/2D projective registration of anatomical surfaces with their projections. In: XIV International Conference on Information Processing in Medical Imaging, pp. 275–286 (1995)
Mc Laughlin, R.A., Hipwell, J., Penney, G.P., Rhode, K., Chung, A., Noble, J.A., Hawkes, D.J.: Intensity-Based Registration Versus Feature-Based Registration for Neurointerventions. In: Medical Image Understanding and Analysis, Lecture notes in Proceedings of MIUA 2001 (2001)
Vial, S., Gibon, D., Vasseur, C., Rousseau, J.: Volume delineation by fusion of fuzzy set obtained from multiplanar tomographic images. IEEE TMI 20(12), 1362–1372 (2001)
Salazar, R., Toral, R.: Simulated Annealing using Hybrid Monte Carlo. Journal of Statistical Physics 89 (1997)
Masutani, Y., Dohi, T., Yamane, F., Iseki, H., Takakura, K.: Interactive virtualised display system for intravascular neurosurgery. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 428–435. Springer, Heidelberg (1997)
Vermandel, M., Kulik, C., Leclerc, X., Rousseau, J., Vasseur, C.: Matching of projection imaging and tomographic imaging. In: Lect. Note. in Proc. SPIE Medical Imaging, vol. 4681, pp. 55–64 (2002)
Coste, E., Vasseur, C., Rousseau, J.: 3D reconstruction of the cerebral arterial network. Medical Physics 26(9), 1783–1793 (1999)
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Vermandel, M., Betrouni, N., Palos, G., Gauvrit, JY., Vasseur, C., Rousseau, J. (2003). Registration, Matching, and Data Fusion in 2D/3D Medical Imaging: Application to DSA and MRA. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_95
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DOI: https://doi.org/10.1007/978-3-540-39899-8_95
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