Abstract
In many circumstances the clinical interpretation of an imaging from a single image modality is inadequate. A number of registration techniques have been introduced in the literature in order to correlate the clinical information obtained from two different imaging modalities. All methods based on some distance measure suffer from the presence of multiple local minima when minimization algorithms are used to reduce the distance between two edges, or surfaces. A multi-resolution technique has been developed in conjunction with a sequentially improved distance function in order to register sets of MRI, PET, and SPECT images. A global search is initially performed on coarse resolution 3D surface images of each modality where a variable threshold is used to select any likely match location for finer resolution levels. An adaptive termination of the computation of the distance function is possible due to the sequential nature of its evaluation. The superimposed images of MRI and HMPAO images, displayed as slices and in 3-D, were clinically helpful.
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References
Abu-Mostafa Y S, Psaltis D (1984). Recognition aspects of moment invariants. IEEE Trans. Pattern Anal. Mach. Intel. Vol.6: 698–706
Andrus J, Campbell C (1975). Digital image registration method using boundary maps: IEEE Trans. on Comp. Vol.19:935–940.
Barnea D, Silverman H (1972). A class of algorithm for fast digital image registration. IEEE Trans. on Comp. Vol. C21, No.2: 179–186
Bhanu D, Faugeras O (1984), Shape matching of two dimensional objects. IEEE Trans. Pat. Anal. Mach. Intel. Vol.6: 137–155
Cappelletti J D, Rosenfeld A (1989). Three-Dimensional boundary following: Comp. Vision Grap. and image processing, Vol.48: 80–92.
Chen C-Tu, Pelizzari C A, Chen G T Y (1988). Correlating Functional Nuclear Medicine Images with Structural CT or MR Images: Proceedings of 1988 meeting of Asian Society of Nuclear Medicine.
Hu M K (1962). Visual pattern recognition by moment invariants: IRE Trans.on Information Theory. Vol.8: 179–187
James F (1980). Monte carlo theory and practice: Rep. Prog. Phys. Vol.43: pp. 1173–1189.
Kall B A, Kelly P J (1985). Cross registration of points and lesion volumes from MR and CT: IEEE 7th annual conference of the engineering in medicine and biology society. 937–942
Maitra S (1979). Moment invariants: Proc.IEEE. Vol.67: 697–699
Mandava V R, Fitzpatrick J M (1989). Adaptive search space scaling in digital image registration: IEEE Trans. on Med. Imag. Vol.8, No.3: 251–262
Medioni S, Nevatia R (1984). Matching images using linear features: IEEE Trans. Pattern Anal. Mach. Intel. Vol.6:675–685.
Merickel M, Mc Carthy M (1985). Registration of contours for 3D reconstruction: IEEE 7th annual conference of the engineering in medicine and biology society. 616–620
Mitiche A, Aggarwal J K (1983). Contour registration by shape-specific points for shape matching. Comp. Vision Grap. and Image Processing. Vol.22: 396–408
Nagel R N, Rosenfeld A (1972). Ordered search techniques in template matching: Proc. IEEE. Vol.60: pp.242–244.
Pelizzari C A, Chen G T Y (1987). Registration of multiple diagnostic imaging scans using surface fitting: Proceeding of the 9th ICCR, pp.437–440.
Pelizzari C A, Chen G T Y (1989). Accurate Three-Dimensional registration of CT, PET and NMR Images of the brain: J. of Comp. Assis. Tomog. Jan 1989.
Powell M.J.D (1964). An efficient method of finding the minimum of a function of several variables without calculating derivatives: The Comp. J. Vol.7: 155–162
Price K, Reddy R (1979). Matching segments of image: IEEE Trans. Pattern Anal. Mach. Intel. Vol.1: 110–116.
Rosenfeld A, Vanderbrug G J (1977). Coarse-Fine template matching, IEEE Trans on Sys. Man and Cybernetics. Feb 1977: 104–107.
Svedlow M, Gillem C D (1978). Image registration: Similarity measure and preprocessing method comparisons. IEEE Trans. Aerospace. Elec. Sys. Vol.14: 141–149
Vanderbrug G J, Rosenfeld A (1977). Two-stage template matching, IEEE Trans. on Comp. Apr. Vol.C26, No.4:384–392.
Wong R Y, Hall E L (1978). Sequential Hierarchical Scene Matching, IEEE Trans. on Comp. Apr 1978, Vol C27,No.4:359–366.
Wong R Y (1978). Sequential scene matching using edge features, IEEE. Trans. on Aerospace and Elec. Sys. Jan 1978, Vol.Aes14, No.1: 128–140
Wong R Y, Hall E L (1979). Performance comparison of scene matching techniques. IEEE Trans. on Pattern. Anal. & Mach. Intel. Jul 1979. Vol.PAMI-1, No.3: 325–330
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© 1991 Springer-Verlag Berlin Heidelberg
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Oghabian, M.A., Todd-Pokropek, A. (1991). Registration of brain images by a multi-resolution sequential method. In: Colchester, A.C.F., Hawkes, D.J. (eds) Information Processing in Medical Imaging. IPMI 1991. Lecture Notes in Computer Science, vol 511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033751
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DOI: https://doi.org/10.1007/BFb0033751
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