Abstract
Neuroimaging of the human brain has opened the way for a genuine understanding of human cognition; but the circuitry and cellular basis of the extraordinary information processing capacity of humans can be addressed only in experimental animals such as nonhuman primates by using the 2-DG autoradiographic method. This method requires sacrifice of the animal and sectioning of the brain into serial sections followed by production of autoradiographs of individual brain sections which are not in register. We have developed a new automated alignment method to reconstitute the autoradiographs. Our alignment method automatically finds the 2-D spatial mapping and the homologies between the slices and robustly accounts for the natural and artifactual differences by applying the powerful mechanism of outlier rejection adapted from the robust statistics literature.
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© 1996 Springer-Verlag Berlin Heidelberg
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Rangarajan, A., Mjolsness, E., Pappu, S., Davachi, L., Goldman-Rakic, P.S., Duncan, J.S. (1996). A robust point matching algorithm for autoradiograph alignment. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046965
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DOI: https://doi.org/10.1007/BFb0046965
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