Abstract
The thin-plate spline, a general-purpose interpolant for labelled point data, ties the geometry of image deformation to the classic biometric algebra of quadratic forms. The technique thus helps not only in the production of biomedical atlases—averaged or normative images of particular structures or configurations of parts—but also in the understanding of specimen-by-specimen variability around those atlases. This report summarizes the statistics of thirteen landmark points in midsagittal MRI images of nine normal adult human brains, produces and evaluates averaged images with the aid of those statistics, and pursues some implications for stereotaxy, for region-tracing, and for the understanding of averaged image structures.
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© 1991 Springer-Verlag Berlin Heidelberg
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Bookstein, F.L. (1991). Thin-Plate splines and the atlas problem for biomedical images. 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/BFb0033763
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DOI: https://doi.org/10.1007/BFb0033763
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