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Morphometric synthesis

The morphometric synthesis of the 1990s exploits the principal warps - eigenfunctions (which are not scale free) of the bending energy matrix - as a basis in which to verily sphericity of the non-uniform part of a landmark-borne deformation and also to describe deviations from that sphericity that connote systematic factors of change at different spatial scales. That analysis was not multiscale. It was, in fact, conditioned on the actual landmark mean locations, but we often forgot to say that in our applications papers. The more appropriate statistic, which 1 hope will be found suited for routine applications to systematic data-sets, compares the observed variation instead to the noise model described earlier. If my guess is correct, both the search for characters and the... [Pg.75]

Bookstein, F.L. (1997b) Biometrics and brain maps the promise of the morphometric synthesis. In Neuroin-fomiatics An Overview of the Human Brain Project. Progress in Neuroinfomiatics (eds S. Koslow and M. Huerta), volume 1, Lawrence Erlbaumn, Mahweh, NJ, pp. 203-254. [Pg.81]

Bookstein, F.L. (1997c) Shape and the information in medical images A decade of the morphometric synthesis. [Pg.81]

Bookstein, F.L. (1993) A brief history of the morphometric synthesis. In Contributions to Morphometries (eds L.F Marcus, E. Bello and A. Garcia-Valdecasas), Museo Nacional de Ciendcias Naturales 8, Madrid,... [Pg.184]


See other pages where Morphometric synthesis is mentioned: [Pg.70]    [Pg.155]    [Pg.70]    [Pg.155]    [Pg.152]    [Pg.247]    [Pg.219]    [Pg.537]    [Pg.455]   
See also in sourсe #XX -- [ Pg.70 , Pg.155 ]




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