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Proceedings Paper

Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds
Author(s): Sarang C. Joshi; Michael I. Miller; Gary E. Christensen; Ayan Banerjee; Tom Coogan; Ulf Grenander
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Paper Abstract

In this paper we present a coarse-to-fine approach for the transformation of digital anatomical textbooks from the ideal to the individual that unifies the work on landmark deformations and volume based transformation. The Hierarchical approach is linked to the Biological problem itself, coming out of the various kinds of information which is provided by the anatomists. This information is in the form of points, lines, surfaces and sub-volumes corresponding to 0, 1, 2, and 3 dimensional sub-manifolds respectively. The algorithm is driven by these sub- manifolds. We follow the approach that the highest dimensional transformation is a result from the solution of a sequence of lower dimensional problems driven by successive refinements or partitions of the images into various Biologically meaningful sub-structures.

Paper Details

Date Published: 11 August 1995
PDF: 12 pages
Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); doi: 10.1117/12.216420
Show Author Affiliations
Sarang C. Joshi, Washington Univ. (United States)
Michael I. Miller, Washington Univ. (United States)
Gary E. Christensen, Mallinckrodt Institute of Radiology/Washington Univ. Medical Ctr. (United States)
Ayan Banerjee, Washington Univ. (United States)
Tom Coogan, Washington Univ. School of Medicine (United States)
Ulf Grenander, Brown Univ. (United States)

Published in SPIE Proceedings Vol. 2573:
Vision Geometry IV
Robert A. Melter; Angela Y. Wu; Fred L. Bookstein; William D. K. Green, Editor(s)

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