Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds

Sarang C. Joshi; Michael I. Miller; Gary E. Christensen; Ayan Banerjee; Tom Coogan; Ulf Grenander

doi:10.1117/12.216420

11 August 1995 Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds

Sarang C. Joshi, Michael I. Miller, Gary E. Christensen, Ayan Banerjee, Tom Coogan, Ulf Grenander

Proceedings Volume 2573, Vision Geometry IV; (1995) https://doi.org/10.1117/12.216420
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Sarang C. Joshi, Michael I. Miller, Gary E. Christensen, Ayan Banerjee, Tom Coogan, and Ulf Grenander "Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds", Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); https://doi.org/10.1117/12.216420

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