Conference proceeding
Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds
Proceedings of SPIE, Vol.2573(1), pp.278-289
Vision Geometry IV
08/11/1995
DOI: 10.1117/12.216420
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.
Details
- Title: Subtitle
- Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds
- Creators
- Sarang C Joshi - University of WashingtonMichael I Miller - University of WashingtonGary E Christensen - University of WashingtonAyan Banerjee - University of WashingtonTom Coogan - Washington University in St. LouisUlf Grenander - Brown University
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.2573(1), pp.278-289
- Conference
- Vision Geometry IV
- DOI
- 10.1117/12.216420
- ISSN
- 0277-786X
- eISSN
- 1996-756X
- Language
- English
- Date published
- 08/11/1995
- Academic Unit
- Holden Comprehensive Cancer Center; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Advanced Pulmonary Physiomic Imaging Laboratory; Iowa Technology Institute; Radiation Oncology
- Record Identifier
- 9984197412102771
Metrics
2 Record Views