Tutorial on Neuromorphometry
Date and time
1 October 2006, 1:30 p.m.-5:30 p.m.
Venue
IT University of Copenhagen, Lecture Room 2A12
Description
This tutorial will survey contemporary approaches to quantify and map the imaged anatomy of the brain in health and disease. Specific studies will be presented, with each serving as a basis for introducing different state-of-the-art methods in computational anatomy. Discussions will highlight open issues and future avenues for research in neuromorphometry. Although the emphasis will be on neuroimaging, a majority of the methods apply to images of other structures and organ systems.
Programme
| 13:30-14:15 | Introduction by
Colin Studholme, University of California, San Francisco
- Primer on neuroanatomy
- Example brain mapping studies
- Voxel based morphometry and related methods
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| 14:30-15:30 | Structure-specific geometrial approaches by
Paul Yushkevich, University of Pennsylvania
- Tissue classification
- Active contour, Level sets
- Point distribution models, Active shape and appearance models
- Skeletonization based analyses
- Medial Representation
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| 15:45-16:30 | Whole-brain geometrical approaches by
Brian Avants, University of Pennsylvania
- Large deformation diffeomorphisms
- Symmetric normalization
- Flat mapping
- Cortical thickness
- Sulcal analysis
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| 16:45-17:30 | Statistics of anatomic geometry by
Sarang Joshi, University of North Carolina, Chapel Hill
- Grenander's pattern theory
- Frechet mean, Extension to Riemannian manifolds
- Population templates using manifold theory
- Principal component analyses on manifolds
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