1. CCB Resources for Shape Modeling, Analysis and Visualization Yonggang Shi Laboratory of Neuro Imaging (LONI), UCLA

2. Shape Analysis Challenges Segmentation -Jonathan Morra Segmentation -Jonathan Morra HARDI reconstruction–Vishal Patel HARDI reconstruction–Vishal Patel Mapping 2D contours -Shantanu Joshi Mapping 2D contours -Shantanu Joshi Mapping 3D surfaces –Yonggang Shi Mapping 3D surfaces –Yonggang Shi

3. Software: LONI Pipeline Workflows LONI Pipeline (http://Pipeline.loni.ucla.edu/) LONI Pipeline (http://Pipeline.loni.ucla.edu/)http://Pipeline.loni.ucla.edu/http://Pipeline.loni.ucla.edu/

4. Machine Learning Based Approaches to Subcortical Segmentation Auto context model/AdaBoost is used to automatically learn object affinities and represent image based features for the classification Auto context model/AdaBoost is used to automatically learn object affinities and represent image based features for the classification

5. Modeling of HARDI and ODF Shape Statistics for Population Comparisons HARDI: High-angular resolution diffusion imaging ODF: Orientation distribution function

6. Statistical Shape Analysis of Curves Riemannian Metric on the Shape Manifold

7. Direct 3D Shape Mapping & Shape Characterization Shape Characterization With Laplace-Beltrami Eigen Spectra

8. CD Materials README.html file PowerPoint Slides Folder Publications folder Pipeline Workflows folder Pipeline Client folder (V.4.3) http://pipeline.loni.ucla.edu/downloads/ http://pipeline.loni.ucla.edu/downloads/ OS X Windows Linux/Unix Pipeline Neuroimaging Solutions Handbook Shape Analysis Workshop ISBI 2009 PPTs Pubs Workflows Pipeline Handbook