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

CCB Resources for Shape Modeling, Analysis and CCB Resources for Shape Modeling, Analysis and VisualizationVisualization

Yonggang ShiYonggang ShiLaboratory of Neuro Imaging (LONI), UCLALaboratory of Neuro Imaging (LONI), UCLA

Shape Analysis ChallengesShape Analysis Challenges

Segmentation Segmentation -- Jonathan MorraJonathan Morra HARDI reconstructionHARDI reconstruction –– Vishal PatelVishal Patel Mapping 2D contours Mapping 2D contours -- Shantanu JoshiShantanu Joshi Mapping 3D surfaces Mapping 3D surfaces –– Yonggang ShiYonggang Shi

Software: LONI Pipeline Software: LONI Pipeline WorkflowsWorkflows

LONI Pipeline (LONI Pipeline (http://Pipeline.loni.ucla.edu/)

Machine Learning Based Approaches to Machine Learning Based Approaches to Subcortical SegmentationSubcortical Segmentation

Auto context model/AdaBoost is used to Auto context model/AdaBoost is used to automatically learn object affinities and represent automatically learn object affinities and represent image based features for the classificationimage based features for the classification

Modeling of HARDI and ODF Shape Statistics for Population Comparisons

HARDI: High-angular resolution diffusion imaging

ODF: Orientation distribution function

Statistical Shape Analysis of Curves

Riemannian Metric on the Shape Manifold

Direct 3D Shape Mapping & Shape Characterization

Shape Characterization With Laplace-Beltrami Eigen Spectra

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/ • OS X• Windows• Linux/Unix

Pipeline Neuroimaging Solutions Handbook

Shape AnalysisWorkshopISBI 2009

PPTs Pubs Workflows Pipeline Handbook