Statistical Shape Analysis: Theory, Software, and Applications

Presented by

Presented by Tom Fletcher, University of Utah; Ivo Dinov, University of California, Los Angeles; Polina Golland, Massachusetts Institute of Technology; Shantanu Joshi, Jon Morra, Yonggang Shi, Vishal Patel, University of California, Los Angeles

Abstract

Statistical shape analysis is an important tool for understanding biological and anatomical structures from image data. The study of biological shape can give us insights into disease processes as well as normal growth and development. The theory of shape has a rich mathematical underpinning, including the theory of shape manifolds and diffeomorphic transformations. This tutorial will be aimed at researchers in shape analysis methodology as well as clinical researchers interested in applying these methods in applications.

This tutorial will cover the following topics: