EM-ICP STRATEGIES FOR JOINT MEAN SHAPE AND CORRESPONDENCES ESTIMATION: APPLICATIONS TO STATISTICAL ANALYSIS OF SHAPE AND OF ASYMMETRY

Benoit Combes*, Marc Fournier, David N. Kennedy, Jose Braga, Neil Roberts, Sylvain Prima

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new approach to compute the mean shape of unstructured, unlabelled point sets with an arbitrary number of points. This approach can be seen as an extension of the EM-ICP algorithm, where the fuzzy correspondences between each point set and the mean shape, the optimal non-linear transformations superposing them, and the mean shape itself, are iteratively estimated. Once the mean shape is computed, one can study the variability around this mean shape (e. g. using PCA) or perform statistical analysis of local anatomical characteristics (e. g. cortical thickness, asymmetry, curvature). To illustrate our method, we perform statistical shape analysis on human osseous labyrinths and statistical analysis of global cortical asymmetry on control subjects and subjects with situs inversus.

Original languageEnglish
Title of host publication2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1257-1263
Number of pages7
Publication statusPublished - 2011
Event8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro - Chicago, Israel
Duration: 30 Mar 20112 Apr 2011

Publication series

NameIEEE International Symposium on Biomedical Imaging
PublisherIEEE
ISSN (Print)1945-7928

Conference

Conference8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro
Country/TerritoryIsrael
Period30/03/112/04/11

Keywords

  • point set
  • mean shape
  • EM-ICP
  • shape analysis
  • symmetry
  • surface
  • POINT-SETS
  • ATLAS
  • CONSTRUCTION

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