Accurate robust symmetry estimation

Stephen Smith, Mark Jenkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Citations (Scopus)


There are various applications, both in medical and nonmedical image analysis, which require the automatic detection of the line (2D images) or plane (3D) of reflective symmetry of objects. There exist relatively simple methods of finding reflective symmetry when object images are complete (i.e., completely symmetric and perfectly segmented from image “background”). A much harder problem is finding the line or plane of symmetry when the object of interest contains asymmetries, and may not have well defined edges. A major area of interest is brain image analysis; there are various reasons why one would want to be able to automatically, robustly and accurately find the (sagittal) mid-plane from a 3D brain image. Example applications include pre-alignment (or sanity checking) for standard registration methods, mid-plane finding as part of symmetric probabilistic anatomical map generation, and, in particular, symmetry-based analyses (e.g., for schizophrenia research). This paper describes EROS - Extraction of Robust Orientation using Symmetry, which has been developed to solve this problem. It has been shown to work with MRI (T1, T2, EPI), PET, SPECT and CT, using robust measures to give accurate results even with images containing large asymmetries.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings
EditorsChris Taylor, Alain Colchester
PublisherSpringer Verlag
Number of pages10
ISBN (Print)354066503X, 9783540665038
Publication statusPublished or Issued - 1999
Externally publishedYes
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: 19 Sep 199922 Sep 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
Country/TerritoryUnited Kingdom


  • Mid-plane
  • Robust registration
  • Symmetry detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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