A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging

William R. Crum, Daniel Rueckert, Mark Jenkinson, David Kennedy, Stephen M. Smith

Research output: Contribution to journalConference articlepeer-review

50 Citations (Scopus)

Abstract

Non-rigid image registration is widely used in the analysis of brain images to the extent it is provided as a standard tool in common packages such as SPM. However the performance of algorithms in specific applications remains hard to measure. In this paper a detailed comparison of the performance of an affine, B-Spline control-point and viscous fluid registration algorithm in inter-subject brain registration is presented. The comparison makes use of highly detailed expert manual labellings of a range of structures distributed in scale and in location in the brain. The overall performance is B-Spline, fluid, affine (best first) with all algorithms struggling to improve the match of smaller structures. We discuss caveats, evaluation strategies for registration and implications for future registration-based neuroimaging studies.

Original languageEnglish
Pages (from-to)679-686
Number of pages8
JournalLecture Notes in Computer Science
Volume3216
Issue numberPART 1
DOIs
Publication statusPublished or Issued - 2004
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
Duration: 26 Sept 200429 Sept 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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