Using points and surfaces to improve voxel-based non-rigid registration

T. Hartkens, D. L.G. Hill, A. D. Castellano-Smith, D. J. Hawkes, C. R. Maurer, A. J. Martin, W. A. Hall, H. Liu, Chip Truwit

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

52 Scopus citations

Abstract

Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g. pre-and post-resection images, can fail because of a lack of voxel intensity correspondences. One solution is to introduce feature information into the voxel-based registration algorithms in order to incorporate higher level information about the expected deformation. We illustrate using one voxelbased registration algorithm that the incorporation of features yields considerable improvement of the registration results in such cases.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages565-572
Number of pages8
ISBN (Print)3540442251
DOIs
StatePublished - 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2489
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/TerritoryJapan
CityTokyo
Period9/25/029/28/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

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