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Image registration using Morphon algorithm: an ITK implementation
Laboratoire de T´el´ecommunication et T´el´ed´ection (TELE), Universit´e Catholique de Louvain, Belgium.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Laboratoire de T´el´ecommunication et T´el´ed´ection (TELE), Universit´e Catholique de Louvain, Belgium.
Laboratoire de T´el´ecommunication et T´el´ed´ection (TELE), Universit´e Catholique de Louvain, Belgium.
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2009 (English)In: Insight Journal, ISSN 2327-770XArticle in journal (Other academic) Published
Abstract [en]

Medical image registration is becoming a more and more useful component of a large number of applications. The presented method aims to enrich the ITK library. This method, called Morphon registration algorithm, computes a dense deformation field accepting inputs from different intensity contrasts. This article presents its implementation within the Insight Toolkit. In this paper, we provide a brief description of the algorithm, a presentation of the implementation, the justification of our modified classes and the results given by the algorithm. We demonstrate the algorithm in application of different images intesity constrasts and dimensions.

Place, publisher, year, edition, pages
2009.
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:liu:diva-58589OAI: oai:DiVA.org:liu-58589DiVA: diva2:343980
Available from: 2010-08-17 Created: 2010-08-17 Last updated: 2013-08-28Bibliographically approved

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Image registration using the Morphon algorithm: an ITK implementation(424 kB)1606 downloads
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Andersson, MatsKnutsson, Hans

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf