Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. (Sectra Imtec, Linköping, Sweden)ORCID iD: 0000-0003-0908-9470
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2012 (English)In: Image Analysis and Recognition: 9th International Conference, ICIAR 2012, Aveiro, Portugal, June 25-27, 2012. Proceedings, Part II / [ed] Aurélio Campilho, Mohamed Kamel, Springer, 2012, Vol. 7325, 304-312 p.Conference paper, Published paper (Refereed)
Abstract [en]

The use of polynomial expansion in image registration has previously been shown to be beneficial due to fast convergence and high accuracy. However, earlier work has only briefly out-lined how non-rigid image registration is handled, e.g. not discussing issues like regularization of the displacement field or how to accumulate the displacement field. In this work, it is shown how non-rigid image registration based upon polynomial expansion can be integrated into a generic framework for non-rigid image registration achieving diffeomorphic displacement fields. The proposed non-rigid image registration algorithm using diffeomorphic field accumulation is evaluated on both synthetically deformed data and real image data and compared to additive field accumulation. The results clearly demonstrate the power of the diffeomorphic field accumulation.

Place, publisher, year, edition, pages
Springer, 2012. Vol. 7325, 304-312 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7325
Keyword [en]
Computer science, Computer software, Artificial intelligence, Computer graphics, Computer vision, Optical pattern recognition, Image Processing and Computer Vision, Pattern Recognition, Algorithm Analysis and Problem Complexity, Information Systems Applications
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-78969DOI: 10.1007/978-3-642-31298-4_36ISI: 000323559300036ISBN: 978-36-4231-297-7 (print)ISBN: 978-36-4231-298-4 (print)OAI: oai:DiVA.org:liu-78969DiVA: diva2:537307
Conference
9th International Conference, ICIAR 2012, Aveiro, Portugal, June 25-27, 2012
Funder
Swedish Research Council, 2007-4786
Note

The original publication is available at www.springerlink.com: Daniel Forsberg, Mats Andersson and Hans Knutsson, Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion, 2012, Lecture Notes in Computer Science, (7325), 304-312.http://dx.doi.org/10.1007/978-3-642-31298-4_36. Copyright: Springer-verlag http://www.springerlink.com/.

Available from: 2012-06-26 Created: 2012-06-26 Last updated: 2015-10-08Bibliographically approved

Open Access in DiVA

fulltext(647 kB)250 downloads
File information
File name FULLTEXT02.pdfFile size 647 kBChecksum SHA-512
77470a91ef0ec3b599e3492e8b59b2804bdc5b61bd53953802b52e676e5876a80d8a0178d067280e2f64180011dadd4371e0c7553b19963810d4f84c4f67f94e
Type fulltextMimetype application/pdf

Other links

Publisher's full textFind book in another country/Hitta boken i ett annat landfind book in another country/hitta boken i ett annat land

Search in DiVA

By author/editor
Forsberg, DanielAndersson, MatsKnutsson, Hans
By organisation
Center for Medical Image Science and Visualization (CMIV)Medical InformaticsThe Institute of Technology
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 250 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 572 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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