liu.seSearch for publications in DiVA
Change search
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
Adaptive Anisotropic Regularization of Deformation Fields for Non-Rigid Registration
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-0908-9470
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2010 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Image registration is a crucial task in many applications and applied in a variety of different areas. In addition to the primary task of image alignment, the deformation field is valuable when studying structural/volumetric changes in the brain. In most applications a regularizing term is added to achieve a smoothly varying deformation field. This can sometimes cause conflicts in situations of local complex deformations. In this paper we present a new regularizer, which aims at handling local complex deformations while maintaining an overall smooth deformation field. It is based on an adaptive anisotropic regularizer and its usefulness is demonstrated by two examples, one synthetic and one with real MRI data from a pre- and post-op situation with normal pressure hydrocephalus.

Place, publisher, year, edition, pages
2010.
Keyword [en]
Image registration, Non-rigid registration, Adaptive regularization, Tensor-based morphometry
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:liu:diva-58065OAI: oai:DiVA.org:liu-58065DiVA: diva2:331872
Conference
SSBA Symposium on Image Analysis, March 11-12, Uppsala, Sweden
Available from: 2010-08-23 Created: 2010-07-27 Last updated: 2013-09-12Bibliographically approved

Open Access in DiVA

fulltext(2074 kB)414 downloads
File information
File name FULLTEXT01.pdfFile size 2074 kBChecksum SHA-512
cda8aee4fbb5856347a71ebe9d53ae289bde4e14fe000442ca753e668ff7ee4c859a749c346e76fb4948425d109fa8661b1c5246307505bc77aa587b63559557
Type fulltextMimetype application/pdf

Authority records BETA

Forsberg, DanielAndersson, MatsKnutsson, Hans

Search in DiVA

By author/editor
Forsberg, DanielAndersson, MatsKnutsson, Hans
By organisation
Medical InformaticsThe Institute of Technology
Biomedical Laboratory Science/Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 414 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

urn-nbn

Altmetric score

urn-nbn
Total: 639 hits
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