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
Sparse isotropic q-space sampling distribution for Compressed Sensing in DSI
German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile.
German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9091-4724
Show others and affiliations
2014 (English)In: ISMRM-ESMRMB 2014, 2014Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The Compressed Sensing (CS) technique accelerates Diffusion Spectrum Imaging (DSI) through sub-Nyquist sampling in q-space and subsequent nonlinear reconstruction of the diffusion propagator. State-of-the-art DSI approaches that exploit CS apply Cartesian undersampling patterns. Recently, a method was proposed to generate 3D non-Cartesian sample distributions that aim for isotropic sampling of q-space. This work compares the new scheme to standard Cartesian undersampling patterns in sparse reconstruction of simulated diffusion signals. The diffusion propagator and the corresponding orientation distribution function of the reconstruction are found to deviate less from the ground truth when using an isotropic q-space sample distribution.

Place, publisher, year, edition, pages
2014.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-110429OAI: oai:DiVA.org:liu-110429DiVA: diva2:745892
Conference
Joint Annual Meeting ISMRM-ESMRMB 2014, 10-17 May 2014, Milan, Italy
Projects
CMIVCADICS
Funder
Swedish Research Council
Available from: 2014-09-11 Created: 2014-09-11 Last updated: 2014-10-08Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Knutsson, Hans

Search in DiVA

By author/editor
Knutsson, Hans
By organisation
Medical InformaticsThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 374 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