SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "id:"swepub:oai:DiVA.org:liu-165857" "

Search: id:"swepub:oai:DiVA.org:liu-165857"

  • Result 1-1 of 1
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Abramian, David, 1992-, et al. (author)
  • Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering
  • 2020
  • In: ISBI 2020. - : IEEE. - 1945-8452 .- 1945-7928. - 9781538693308
  • Conference paper (peer-reviewed)abstract
    • Brain activation mapping using functional MRI (fMRI) based on blood oxygenation level-dependent (BOLD) contrast has been conventionally focused on probing gray matter, the BOLD contrast in white matter having been generally disregarded. Recent results have provided evidence of the functional significance of the white matter BOLD signal, showing at the same time that its correlation structure is highly anisotropic, and related to the diffusion tensor in shape and orientation. This evidence suggests that conventional isotropic Gaussian filters are inadequate for denoising white matter fMRI data, since they are incapable of adapting to the complex anisotropic domain of white matter axonal connections. In this paper we explore a graph-based description of the white matter developed from diffusion MRI data, which is capable of encoding the anisotropy of the domain. Based on this representation we design localized spatial filters that adapt to white matter structure by leveraging graph signal processing principles. The performance of the proposed filtering technique is evaluated on semi-synthetic data, where it shows potential for greater sensitivity and specificity in white matter activation mapping, compared to isotropic filtering.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Abramian, David, 199 ... (1)
Eklund, Anders, 1981 ... (1)
Larsson, Martin (1)
Behjat, Hamid (1)
University
Linköping University (1)
Lund University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view