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- Abramian, David,1992-Linköping University,Linköpings universitet,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för medicinsk teknik (author)
Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering
- Article/chapterEnglish2020
Publisher, publication year, extent ...
- IEEE,2020
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:liu-165857
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165857URI
- https://doi.org/10.1109/ISBI45749.2020.9098582DOI
- https://lup.lub.lu.se/record/55d4d7f2-d462-49be-a436-82c3c8cb070fURI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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- Funding agencies: Swedish Research CouncilSwedish Research Council [2018-06689, 2017-04889]; Center for Industrial Information Technology (CENIIT) at Linkoping University; Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation
- 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.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Medicinteknik Medicinsk bildbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Medical Engineering Medical Image Processing hsv//eng
- functional MRI
- diffusion MRI
- white matter
- adaptive filtering
- adaptive filtering
- diffusion MRI
- functional MRI
- white matter
Added entries (persons, corporate bodies, meetings, titles ...)
- Larsson, MartinLund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,Centre for Mathematical Sciences, Lund University, Sweden(Swepub:lu)ma2618la (author)
- Eklund, Anders,1981-Linköping University,Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Statistik och maskininlärning(Swepub:liu)andek67 (author)
- Behjat, HamidLund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Department of Biomedical Engineering, Lund University, Sweden(Swepub:lu)eit-hbj (author)
- Linköpings universitetTekniska fakulteten (creator_code:org_t)
Related titles
- In:ISBI 2020: IEEE1945-84521945-79289781538693308
Internet link
- https://liu.diva-portal.org/smash/get/diva2:1433272/FULLTEXT01.pdffulltext:postprint
- http://dx.doi.org/10.1109/ISBI45749.2020.9098582FULLTEXT
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165857
- https://doi.org/10.1109/ISBI45749.2020.9098582
- https://lup.lub.lu.se/record/55d4d7f2-d462-49be-a436-82c3c8cb070f
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