Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
About this item
Full title
Author / Creator
Dhollander, Thijs , Clemente, Adam , Singh, Mervyn , Boonstra, Frederique , Civier, Oren , Duque, Juan Dominguez , Egorova, Natalia , Enticott, Peter , Fuelscher, Ian , Gajamange, Sanuji , Genc, Sila , Gottlieb, Elie , Hyde, Christian , Imms, Phoebe , Kelly, Claire , Kirkovski, Melissa , Kolbe, Scott , Liang, Xiaoyun , Malhotra, Atul , Mito, Remika , Poudel, Govinda , Silk, Tim J. , Vaughan, David N. , Zanin, Julien , Raffelt, David and Caeyenberghs, Karen
Publisher
Amsterdam: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
Amsterdam: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
•The fixel-based analysis framework was proposed for fibre-specific statistical analysis of diffusion MRI data.•A “fixel” represents an individual fibre population in a voxel, allowing for increased specificity over voxel-wise measures.•A state-of-the-art fixel-based analysis pipeline consists of several bespoke steps, but is conceptually similar t...
Alternative Titles
Full title
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
Authors, Artists and Contributors
Author / Creator
Clemente, Adam
Singh, Mervyn
Boonstra, Frederique
Civier, Oren
Duque, Juan Dominguez
Egorova, Natalia
Enticott, Peter
Fuelscher, Ian
Gajamange, Sanuji
Genc, Sila
Gottlieb, Elie
Hyde, Christian
Imms, Phoebe
Kelly, Claire
Kirkovski, Melissa
Kolbe, Scott
Liang, Xiaoyun
Malhotra, Atul
Mito, Remika
Poudel, Govinda
Silk, Tim J.
Vaughan, David N.
Zanin, Julien
Raffelt, David
Caeyenberghs, Karen
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_cc9599d4d8a64446bbf23f84458c4c04
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cc9599d4d8a64446bbf23f84458c4c04
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2021.118417
