Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging
About this item
Full title
Author / Creator
Markiewicz, Pawel J. , Matthews, Julian C. , Ashburner, John , Cash, David M. , Thomas, David L. , De Vita, Enrico , Barnes, Anna , Cardoso, M. Jorge , Modat, Marc , Brown, Richard , Thielemans, Kris , da Costa-Luis, Casper , Lopes Alves, Isadora , Gispert, Juan Domingo , Schmidt, Mark E. , Marsden, Paul , Hammers, Alexander , Ourselin, Sebastien and Barkhof, Frederik
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
•Novel methodology and software for MR-PET registration uncertainty analysis.•Registration software had the biggest effect on MR-PET registration precision, followed by reconstruction parameters (i.e., iterations, smoothing) and PET count level.•PVC can significantly improve the PET signal, but since it relies on precise MR-PET registration, it als...
Alternative Titles
Full title
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging
Authors, Artists and Contributors
Author / Creator
Matthews, Julian C.
Ashburner, John
Cash, David M.
Thomas, David L.
De Vita, Enrico
Barnes, Anna
Cardoso, M. Jorge
Modat, Marc
Brown, Richard
Thielemans, Kris
da Costa-Luis, Casper
Lopes Alves, Isadora
Gispert, Juan Domingo
Schmidt, Mark E.
Marsden, Paul
Hammers, Alexander
Ourselin, Sebastien
Barkhof, Frederik
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_927d5c4df2d64780bd6c99b19e604971
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_927d5c4df2d64780bd6c99b19e604971
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2021.117821
