[Usefulness of Voxel-Based Quantification (VBQ) Smoothing in Relaxation Time Mapping].
magnetic resonance imaging
quantitative MRI
relaxation time
smoothing
voxel-based analysis
Journal
Nihon Hoshasen Gijutsu Gakkai zasshi
ISSN: 1881-4883
Titre abrégé: Nihon Hoshasen Gijutsu Gakkai Zasshi
Pays: Japan
ID NLM: 7505722
Informations de publication
Date de publication:
20 Sep 2023
20 Sep 2023
Historique:
medline:
22
9
2023
pubmed:
7
8
2023
entrez:
6
8
2023
Statut:
ppublish
Résumé
Voxel-based quantification (VBQ) smoothing is a technique used to smooth quantitative parametric maps in the Montreal Neurological Institute standard space. Although VBQ smoothing could suppress changes in quantitative values at tissue boundaries, its effectiveness on relaxation time (T T The changes in relaxation time after VBQ smoothing application were smaller than those in that after Gaussian smoothing application. Although the differences in the relaxation time for all tissues before and after VBQ and Gaussian smoothing applications increased with increasing kernel size for all relaxation times for both methods, the changes in the relaxation time for VBQ smoothing were smaller than those in that for Gaussian smoothing. VBQ smoothing can suppress the change in the relaxation time on the boundary of the tissue and is thus a useful smoothing technique in relaxation time mapping.
Identifiants
pubmed: 37544734
doi: 10.6009/jjrt.2023-1378
doi:
Types de publication
English Abstract
Journal Article
Langues
jpn
Sous-ensembles de citation
IM