[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
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

Pagination

913-922

Auteurs

Kota Fukunaga (K)

Graduate School of Health Sciences, Kumamoto University.

Yasuhiro Fujiwara (Y)

Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University.

Masahiro Enzaki (M)

Radiology Section, University of Miyazaki Hospital.

Masanori Komi (M)

Radiology Section, University of Miyazaki Hospital.

Toshinori Hirai (T)

Department of Diagnostic Radiology, Faculty of Medicine, Kumamoto University.

Minako Azuma (M)

Department of Radiology, Faculty of Medicine, University of Miyazaki.

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Classifications MeSH