Vessel Density Mapping of Small Cerebral Vessels on 3D High Resolution Black Blood MRI.

High-resolution black-blood MRI Turbo spin-echo with variable flip angles (TSE VFA) small vessel disease vessel density vessel segmentation

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 21 03 2023
revised: 19 11 2023
accepted: 20 12 2023
medline: 13 1 2024
pubmed: 13 1 2024
entrez: 12 1 2024
Statut: aheadofprint

Résumé

Small cerebral blood vessels are largely inaccessible to existing clinical in vivo imaging technologies. This study aims to present a novel analysis pipeline for vessel density mapping of small cerebral blood vessels from high-resolution 3D black-blood MRI at 3T. Twenty-eight subjects (10 under 35 years old, 18 over 60 years old) were imaged with the T1-weighted turbo spin-echo with variable flip angles (T1w TSE-VFA) sequence optimized for black-blood small vessel imaging with iso-0.5mm spatial resolution (interpolated from 0.51×0.51×0.64 mm

Identifiants

pubmed: 38216104
pii: S1053-8119(23)00654-7
doi: 10.1016/j.neuroimage.2023.120504
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120504

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest none.

Auteurs

Mona Sharifi Sarabi (MS)

USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.

Samantha J Ma (SJ)

Siemens Healthcare USA, Los Angeles, CA, USA.

Kay Jann (K)

USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.

John M Ringman (JM)

Department of Neurology, University of Southern California, Los Angeles, CA, USA.

Danny J J Wang (DJJ)

USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.

Yonggang Shi (Y)

USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA. Electronic address: yshi@loni.usc.edu.

Classifications MeSH