Multi-atlas based detection and localization (MADL) for location-dependent quantification of white matter hyperintensities.
FLAIR
Mild cognitive disorder
Multi-atlas
Segmentation
White matter hyperintensities
Journal
NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070
Informations de publication
Date de publication:
2019
2019
Historique:
received:
18
11
2018
revised:
05
02
2019
accepted:
10
03
2019
pubmed:
31
3
2019
medline:
22
1
2020
entrez:
31
3
2019
Statut:
ppublish
Résumé
The extent and spatial location of white matter hyperintensities (WMH) on brain MRI may be relevant to the development of cognitive decline in older persons. Here, we introduce a new method, known as the Multi-atlas based Detection and Localization (MADL), to evaluate WMH on fluid-attenuated inversion recovery (FLAIR) data. This method simultaneously parcellates the whole brain into 143 structures and labels hyperintense areas within each WM structure. First, a multi-atlas library was established with FLAIR data of normal elderly brains; and then a multi-atlas fusion algorithm was developed by which voxels with locally abnormal intensities were detected as WMH. At the same time, brain segmentation maps were generated from the multi-atlas fusion process to determine the anatomical location of WMH. Areas identified using the MADL method agreed well with manual delineation, with an interclass correlation of 0.97 and similarity index (SI) between 0.55 and 0.72, depending on the total WMH load. Performance was compared to other state-of-the-art WMH detection methods, such as BIANCA and LST. MADL-based analyses of WMH in an older population revealed a significant association between age and WMH load in deep WM but not subcortical WM. The findings also suggested increased WMH load in selective brain regions in subjects with mild cognitive impairment compared to controls, including the inferior deep WM and occipital subcortical WM. The proposed MADL approach may facilitate location-dependent characterization of WMH in older individuals with memory impairment.
Identifiants
pubmed: 30927606
pii: S2213-1582(19)30122-6
doi: 10.1016/j.nicl.2019.101772
pmc: PMC6444296
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
101772Subventions
Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG033655
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015909
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107417
Pays : United States
Organisme : NINDS NIH HHS
ID : R21 NS098018
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS084957
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS086888
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG060340
Pays : United States
Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.
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