An improved algorithm of white matter hyperintensity detection in elderly adults.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2020
Historique:
received: 14 10 2019
revised: 10 12 2019
accepted: 26 12 2019
pubmed: 14 1 2020
medline: 18 12 2020
entrez: 14 1 2020
Statut: ppublish

Résumé

Automated segmentation of the aging brain raises significant challenges because of the prevalence, extent, and heterogeneity of white matter hyperintensities. White matter hyperintensities can be frequently identified in magnetic resonance imaging (MRI) scans of older individuals and among those who have Alzheimer's disease. We propose OASIS-AD, a method for automatic segmentation of white matter hyperintensities in older adults using structural brain MRIs. OASIS-AD is an approach evolved from OASIS, which was developed for automatic lesion segmentation in multiple sclerosis. OASIS-AD is a major refinement of OASIS that takes into account the specific challenges raised by white matter hyperintensities in Alzheimer's disease. In particular, OASIS-AD combines three processing steps: 1) using an eroding procedure on the skull stripped mask; 2) adding a nearest neighbor feature construction approach; and 3) applying a Gaussian filter to refine segmentation results, creating a novel process for WMH detection in aging population. We show that OASIS-AD performs better than existing automatic white matter hyperintensity segmentation approaches.

Identifiants

pubmed: 31927502
pii: S2213-1582(19)30497-8
doi: 10.1016/j.nicl.2019.102151
pmc: PMC6957792
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

102151

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM113243
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034852
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG025516
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG036468
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066468
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG063752
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS060910
Pays : United States

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

T Ding (T)

University of Pittsburgh, Pittsburgh. Electronic address: dlt30@pitt.edu.

A D Cohen (AD)

University of Pittsburgh, Pittsburgh.

E E O'Connor (EE)

University of Maryland, Baltimore.

H T Karim (HT)

University of Pittsburgh, Pittsburgh.

A Crainiceanu (A)

United States Naval Academy, United States.

J Muschelli (J)

Johns Hopkins University, United States.

O Lopez (O)

University of Pittsburgh, Pittsburgh.

W E Klunk (WE)

University of Pittsburgh, Pittsburgh.

H J Aizenstein (HJ)

University of Pittsburgh, Pittsburgh.

R Krafty (R)

University of Pittsburgh, Pittsburgh.

C M Crainiceanu (CM)

Johns Hopkins University, United States.

D L Tudorascu (DL)

University of Pittsburgh, Pittsburgh.

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