FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2003191738> ?p ?o ?g. }

• W2003191738 endingPage "142" @default.
• W2003191738 startingPage "133" @default.
• W2003191738 abstract "White matter hyperintensities (WMH), commonly found on T2-weighted FLAIR brain MR images in the elderly, are associated with a number of neuropsychiatric disorders, including vascular dementia, Alzheimer's disease, and late-life depression. Previous MRI studies of WMHs have primarily relied on the subjective and global (i.e., full-brain) ratings of WMH grade. In the current study we implement and validate an automated method for quantifying and localizing WMHs. We adapt a fuzzy-connected algorithm to automate the segmentation of WMHs and use a demons-based image registration to automate the anatomic localization of the WMHs using the Johns Hopkins University White Matter Atlas. The method is validated using the brain MR images acquired from eleven elderly subjects with late-onset late-life depression (LLD) and eight elderly controls. This dataset was chosen because LLD subjects are known to have significant WMH burden. The volumes of WMH identified in our automated method are compared with the accepted gold standard (manual ratings). A significant correlation of the automated method and the manual ratings is found (P<0.0001), thus demonstrating similar WMH quantifications of both methods. As has been shown in other studies (e.g. [Taylor, W.D., MacFall, J.R., Steffens, D.C., Payne, M.E., Provenzale, J.M., Krishnan, K.R., 2003. Localization of age-associated white matter hyperintensities in late-life depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 27 (3), 539-544.]), we found there was a significantly greater WMH burden in the LLD subjects versus the controls for both the manual and automated method. The effect size was greater for the automated method, suggesting that it is a more specific measure. Additionally, we describe the anatomic localization of the WMHs in LLD subjects as well as in the control subjects, and detect the regions of interest (ROIs) specific for the WMH burden of LLD patients. Given the emergence of large NeuroImage databases, techniques, such as that described here, will allow for a better understanding of the relationship between WMHs and neuropsychiatric disorders." @default.
• W2003191738 created "2016-06-24" @default.
• W2003191738 creator A5000560124 @default.
• W2003191738 creator A5009908427 @default.
• W2003191738 creator A5027958721 @default.
• W2003191738 creator A5064264687 @default.
• W2003191738 creator A5066006962 @default.
• W2003191738 creator A5076904256 @default.
• W2003191738 creator A5081107493 @default.
• W2003191738 creator A5085696063 @default.
• W2003191738 creator A5087201620 @default.
• W2003191738 date "2006-12-01" @default.
• W2003191738 modified "2023-10-18" @default.
• W2003191738 title "A fully automated method for quantifying and localizing white matter hyperintensities on MR images" @default.
• W2003191738 cites W1837608575 @default.
• W2003191738 cites W1862695416 @default.
• W2003191738 cites W1972401551 @default.
• W2003191738 cites W1978496271 @default.
• W2003191738 cites W1986159654 @default.
• W2003191738 cites W1993468227 @default.
• W2003191738 cites W1998530261 @default.
• W2003191738 cites W1999327911 @default.
• W2003191738 cites W2013108178 @default.
• W2003191738 cites W2021328606 @default.
• W2003191738 cites W2021478135 @default.
• W2003191738 cites W2024107408 @default.
• W2003191738 cites W2025578977 @default.
• W2003191738 cites W2032398883 @default.
• W2003191738 cites W2060820980 @default.
• W2003191738 cites W2068276868 @default.
• W2003191738 cites W2070268750 @default.
• W2003191738 cites W2071881327 @default.
• W2003191738 cites W2079043269 @default.
• W2003191738 cites W2084456675 @default.
• W2003191738 cites W2085829822 @default.
• W2003191738 cites W2090819718 @default.
• W2003191738 cites W2091931051 @default.
• W2003191738 cites W2095090463 @default.
• W2003191738 cites W2097252910 @default.
• W2003191738 cites W2113622874 @default.
• W2003191738 cites W2117140276 @default.
• W2003191738 cites W2122294423 @default.
• W2003191738 cites W2129795806 @default.
• W2003191738 cites W2146712216 @default.
• W2003191738 cites W2154603378 @default.
• W2003191738 cites W2170750629 @default.
• W2003191738 cites W2296621543 @default.
• W2003191738 cites W4235770099 @default.
• W2003191738 cites W4376595444 @default.
• W2003191738 doi "https://doi.org/10.1016/j.pscychresns.2006.09.003" @default.
• W2003191738 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/1761950" @default.
• W2003191738 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17097277" @default.
• W2003191738 hasPublicationYear "2006" @default.
• W2003191738 type Work @default.
• W2003191738 sameAs 2003191738 @default.
• W2003191738 citedByCount "173" @default.
• W2003191738 countsByYear W20031917382012 @default.
• W2003191738 countsByYear W20031917382013 @default.
• W2003191738 countsByYear W20031917382014 @default.
• W2003191738 countsByYear W20031917382015 @default.
• W2003191738 countsByYear W20031917382016 @default.
• W2003191738 countsByYear W20031917382017 @default.
• W2003191738 countsByYear W20031917382018 @default.
• W2003191738 countsByYear W20031917382019 @default.
• W2003191738 countsByYear W20031917382020 @default.
• W2003191738 countsByYear W20031917382021 @default.
• W2003191738 countsByYear W20031917382022 @default.
• W2003191738 countsByYear W20031917382023 @default.
• W2003191738 crossrefType "journal-article" @default.
• W2003191738 hasAuthorship W2003191738A5000560124 @default.
• W2003191738 hasAuthorship W2003191738A5009908427 @default.
• W2003191738 hasAuthorship W2003191738A5027958721 @default.
• W2003191738 hasAuthorship W2003191738A5064264687 @default.
• W2003191738 hasAuthorship W2003191738A5066006962 @default.
• W2003191738 hasAuthorship W2003191738A5076904256 @default.
• W2003191738 hasAuthorship W2003191738A5081107493 @default.
• W2003191738 hasAuthorship W2003191738A5085696063 @default.
• W2003191738 hasAuthorship W2003191738A5087201620 @default.
• W2003191738 hasBestOaLocation W20031917382 @default.
• W2003191738 hasConcept C101070640 @default.
• W2003191738 hasConcept C118552586 @default.
• W2003191738 hasConcept C126322002 @default.
• W2003191738 hasConcept C126838900 @default.
• W2003191738 hasConcept C139719470 @default.
• W2003191738 hasConcept C143409427 @default.
• W2003191738 hasConcept C146638467 @default.
• W2003191738 hasConcept C15744967 @default.
• W2003191738 hasConcept C162324750 @default.
• W2003191738 hasConcept C164705383 @default.
• W2003191738 hasConcept C169900460 @default.
• W2003191738 hasConcept C2776867660 @default.
• W2003191738 hasConcept C2779134260 @default.
• W2003191738 hasConcept C2779483572 @default.
• W2003191738 hasConcept C2781192897 @default.
• W2003191738 hasConcept C2781357127 @default.
• W2003191738 hasConcept C40993552 @default.
• W2003191738 hasConcept C71924100 @default.
• W2003191738 hasConceptScore W2003191738C101070640 @default.

• next