Fully automated pipeline for quantification and localization of white matter hyperintensity in brain magnetic resonance image

Jeon, Sohee; Yoon, Uicheul; Park, Jun-Sung; Seo, Sang Won; Kim, Jung-Hyun; Kim, Sung Tae; Kim, Sun I.; Na, Duk L.; Lee, Jong-Min

doi:10.1002/ima.20277

Cited by 55 publications

(42 citation statements)

References 49 publications

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“…We quantified WMH volume (in cm 3 ) on FLAIR images using an automated method as previously described [28]. First, we extracted the WMH candidate regions on FLAIR images applying classification method and morphological operation to T1-weighted images.…”

Section: Methodsmentioning

confidence: 99%

White Matter Hyperintensities are associated with Amyloid Burden in APOE4 Non-Carriers

Noh

Seo

Jeon

et al. 2014

JAD

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Previous preclinical studies have suggested a close relationship between cerebrovascular disease (CVD) and Alzheimer’s disease. However, a direct correlation between CVD and amyloid burden has not yet been shown in humans. If there is a relationship between CVD and amyloid burden, it is possible that the apolipoprotein E4 (APOE4) genotype may have an effect on this relationship because APOE4 is a risk factor for the development of AD. We therefore evaluated the effects of APOE4 on the relationship between white matter hyperintensities (WMH), a marker of CVD, and amyloid burden, measured by 11C-Pittsburgh compound B (PiB) PET. We recruited 53 patients with subcortical vascular cognitive impairments, who had both WMH on MRI and amyloid deposition assessed by PiB PET. Twenty-two of these patients were APOE4 carriers (41.5%). In the APOE4 non-carriers, a significant positive correlation was shown between the volume of WMH and PiB retention (β = 7.0 10−3, p = 0.034) while no significant correlation was found in APOE4 carriers (β = −9.0 × 10−3, p = 0.085). Statistical parametric mapping analyses in APOE4 non-carriers showed that WMH were associated with PiB retention in the bilateral medial occipitotemporal gyrus, cuneus, and superior cerebellum. Our results suggested that WMH are correlated with amyloid burden especially in the posterior brain regions in APOE4 non-carriers. However, this correlation was not observed in APOE4 carriers, perhaps because in these subjects the influence of APOE4 overrides the effect of CVD.

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Section: Methodsmentioning

confidence: 99%

White Matter Hyperintensities are associated with Amyloid Burden in APOE4 Non-Carriers

Noh

Seo

Jeon

et al. 2014

JAD

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“…WMH volume (in millilitres) was quantified on FLAIR images using an automated method (Jeon et al, 2011). Because the contrasting properties of FLAIR images allow automated segmentation and classification of WMH (Sachdev et al, 2004), we used FLAIR images to quantify WMH.…”

Section: Measurement Of Wmh Volumementioning

confidence: 99%

“…Because the contrasting properties of FLAIR images allow automated segmentation and classification of WMH (Sachdev et al, 2004), we used FLAIR images to quantify WMH. The procedures for measuring regional WMH volume have been previously described (Jeon et al, 2011). First, we extracted the WMH candidate regions using T1-weighted images to avoid misclassification in the subarachnoid space and CSF interface, which cannot be excluded by intensity threshold or the conventional brain extraction tools.…”

Section: Measurement Of Wmh Volumementioning

confidence: 99%

MRI-visible perivascular space location is associated with Alzheimer's disease independently of amyloid burden

Banerjee

Kim

Fox

et al. 2017

Brain

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MRI-visible perivascular spaces are a neuroimaging marker of cerebral small vessel disease.Their location may relate to the type of underlying small vessel pathology: those in the white matter centrum semi-ovale have been associated with cerebral amyloid angiopathy, whilst those in the basal ganglia have been associated with deep perforating artery arteriolosclerosis.Since cerebral amyloid angiopathy is an almost invariable pathological finding in Alzheimer's disease, we hypothesized that MRI-visible perivascular spaces in the centrum semi-ovale would be associated with a clinical diagnosis of Alzheimer's disease, whereas those in the basal ganglia would be associated with subcortical vascular cognitive impairment. We also hypothesised that MRI-visible perivascular spaces in the centrum semiovale would be associated with brain amyloid burden, as detected by amyloid-PET using subcortical vascular cognitive impairment n=116) with standardised MRI and PiB-PET imaging were included. MRI-visible perivascular spaces were rated using a validated 4-point visual rating scale, and then categorised by severity ("none/mild", "moderate" or "frequent/severe").

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“…We measured volume of WMH (in milliliters) on FLAIR images using an automated method. 18 Detailed methods are described in appendix e-3. A lacune was defined as a lesion $3 mm and #15 mm in diameter with low signal on T1-weighted images, high signal on T2-weighted images, and perilesional halo on FLAIR images.…”

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confidence: 99%

Clinical effect of white matter network disruption related to amyloid and small vessel disease

Kim

Kwon

et al. 2015

Neurology

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Fully automated pipeline for quantification and localization of white matter hyperintensity in brain magnetic resonance image

Cited by 55 publications

References 49 publications

White Matter Hyperintensities are associated with Amyloid Burden in APOE4 Non-Carriers

White Matter Hyperintensities are associated with Amyloid Burden in APOE4 Non-Carriers

MRI-visible perivascular space location is associated with Alzheimer's disease independently of amyloid burden

Clinical effect of white matter network disruption related to amyloid and small vessel disease

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