Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images

Purpose The aim of this study was to determine the occurrence and distribution of the ‘central vein’ sign in white matter lesions on susceptibility-weighted magnetic resonance images in patients with multiple sclerosis (MS) and cerebral small vessel disease (CSVD). Materials and methods T2-weighted and fluid-attenuated inversion recovery magnetic resonance images of 19 MS patients and 19 patients affected by CSVD were analysed for the presence and localisation of focal hyperintense white matter lesions. Lesions were subdivided into periventricular or non-periventricular (juxtacortical, subcortical, deep white matter and cerebellar) distributed. The number and localisation of lesions presenting with the central vein sign were recorded and compared between MS and CSVD lesions. Results A total of 313 MS patients and 75 CSVD lesions were identified on T2-weighted and fluid-attenuated inversion recovery magnetic resonance images. The central vein sign was found in 128 MS lesions (40.9%), and the majority of them (71/128, 55.5%) had a periventricular distribution. The central vein sign was found in 22 out of 75 (29.3%) CSVD lesions, and periventricular distribution was seen in six out of 22 (27.2%) CSVD lesions. The difference in the proportion of white matter hyperintense lesions that presented with the central vein sign on susceptibility-weighted images in patients with MS and CSVD was statistically different, and a significantly higher number of MS patients presented with lesions with the central vein sign compared to CSVD patients. Conclusion The presence of the central vein sign on susceptibility-weighted images for MS lesions improves the understanding of the periventricular distribution of MS lesions and could contribute as adjunctive diagnostic criteria for MS disease.

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Fusing Markov Random Fields with Anatomical Knowledge and Shape Based Analysis to Segment Multiple Sclerosis White Matter Lesions in Magnetic Resonance Images of the Brain

Bildverarbeitung für die Medizin 2002 - Informatik aktuell ◽

10.1007/978-3-642-55983-9_42 ◽

2002 ◽

pp. 185-188 ◽

Cited By ~ 6

Author(s):

Stephan Al-Zubi ◽

Klaus Toennies ◽

Nils Bodammer ◽

Hermann Hinrichs

Keyword(s):

Multiple Sclerosis ◽

White Matter ◽

Magnetic Resonance ◽

Random Fields ◽

Markov Random Fields ◽

White Matter Lesions ◽

Magnetic Resonance Images ◽

Markov Random ◽

Anatomical Knowledge ◽

The Brain

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Automatic identification and characterization of white matter lesions in the brain using volumetric magnetic resonance images

10.47749/t/unicamp.2016.979535 ◽

2016 ◽

Author(s):

Mariana Pinheiro Bento

Keyword(s):

White Matter ◽

Magnetic Resonance ◽

White Matter Lesions ◽

Magnetic Resonance Images ◽

Automatic Identification ◽

The Brain ◽

Identification And Characterization

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Magnetic Resonance Imaging in Down's Syndrome

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques ◽

10.1017/s0317167100037318 ◽

1986 ◽

Vol 13 (S4) ◽

pp. 566-569 ◽

Cited By ~ 4

Author(s):

David M. Pelz ◽

Stephen J. Karlik ◽

Allan J. Fox ◽

Fernando Viñuela

Keyword(s):

Magnetic Resonance Imaging ◽

White Matter ◽

Magnetic Resonance ◽

Down's Syndrome ◽

White Matter Lesions ◽

Down’S Syndrome ◽

Magnetic Resonance Images ◽

Resonance Imaging ◽

Temporal Lobes ◽

Normal Limits

Abstract:100% of brains of Down's adults over age 40 will show Alzheimer-type neuropathologic changes in the frontal and temporal lobes. In an attempt to image these lesions, magnetic resonance imaging (MRI) was performed in seven patients with Down's syndrome, ranging in age from 17 to 45 years, using a resistive unit operating at 0.15 Tesla. All scans were within normal limits except for one 45 year-old patient with severe left temporal lobe atrophy. No areas of abnormal signal were seen in the frontal or temporal lobes and the white matter lesions commonly seen in elderly demented subjects were not visualized in this group. We conclude that these white matter lesions are likely coincidental and not causally related to Alzheimer's changes. The pathologic process leading to the formation and development of Alzheimer's changes in the brains of Down's adults may not be visible on magnetic resonance images.

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Fusing Markov random fields with anatomical knowledge and shape-based analysis to segment multiple sclerosis white matter lesions in magnetic resonance images of the brain

10.1117/12.467160 ◽

2002 ◽

Cited By ~ 2

Author(s):

Stephan AlZubi ◽

Klaus D. Toennies ◽

N. Bodammer ◽

Herman Hinrichs

Keyword(s):

Multiple Sclerosis ◽

White Matter ◽

Magnetic Resonance ◽

Random Fields ◽

Markov Random Fields ◽

White Matter Lesions ◽

Magnetic Resonance Images ◽

Markov Random ◽

Anatomical Knowledge ◽

The Brain

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Prevalence of Cerebral Microbleeds in Thai Patients with Ischemic Stroke

Journal of Neurosciences in Rural Practice ◽

10.4103/0976-3147.203836 ◽

2017 ◽

Vol 08 (02) ◽

pp. 216-220 ◽

Cited By ~ 4

Author(s):

Artit Potigumjon ◽

Arvemas Watcharakorn ◽

Pornpatr A. Dharmasaroja

Keyword(s):

Ischemic Stroke ◽

White Matter ◽

Magnetic Resonance ◽

White Matter Lesions ◽

Cerebral Microbleeds ◽

National Institutes Of Health ◽

Asian Origin ◽

Chinese Study ◽

Japanese Studies ◽

Magnetic Resonance Imaging Mri

ABSTRACT Background: With the widespread use of magnetic resonance imaging (MRI), cerebral microbleeds (CMBs) are commonly detected. Ethnicity seems to play a role in the prevalence of CMB, with higher prevalence in participants from Asian origin. The purpose of the study is to look for the prevalence of CMBs and associated factors in Thai patients with ischemic stroke. Methods: Patients with acute ischemic stroke who had MRI and magnetic resonance angiography during January–August 2014 were included in the study. T2*-weighted gradient-recalled echo was used to define CMBs. Baseline characteristics, stroke subtypes, and severity of white matter lesions were compared between patients with and without CMBs. Results: Two hundred patients were included in the study. Mean age of the patients was 61-year-old. Mean National Institutes of Health Stroke Scale was 8. The prevalence of CMBs was 20% (39/200 patients). Hypertension (odds ratio [OR] 3.05, 95% confidence interval [CI] 1.07–8.68, P = 0.037), and moderate-to-severe white matter lesions (Fazekas 2–3, OR 7.61, 95% CI 3.06–18.95, P < 0.001) were related to the presence of CMBs. Conclusions: CMBs were found in 20% of patients with ischemic stroke, which was lower than those reported from Japanese studies but comparable to a Chinese study. CMBs were associated with hypertension and severity of the white matter lesions.

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