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

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

scholarly journals Incidental White Matter Lesions Identified on Magnetic Resonance Images of Normal Japanese Individuals

1994 ◽  
Vol 34 (5) ◽  
pp. 286-290 ◽  
Author(s):  
Hirofumi OYAMA ◽  
Yoshihisa KIDA ◽  
Takayuki TANAKA ◽  
Takanori IWAKOSHI ◽  
Masahiro NIWA ◽  
...  
Keyword(s):  
White Matter ◽  
Magnetic Resonance ◽  
White Matter Lesions ◽  
Magnetic Resonance Images ◽  
Normal Japanese

scholarly journals Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Ketil Oppedal ◽  
Trygve Eftestøl ◽  
Kjersti Engan ◽  
Mona K. Beyer ◽  
Dag Aarsland
Keyword(s):  
White Matter ◽  
White Matter Lesions ◽  
Lewy Body Dementia ◽  
Local Binary Patterns ◽  
Magnetic Resonance Images ◽  
Mr Images ◽  
Computer Based ◽  
Disease Modifying Treatment ◽  
The Brain ◽  
Normal Controls

Dementia is an evolving challenge in society, and no disease-modifying treatment exists. Diagnosis can be demanding and MR imaging may aid as a noninvasive method to increase prediction accuracy. We explored the use of 2D local binary pattern (LBP) extracted from FLAIR and T1 MR images of the brain combined with a Random Forest classifier in an attempt to discern patients with Alzheimer's disease (AD), Lewy body dementia (LBD), and normal controls (NC). Analysis was conducted in areas with white matter lesions (WML) and all of white matter (WM). Results from 10-fold nested cross validation are reported as mean accuracy, precision, and recall with standard deviation in brackets. The best result we achieved was in the two-class problem NC versus AD + LBD with total accuracy of 0.98 (0.04). In the three-class problem AD versus LBD versus NC and the two-class problem AD versus LBD, we achieved 0.87 (0.08) and 0.74 (0.16), respectively. The performance using 3DT1 images was notably better than when using FLAIR images. The results from the WM region gave similar results as in the WML region. Our study demonstrates that LBP texture analysis in brain MR images can be successfully used for computer based dementia diagnosis.

scholarly journals Multiple sclerosis: High prevalence of the ‘central vein’ sign in white matter lesions on susceptibility-weighted images

2018 ◽  
Vol 31 (4) ◽  
pp. 356-361 ◽  
Author(s):  
Gianvincenzo Sparacia ◽  
Francesco Agnello ◽  
Angelo Gambino ◽  
Martina Sciortino ◽  
Massimo Midiri
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Magnetic Resonance ◽  
Small Vessel Disease ◽  
White Matter Lesions ◽  
Magnetic Resonance Images ◽  
Inversion Recovery ◽  
Central Vein ◽  
Fluid Attenuated Inversion Recovery ◽  
The Difference

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.

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

2017 ◽  
Vol 31 ◽  
pp. 52-62 ◽  
Author(s):  
Tianming Zhan ◽  
Renping Yu ◽  
Yu Zheng ◽  
Yongzhao Zhan ◽  
Liang Xiao ◽  
...  
Keyword(s):  
White Matter ◽  
Magnetic Resonance ◽  
White Matter Lesions ◽  
Magnetic Resonance Images ◽  
Segmentation Framework

White matter lesions in magnetic resonance imaging of the brain in 56 patients with visual vertigo

2018 ◽  
Vol 132 (06) ◽  
pp. 550-553 ◽  
Author(s):  
P A Dimitriadis ◽  
M Saad ◽  
M S Igra ◽  
R Mandavia ◽  
C Bowes ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Patient Group ◽  
White Matter Lesions ◽  
Control Group ◽  
Resonance Imaging ◽  
And Gender ◽  
Visual Vertigo ◽  
The Brain

AbstractBackgroundVisual vertigo is defined as a condition in which there is worsening or triggering of vestibular symptoms in certain visual environments. Previous studies have associated visual vertigo with an increased prevalence of underlying white matter lesions on brain imaging.MethodThis study evaluated the magnetic resonance imaging scans of the brain from a cohort of patients with visual vertigo, and compared the outcomes to an age- and gender-matched group of healthy volunteers.Results and conclusionWhite matter lesions were observed in 17.9 per cent of the patient group and in 16.3 per cent of the control group. The prevalence of white matter lesions in the patient group was not too different to that expected based on age.

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