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Analysis of brain white matter hyperintensities using pattern recognition techniques
2013
Medical Imaging 2013: Image Processing
Lesions in the brain white matter, called white matter hyperintensity (WMH), can cause a significant functional deficit. ...
WMH are commonly seen in normal aging, but also in a number of neurological and psychiatric disorders. ...
matter and white matter hyperintensity than to correctly classify different types of lesions according to its etiology. ...
doi:10.1117/12.2006924
dblp:conf/miip/BentoRALL13
fatcat:ps4xqjk34vhnxi3w3aikyzjxhy
Alzheimer disease: quantitative H-1 MR spectroscopic imaging of frontoparietal brain
1998
Radiology
MATERIALS AND METHODS-MR spectroscopic imaging and MR imaging were performed in 28 patients with AD and 22 healthy elderly subjects. ...
CONCLUSION-Reduced NAA levels in frontoparietal brain are of limited use for diagnosis of AD. ...
We are grateful to Sean Steinman, BSc, for his excellence in performing the MR imaging and MR spectroscopic imaging examinations and for part of the data processing. ...
doi:10.1148/radiology.207.1.9530304
pmid:9530304
pmcid:PMC2753252
fatcat:3rnv6ahwqvah7ccllrd3tgrk64
Fractal analysis of retinal vessels suggests that a distinct vasculopathy causes lacunar stroke
2010
Neurology
ACKNOWLEDGMENT Brain imaging took place in the SFC Brain Imaging Research Centre (www.sbirc.ac.uk), a center in the SINAPSE (Scottish Imaging Network-A Platform for Scientific Excellence; www.sinapse.ac.uk ...
Retinal photographs were taken in the Wellcome Trust Clinical Research Facility, Western General Hospital, Edinburgh. ...
The prevalence of diabetes, hypertension, and white matter hyperintensities did not differ between the groups. ...
doi:10.1212/wnl.0b013e3181d7d8b4
pmid:20368631
pmcid:PMC2865776
fatcat:kzttkp3jfjfhtn6kzjklwdvu2i
An Improved Algorithm of White Matter Hyperintensity Detection in Elderly Adults
2019
NeuroImage: Clinical
Automated segmentation of the aging brain raises significant challenges because of the prevalence, extent, and heterogeneity of white matter hyperintensities. ...
We show that OASIS-AD performs better than existing automatic white matter hyperintensity segmentation approaches. ...
Acknowledgement This work was supported by the following National Institutes of Health/NIA grants: R01 AG063752, P30 AG066468, RF1 AG025516, P01 AG025204, R01 AG034852, R01 GM113243. ...
doi:10.1016/j.nicl.2019.102151
pmid:31927502
pmcid:PMC6957792
fatcat:2pqe3mbl4vaxxkuygxmuuwumwa
Automatic segmentation of white matter hyperintensities in the elderly using FLAIR images at 3T
2010
Journal of Magnetic Resonance Imaging
Purpose: To determine the precision and accuracy of an automated method for segmenting white matter hyperintensities (WMH) on fast fluid-attenuated inversion-recovery (FLAIR) images in elderly brains at ...
Two false-positive minimization (FPM) methods using white matter templates were tested. Precision was assessed by adding synthetic hyperintense voxels to brain slices. ...
The segmentation program, FLEX: Fuzzy Lesion EXtractor was compiled for Windows and Unix/Linux operating systems, and is available by contacting the corresponding author. ...
doi:10.1002/jmri.22004
pmid:20512882
pmcid:PMC2905619
fatcat:6pd55pcotrhs7cic7uvbafuq7u
Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes
2019
NeuroImage: Clinical
: 97% accuracy) in NHIS-IH cohort, outperforming a benchmark model (FLAIR-based white matter hyperintensity volumes). ...
Our comparisons of the classifiers trained on structural MRI, diffusion MRI, FLAIR, and CSF biomarkers showed the promising utility of the white matter structural connectomes in classifying AD and MCI ...
This study was supported by National Institute of Mental Health K01 MH109836 (Cha), Brain and Behavior Research Foundation NARSAD Young Investigator award (Cha), Korean Scientists and Engineers Association ...
doi:10.1016/j.nicl.2019.101859
pmid:31150957
pmcid:PMC6541902
fatcat:zurwgrw5vjbffomv6l6lts7gcy
HIST: HyperIntensity Segmentation Tool
[chapter]
2016
Lecture Notes in Computer Science
Accurate quantification of white matter hyperintensities (WMH) from MRI is a valuable tool for studies on ageing and neurodegeneration. ...
In this paper, we present an automatic and accurate method to segment these lesions that is based on the use of neural networks and an overcomplete strategy. ...
This study has been carried out with support from the French State, managed by the French National Research Ageny in the frame of the Investments for the future Program IdEx Bordeaux (ANR-10-IDEX-03-02 ...
doi:10.1007/978-3-319-47118-1_12
fatcat:hg5emgvt4fgyxarej4z24naqq4
Peripheral (deep) but not periventricular MRI white matter hyperintensities are increased in clinical vascular dementia compared to Alzheimer's disease
2016
Brain and Behavior
In this study, we sought to show whether the amount of WMH in deep white matter (dWMH), versus periventricular white matter (PVH), would aid in the distinction between VAD and AD, independent of age. ...
MRI scans often show white matter hyperintensities (WMH) in both conditions. WMH increase with age, and both VAD and AD are associated with aging, thus presenting an attribution conundrum. ...
Acknowledgments We gratefully acknowledge support from the United States national Institute of Aging, grant # P30 AG028383. ...
doi:10.1002/brb3.438
pmid:26925303
pmcid:PMC4754499
fatcat:xuo7uxjbxzelbkbgyyhvtpvqfa
Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis
2020
NeuroImage
These two categories of white matter T2-weighted (T2w) hyperintensity show different degrees of demyelination, axonal loss and immune cell density on histopathology, potentially offering distinct correlations ...
Previous histopathology and MRI studies have addressed the differences between focal white matter lesions (FWML) and diffusely abnormal white matter (DAWM) in multiple sclerosis (MS). ...
white matter lesions in red, and diffusely abnormal white matter hyperintensity in green. ...
doi:10.1016/j.neuroimage.2020.116690
pmid:32119987
fatcat:swwlyzqgynd4ff7ovvew5ggbdi
Characterization of White Matter Hyperintensities in Large-Scale MRI-Studies
2019
Frontiers in Neurology
White matter hyperintensities of presumed vascular origin (WMH) are a common finding in elderly people and a growing social malady in the aging western societies. ...
In this review, we aimed to provide an overview of the characteristics, research subjects and segmentation techniques of these studies. ...
Their research subjects were "White matter hyperintensities and normal-appearing white matter integrity in the aging brain" (121) and "Incidental Findings on MRI" (122) . ...
doi:10.3389/fneur.2019.00238
pmid:30972001
pmcid:PMC6443932
fatcat:n45fokgg6rbddjieiampype4ju
Current Concepts of Analysis of Cerebral White Matter Hyperintensities on Magnetic Resonance Imaging
2005
Topics in Magnetic Resonance Imaging (TMRI)
Abnormal signals in cerebral white matter, although nonspecific, are increased in prevalence and severity in association with aging and cerebrovascular risk factors among older individuals. ...
The ubiquitous occurrence of these abnormal white matter signals commonly referred to as white matter hyperintensities (WMHs) and the association with cerebrovascular risk and cognitive impairment among ...
future stroke. 2, 3 White matter hyperintensities are therefore commonly considered part of the spectrum of vascular-related injury, particularly among older individuals. 4 White matter hyperintensities ...
doi:10.1097/01.rmr.0000245456.98029.a8
pmid:17088690
pmcid:PMC3771319
fatcat:jrr72rnmhnc3dofxit2ke4jlky
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images
[article]
2018
arXiv
pre-print
Though lesions have a bright intensity profile, it may overlap with white matter (WM) and gray matter (GM) tissues, posing difficulties to be accurately segmented. ...
The lesion intensity profile in FLAIR was on average 25% and 19% brighter than white matter and gray matter, respectively; comparatively, the same profile in our enhanced images was on average 444% and ...
To this end, a byproduct of our technique is the estimation of a white matter mask based on the hyperintensity map. ...
arXiv:1807.09619v1
fatcat:vorwrg2ckjgfner2hwoigg2wn4
Dynamic Changes in White Matter Hyperintensities in Reversible Cerebral Vasoconstriction Syndrome
2018
JAMA Neurology
White matter hyperintensities were predominantly frontal and periventricular. ...
CONCLUSIONS AND RELEVANCE White matter hyperintensities in patients with RCVS have a dynamic temporal evolution that parallels disease severity. ...
White matter hyperintensity segmented images were viewed in the same dimension as the native space FLAIR images. ...
doi:10.1001/jamaneurol.2018.1321
pmid:29868878
pmcid:PMC6143117
fatcat:smrxm3vldvhgblps4tbduop75i
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies
2014
Human Brain Mapping
Precise detection and quantification of white matter hyperintensities (WMH) observed in T2weighted Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI) is of substantial interest ...
Key words: white matter hyperintensities; support vector machines; random forests; segmentation r r r Ithapu et al. r r 4220 r ...
ACKNOWLEDGMENTS The authors thank Jia Xu for discussions and help with a preliminary version of the implementation. ...
doi:10.1002/hbm.22472
pmid:24510744
pmcid:PMC4107160
fatcat:lknptbzgabc3nbueh4vrb6xnxa
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting
2018
Computerized Medical Imaging and Graphics
Accurate quantification of white matter hyperintensities (WMH) from Magnetic Resonance Imaging (MRI) is a valuable tool for the analysis of normal brain ageing or neurodegeneration. ...
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. ...
Some of the data used in this work was collected by the AIBL study group. ...
doi:10.1016/j.compmedimag.2018.05.001
pmid:30172092
fatcat:p4wfycyro5gftijavitb4cl4c4
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