Filters








180 Hits in 8.8 sec

Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation

Thomas Samaille, Ludovic Fillon, Rémi Cuingnet, Eric Jouvent, Hugues Chabriat, Didier Dormont, Olivier Colliot, Marie Chupin, Karl Herholz
2012 PLoS ONE  
This paper introduced WHASA (White matter Hyperintensities Automated Segmentation Algorithm), a new method for automatically segmenting WMH from FLAIR and T1 images in multicentre studies.  ...  White matter hyperintensities (WMH) on T2 or FLAIR sequences have been commonly observed on MR images of elderly people.  ...  Conclusions WHASA is a new method for automatically segmenting white matter hyperintensities from FLAIR and T1 images in multi centre studies, for which it proved to be reliable and robust.  ... 
doi:10.1371/journal.pone.0048953 pmid:23152828 pmcid:PMC3495958 fatcat:d4odvpsiifgkzjcebarjj3qeje

Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease

François De Guio, Eric Jouvent, Geert Jan Biessels, Sandra E Black, Carol Brayne, Christopher Chen, Charlotte Cordonnier, Frank-Eric De Leeuw, Martin Dichgans, Fergus Doubal, Marco Duering, Carole Dufouil (+29 others)
2016 Journal of Cerebral Blood Flow and Metabolism  
sources of variability; and, 3) the techniques used to minimise this variability.  ...  This review focuses on the main SVD-related markers on MRI including: white matter hyperintensities, lacunes, dilated perivascular spaces, microbleeds and brain volume.  ...  The authors declare no conflict of interest. Supplementary material for this paper can be found at http://jcbfm.sagepub.com/content/by/supplemental-data  ... 
doi:10.1177/0271678x16647396 pmid:27170700 pmcid:PMC4976752 fatcat:62yvvbsgorgnbnlgv6v3w3j3bu

Automatic segmentation of White Matter Hyperintensities: validation and comparison with state-of-the-art methods on both Multiple Sclerosis and elderly subjects

Philippe Tran, Urielle Thoprakarn, Emmanuelle Gourieux, Clarisse Longo dos Santos, Enrica Cavedo, Nicolas Guizard, François Cotton, Pierre Krolak-Salmon, Christine Delmaire, Damien Heidelberg, Nadya Pyatigorskaya, Sébastian Ströer (+3 others)
2022 NeuroImage: Clinical  
Here, we aim at proposing the White matter Hyperintensities Automatic Segmentation Algorithm adapted to 3D T2-FLAIR datasets (WHASA-3D), a fast and robust automatic segmentation tool designed to be implemented  ...  Evaluation and comparison results suggest that WHASA-3D is a reliable and easy-to-use method for the automated segmentation of white matter hyperintensities, for both MS lesions and age-related WMH.  ...  Here, we aim at proposing the White matter Hyperintensities Automatic Segmentation Algorithm adapted to 3D T2-FLAIR datasets (WHASA-3D), a fast and robust automatic segmentation tool designed to be implemented  ... 
doi:10.1016/j.nicl.2022.102940 pmid:35051744 pmcid:PMC8896108 fatcat:tcjpnabttbhvvpwgmnacb36chy

Leveraging 3D Information in Unsupervised Brain MRI Segmentation [article]

Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2021 arXiv   pre-print
Learning is performed using a multicentric dataset of healthy brain MRIs, and segmentation performances are estimated on White-Matter Hyperintensities and tumors lesions.  ...  Automatic segmentation of brain abnormalities is challenging, as they vary considerably from one pathology to another.  ...  We use a collection of 196 scans with annotated White-Matter Hyperintensities (WMH) gathered from several opensource datasets : the MICCAI MSSEG Challenge [13] , the ISBI MS Lesion Challenge [14] , and  ... 
arXiv:2101.10674v1 fatcat:gz64jqhmp5gxvfrsu7nwdb4zou

Leveraging 3d Information In Unsupervised Brain Mri Segmentation

Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2021 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)  
Learning is performed using a multicentric dataset of healthy brain MRIs, and segmentation performances are estimated on White-Matter Hyperintensities and tumors lesions.  ...  Automatic segmentation of brain abnormalities is challenging, as they vary considerably from one pathology to another.  ...  ACKNOWLEDGMENTS BL, ML, SD and AT are employees of the Pixyl Company. MD and FF serve on Pixyl advisory board.  ... 
doi:10.1109/isbi48211.2021.9433894 fatcat:irh7fizdwfh53ahgyelrencuim

FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis

O. Goodkin, F. Prados, S.B. Vos, H. Pemberton, S. Collorone, M.H.J. Hagens, M.J. Cardoso, T.A. Yousry, J.S. Thornton, C.H. Sudre, F. Barkhof
2020 NeuroImage: Clinical  
We explore whether FLAIR-only grey matter (GM) segmentation yields more variability in performance compared with two-channel segmentation; whether this is related to field strength; and whether the results  ...  MRI assessment in multiple sclerosis (MS) focuses on the presence of typical white matter (WM) lesions.  ...  Supplementary data Supplementary data to this article can be found online at https://doi. org/10.1016/j.nicl.2020.102542.  ... 
doi:10.1016/j.nicl.2020.102542 pmid:33418171 pmcid:PMC7804983 fatcat:hrg7djmrvfhhbg6gxjcabbbnae

Design, data management, and population baseline characteristics of the PERFORM magnetic resonance imaging project

P. Maeder, L. Bracoud, H. Chabriat, A. Gass, P. Michel, M. Hennerici
2010 Journal of Neurology  
This large international multicentre study demonstrates how new MRI readouts can be used to provide key information on the evolution of cerebral tissue lesions and within the macrovasculature after atherothrombotic  ...  The data analysis included 3D reformation, image registration of different contrasts, tissue segmentation, and automated lesion detection.  ...  MRI assessment Focal tissue changes related to the vascular pathology were to be assessed from M1 and M24 on FLAIR (new incidental infarcts and other white matter changes and changes of lesion volume),  ... 
doi:10.1007/s00415-010-5841-8 pmid:21128081 pmcid:PMC3090565 fatcat:sevavh4xxnhcrpau3ugltifusu

MRI Radiomic Signature of White Matter Hyperintensities Is Associated with Clinical Phenotypes [article]

Martin Bretzner, Anna K. Bonkhoff, Markus D. Schirmer, Sungmin Hong, Adrian Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Pamela M. Rist, Marco Nardin, Razvan Marinescu, Clinton Wang (+41 others)
2021 bioRxiv   pre-print
We sought to: 1) evaluate this novel approach to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and 2) uncover associations between predictive radiomic features  ...  We built a radiomic signature of WMH with the most stable selected features predictive of WMH burden and then related this signature to clinical variables (age, sex, hypertension (HTN), atrial fibrillation  ...  MRE is supported by the American Academy of Neurology and MGH Executive Council on Research. TT was supported by the Helsinki University Central Hospital, Sigrid  ... 
doi:10.1101/2021.01.24.427986 fatcat:oemzvexwuner3p2yam3whqzpdi

Corpus callosum atrophy is associated with mental slowing and executive deficits in subjects with age-related white matter hyperintensities: the LADIS Study

H. Jokinen, C. Ryberg, H. Kalska, R. Ylikoski, E. Rostrup, M. B Stegmann, G. Waldemar, S. Madureira, J. M Ferro, E. C W van Straaten, P. Scheltens, F. Barkhof (+6 others)
2006 Journal of Neurology, Neurosurgery and Psychiatry  
Objective: To investigate the role of regional corpus callosum atrophy in mental speed, attention and executive functions in subjects with age-related white matter hyperintensities (WMH).  ...  Conclusions: Corpus callosum atrophy seems to contribute to cognitive decline independently of age, education, coexisting WMH and stroke.  ...  , history of stroke and volume of white matter hyperintensities.  ... 
doi:10.1136/jnnp.2006.096792 pmid:17028118 pmcid:PMC2117833 fatcat:g2lkxsmferdvdfhq4am6ei6pki

MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes

Martin Bretzner, Anna K. Bonkhoff, Markus D. Schirmer, Sungmin Hong, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Pamela M. Rist, Marco Nardin, Razvan Marinescu, Clinton Wang (+44 others)
2021 Frontiers in Neuroscience  
We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and  ...  We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA).ResultsRadiomic  ...  White matter hyperintensities represent a cardinal feature among radiological manifestations of brain aging and SVD.  ... 
doi:10.3389/fnins.2021.691244 pmid:34321995 pmcid:PMC8312571 fatcat:ixzkolwa6jhxbbksyzuc3f34re

Brain iron deposits and lifespan cognitive ability

Maria del C. Valdés Hernández, Stuart Ritchie, Andreas Glatz, Mike Allerhand, Susana Muñoz Maniega, Alan J. Gow, Natalie A. Royle, Mark E. Bastin, John M. Starr, Ian J. Deary, Joanna M. Wardlaw
2015 Age  
Iron deposits in other parts of the brain (i.e., white matter, thalamus, brainstem and cortex), brain tissue volume and white matter hyperintensities (WMH) were assessed separately and semi-automatically  ...  The total volume of iron deposits had a small but significant negative association with all three cognitive ability factors in later life (mean r=−0.165), but no relation to intelligence in childhood (  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11357-015-9837-2 pmid:26378028 pmcid:PMC5005839 fatcat:ns6rdwoc3zdjxmhbyra5al2kly

White matter hyperintensities in progranulin-associated frontotemporal dementia – a longitudinal GENFI study

Carole H. Sudre, Martina Bocchetta, Carolin Heller, Rhian Convery, Mollie Neason, Katrina M. Moore, David M. Cash, David L. Thomas, Ione O.C. Woollacott, Martha Foiani, Amanda Heslegrave, Rachelle Shafei (+29 others)
2019 NeuroImage: Clinical  
WMH were automatically segmented and locally subdivided to enable a more detailed representation of the pathology distribution.  ...  Presence on T2-weighted images of white matter hyperintensities (WMH) has been previously shown to be more commonly associated with GRN mutations rather than other forms of FTD.  ...  Acknowledgement We thank the study participants and their families for taking part in the GENFI study List of GENFI consortium authors Martin N. Rossor MD FRCP 1 , Jason D.  ... 
doi:10.1016/j.nicl.2019.102077 pmid:31835286 pmcid:PMC6911860 fatcat:mxmzltruaba4nfpl56ummodpfq

Topological relationships between perivascular spaces and progression of white matter hyperintensities: A pilot study in a sample of the Lothian Birth Cohort 1936

Abbie Barnes, Lucia Ballerini, Maria del C. Valdés Hernández, Francesca M. Chappell, Susana Muñoz Maniega, Rozanna Meijboom, Ellen V. Backhouse, Michael S. Stringer, Roberto Duarte Coello, Rosalind Brown, Mark E. Bastin, Simon R. Cox (+2 others)
2022 Frontiers in Neurology  
alongside semi-automatic segmentation masks for PVS and WMH, to assess relationships.  ...  Enlarged perivascular spaces (PVS) and white matter hyperintensities (WMH) are features of cerebral small vessel disease which can be seen in brain magnetic resonance imaging (MRI).  ...  Aribisala for their contributions to the development or generation of WMH segmentations throughout the different waves of the LBC 1936 Study.  ... 
doi:10.3389/fneur.2022.889884 pmid:36090857 pmcid:PMC9449650 fatcat:jvutdtarybgzhdfzulo2s2fh3u

Segmentation of white matter lesions in multicentre FLAIR MRI

April Khademi, Adam Gibicar, Giordano Arezza, Justin DiGregorio, Pascal N. Tyrrell, Alan R. Moody
2021 Neuroimage: Reports  
White matter lesions (WML) in the brain are thought to be related to ischemic processes, demyelination, and axonal degeneration.  ...  To examine clinical utility of each algorithm and establish proof of effectiveness, algorithms were evaluated over several dimensions related to accuracy, generalizability, and robustness to pathology.  ...  Acknowledgements • We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) through the NSERC Discovery Grant program. • The Canadian Atherosclerosis Imaging  ... 
doi:10.1016/j.ynirp.2021.100044 fatcat:4zv2p3j34rbdzaj5kflgxyjdbq

Perivascular spaces in the centrum semiovale at the beginning of the 8th decade of life: effect on cognition and associations with mineral deposition

Maria del C. Valdés Hernández, Lucia Ballerini, Andreas Glatz, Susana Muñoz Maniega, Alan J. Gow, Mark E. Bastin, John M. Starr, Ian J. Deary, Joanna M. Wardlaw
2019 Brain Imaging and Behavior  
white matter hyperintensity volume.  ...  Brain iron deposits (IDs) are indicative of microvessel dysfunction which may predispose to small vessel disease (SVD) brain damage and worsen cognition later in life.  ...  Brain IDs and CSO-PVS have been separately associated with the burden of white matter hyperintensities (WMH), mainly thought to be of vascular origin, and whose progression has been linked to endothelial  ... 
doi:10.1007/s11682-019-00128-1 pmid:31250262 fatcat:bhhzlw24mbckxkqci5kh5yq4x4
« Previous Showing results 1 — 15 out of 180 results