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Research ArticleBRAIN
Open Access

Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods

S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira and X. Lladó
American Journal of Neuroradiology February 2015, DOI: https://doi.org/10.3174/ajnr.A4262
S. Valverde
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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A. Oliver
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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  • ORCID record for A. Oliver
Y. Díez
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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M. Cabezas
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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J.C. Vilanova
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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L. Ramió-Torrentà
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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À. Rovira
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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X. Lladó
From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A4262
PubMed 
25678478

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Published online February 12, 2015.

Article Versions

  • You are currently viewing a Latest version of this article (February 12, 2015 - 06:41).
  • View the most recent version of this article
Copyright & Usage 
© 2015 American Society of Neuroradiology Indicates open access to non-subscribers at www.ajnr.org

Author Information

  1. S. Valverde,
  2. A. Oliver,
  3. Y. Díez,
  4. M. Cabezas,
  5. J.C. Vilanova,
  6. L. Ramió-Torrentà,
  7. À. Rovira and
  8. X. Lladó
  1. From the Computer Vision and Robotics Group (S.V., A.O., Y.D., X.L.), University of Girona, Campus Montilivi, Girona, Spain; Girona Magnetic Resonance Center (J.C.V.), Girona, Spain; Multiple Sclerosis and Neuroimmunology Unit (L.R.-T.), Dr. Josep Trueta University Hospital, Institut d'Investigació Biomèdica de Girona, Girona, Spain; and Magnetic Resonance Unit (M.C., A.R.), Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain.
  1. Please address correspondence to Sergi Valverde, Ed. P-IV, Campus Montilivi, University of Girona, 17071 Girona, Spain; e-mail: svalverde{at}eia.udg.edu

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    Medical Image Analysis 2017 35
  • Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields
    Sérgio Pereira, Adriano Pinto, Jorge Oliveira, Adriënne M. Mendrik, José H. Correia, Carlos A. Silva
    Journal of Neuroscience Methods 2016 270
  • Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling
    Sergi Valverde, Arnau Oliver, Eloy Roura, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Jaume Sastre-Garriga, Xavier Montalban, Àlex Rovira, Xavier Lladó
    NeuroImage: Clinical 2015 9
  • Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation
    Sandra González-Villà, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó
    NeuroImage: Clinical 2017 15
  • Automated multiclass tissue segmentation of clinical brain MRIs with lesions
    David A. Weiss, Rachit Saluja, Long Xie, James C. Gee, Leo P Sugrue, Abhijeet Pradhan, R. Nick Bryan, Andreas M. Rauschecker, Jeffrey D. Rudie
    NeuroImage: Clinical 2021 31
  • Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI
    Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
    Bulletin of Mathematical Biology 2016 78 7
  • 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
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  • Multimodal Image Analysis for Assessing Multiple Sclerosis and Future Prospects Powered by Artificial Intelligence
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    Seminars in Ultrasound, CT and MRI 2020 41 3
  • The Impact of MRI T1 Hypointense Brain Lesions on Cerebral Deep Gray Matter Volume Measures in Multiple Sclerosis
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    Journal of Neuroimaging 2019 29 4
  • Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images
    Paulo G.L. Freire, Ricardo J. Ferrari
    Biomedical Signal Processing and Control 2019 49
  • Automated White Matter Lesions Segmentation of MRIs for Multiple Sclerosis Detection Using Fuzzy-Entropy Algorithm
    Monoj Kumar Muchahari, Pritpal Singh, Shirsendu Das
    International Journal of Fuzzy Systems 2024
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S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira, X. Lladó
Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods
American Journal of Neuroradiology Feb 2015, DOI: 10.3174/ajnr.A4262

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Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods
S. Valverde, A. Oliver, Y. Díez, M. Cabezas, J.C. Vilanova, L. Ramió-Torrentà, À. Rovira, X. Lladó
American Journal of Neuroradiology Feb 2015, DOI: 10.3174/ajnr.A4262
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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Automated tissue segmentation of MR brain images in the presence of white matter lesions
    Sergi Valverde, Arnau Oliver, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Xavier Lladó
    Medical Image Analysis 2017 35
  • Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields
    Sérgio Pereira, Adriano Pinto, Jorge Oliveira, Adriënne M. Mendrik, José H. Correia, Carlos A. Silva
    Journal of Neuroscience Methods 2016 270
  • Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling
    Sergi Valverde, Arnau Oliver, Eloy Roura, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Jaume Sastre-Garriga, Xavier Montalban, Àlex Rovira, Xavier Lladó
    NeuroImage: Clinical 2015 9
  • Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation
    Sandra González-Villà, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó
    NeuroImage: Clinical 2017 15
  • Automated multiclass tissue segmentation of clinical brain MRIs with lesions
    David A. Weiss, Rachit Saluja, Long Xie, James C. Gee, Leo P Sugrue, Abhijeet Pradhan, R. Nick Bryan, Andreas M. Rauschecker, Jeffrey D. Rudie
    NeuroImage: Clinical 2021 31
  • Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI
    Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh
    Bulletin of Mathematical Biology 2016 78 7
  • 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
    NeuroImage: Clinical 2021 29
  • Multimodal Image Analysis for Assessing Multiple Sclerosis and Future Prospects Powered by Artificial Intelligence
    Minjeong Kim, Valerie Jewells
    Seminars in Ultrasound, CT and MRI 2020 41 3
  • The Impact of MRI T1 Hypointense Brain Lesions on Cerebral Deep Gray Matter Volume Measures in Multiple Sclerosis
    Korhan Buyukturkoglu, Enricomaria Mormina, Philip L. De Jager, Claire S. Riley, Victoria M. Leavitt
    Journal of Neuroimaging 2019 29 4
  • Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images
    Paulo G.L. Freire, Ricardo J. Ferrari
    Biomedical Signal Processing and Control 2019 49

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