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Research ArticleExtracranial Vascular

Automated Versus Manual In Vivo Segmentation of Carotid Plaque MRI

R. van 't Klooster, O. Naggara, R. Marsico, J.H.C. Reiber, J.-F. Meder, R.J. van der Geest, E. Touzé and C. Oppenheim
American Journal of Neuroradiology September 2012, 33 (8) 1621-1627; DOI: https://doi.org/10.3174/ajnr.A3028
R. van 't Klooster
aFrom the Division of Image Processing, Department of Radiology (R.v.t.K., J.H.C.R., R.J.v.d.G.), Leiden University Medical Center, Leiden, The Netherlands
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O. Naggara
bUniversité Paris Descartes, INSERM UMR 894, Service d'Imagerie Morphologique et Fonctionnelle (O.N., R.M., J.-F.M., C.O.), Centre Hospitalier Sainte-Anne, Paris, France
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R. Marsico
bUniversité Paris Descartes, INSERM UMR 894, Service d'Imagerie Morphologique et Fonctionnelle (O.N., R.M., J.-F.M., C.O.), Centre Hospitalier Sainte-Anne, Paris, France
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J.H.C. Reiber
aFrom the Division of Image Processing, Department of Radiology (R.v.t.K., J.H.C.R., R.J.v.d.G.), Leiden University Medical Center, Leiden, The Netherlands
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J.-F. Meder
bUniversité Paris Descartes, INSERM UMR 894, Service d'Imagerie Morphologique et Fonctionnelle (O.N., R.M., J.-F.M., C.O.), Centre Hospitalier Sainte-Anne, Paris, France
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R.J. van der Geest
aFrom the Division of Image Processing, Department of Radiology (R.v.t.K., J.H.C.R., R.J.v.d.G.), Leiden University Medical Center, Leiden, The Netherlands
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E. Touzé
cUniversité Paris Descartes, INSERM UMR 894, Service de Neurologie Vasculaire (E.T.), Centre Hospitalier Sainte-Anne, Paris, France
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C. Oppenheim
bUniversité Paris Descartes, INSERM UMR 894, Service d'Imagerie Morphologique et Fonctionnelle (O.N., R.M., J.-F.M., C.O.), Centre Hospitalier Sainte-Anne, Paris, France
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Article Information

vol. 33 no. 8 1621-1627
DOI 
https://doi.org/10.3174/ajnr.A3028
PubMed 
22442043

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received September 25, 2011
  • Accepted after revision December 5, 2011
  • Published online September 10, 2012.

Copyright & Usage 
© 2012 by American Journal of Neuroradiology

Author Information

  1. R. van 't Kloostera,
  2. O. Naggarab,
  3. R. Marsicob,
  4. J.H.C. Reibera,
  5. J.-F. Mederb,
  6. R.J. van der Geesta,
  7. E. Touzéc and
  8. C. Oppenheimb
  1. aFrom the Division of Image Processing, Department of Radiology (R.v.t.K., J.H.C.R., R.J.v.d.G.), Leiden University Medical Center, Leiden, The Netherlands
  2. bUniversité Paris Descartes, INSERM UMR 894, Service d'Imagerie Morphologique et Fonctionnelle (O.N., R.M., J.-F.M., C.O.), Centre Hospitalier Sainte-Anne, Paris, France
  3. cUniversité Paris Descartes, INSERM UMR 894, Service de Neurologie Vasculaire (E.T.), Centre Hospitalier Sainte-Anne, Paris, France
  1. Please address correspondence to C. Oppenheim, Service d'Imagerie Morphologique et Fonctionnelle, Centre Hospitalier Sainte-Anne, 1 rue Cabanis, 75014, Paris, France; e-mail: c.oppenheim{at}ch-sainte-anne.fr
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American Journal of Neuroradiology: 33 (8)
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Cite this article
R. van 't Klooster, O. Naggara, R. Marsico, J.H.C. Reiber, J.-F. Meder, R.J. van der Geest, E. Touzé, C. Oppenheim
Automated Versus Manual In Vivo Segmentation of Carotid Plaque MRI
American Journal of Neuroradiology Sep 2012, 33 (8) 1621-1627; DOI: 10.3174/ajnr.A3028

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Automated Versus Manual In Vivo Segmentation of Carotid Plaque MRI
R. van 't Klooster, O. Naggara, R. Marsico, J.H.C. Reiber, J.-F. Meder, R.J. van der Geest, E. Touzé, C. Oppenheim
American Journal of Neuroradiology Sep 2012, 33 (8) 1621-1627; DOI: 10.3174/ajnr.A3028
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  • Association of Progression of Carotid Artery Wall Volume and Recurrent Transient Ischemic Attack or Stroke: A Magnetic Resonance Imaging Study
  • Crossref (28)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
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  • Atherosclerotic Plaque Tissue: Noninvasive Quantitative Assessment of Characteristics with Software-aided Measurements from Conventional CT Angiography
    Malachi Sheahan, Xiaonan Ma, David Paik, Nancy A. Obuchowski, Samantha St. Pierre, William P. Newman, Guenevere Rae, Eric S. Perlman, Michael Rosol, James C. Keith, Andrew J. Buckler
    Radiology 2018 286 2
  • A review of computational methods applied for identification and quantification of atherosclerotic plaques in images
    Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R.S. Tavares
    Expert Systems with Applications 2016 46
  • Association of Progression of Carotid Artery Wall Volume and Recurrent Transient Ischemic Attack or Stroke
    Mingming Lu, Peng Peng, Yuanyuan Cui, Huiyu Qiao, Dongye Li, Jianming Cai, Xihai Zhao
    Stroke 2018 49 3
  • Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning
    Arna van Engelen, Anouk C. van Dijk, Martine T. B. Truijman, Ronald van't Klooster, Annegreet van Opbroek, Aad van der Lugt, Wiro J. Niessen, M. Eline Kooi, Marleen de Bruijne
    IEEE Transactions on Medical Imaging 2015 34 6
  • Can Shape Analysis Differentiate Free-floating Internal Carotid Artery Thrombus from Atherosclerotic Plaque in Patients Evaluated with CTA for Stroke or Transient Ischemic Attack?
    Rebecca E. Thornhill, Cheemun Lum, Arash Jaberi, Pawel Stefanski, Carlos H. Torres, Franco Momoli, William Petrcich, Dar Dowlatshahi
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  • Atherosclerotic Plaque Component Segmentation in Combined Carotid MRI and CTA Data Incorporating Class Label Uncertainty
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    PLoS ONE 2014 9 4
  • Automated registration of multispectral MR vessel wall images of the carotid artery
    R. van ˈt Klooster, M. Staring, S. Klein, R. M. Kwee, M. E. Kooi, J. H. C. Reiber, B. P. F. Lelieveldt, R. J. van der Geest
    Medical Physics 2013 40 12
  • Repeatability of in vivo quantification of atherosclerotic carotid artery plaque components by supervised multispectral classification
    Shan Gao, Ronald van ’t Klooster, Diederik F. van Wijk, Aart J. Nederveen, Boudewijn P. F. Lelieveldt, Rob J. van der Geest
    Magnetic Resonance Materials in Physics, Biology and Medicine 2015 28 6
  • Spatio‐temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model
    Tao Wan, Anant Madabhushi, Alkystis Phinikaridou, James A. Hamilton, Ning Hua, Tuan Pham, Jovanna Danagoulian, Ross Kleiman, Andrew J. Buckler
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More in this TOC Section

  • Proximal Vertebral Artery Variants and Embryology
  • High-Risk Plaque Features in Carotid MRI
  • Nonstenotic Carotid Plaques and Stroke Review
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