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Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis

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Multimodal Brain Image Analysis (MBIA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8159))

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Abstract

Cortical multiple sclerosis (MS) lesions are very hard to detect on magnetic resonance images, even though histopathology studies reveal that their extent can be important. Certain pulse sequences are known to help detect the lesions, but this detection is still very incomplete. To aid detection, we propose to use a cortical surface-based analysis of multi-contrast MR data in MS and healthy control subjects. We show that magnetization transfer ratio and T1-weighted scans both show differences at the group level between relapsing-remitting MS patients and healthy controls. This suggests that this approach would be useful to help detect cortical pathology in MS.

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Author information

Authors and Affiliations

  1. Montreal Neurological Institute, McGill University, Montreal, Canada

    Marika Archambault-Wallenburg, Douglas Arnold, Sridar Narayanan, G. Bruce Pike & D. Louis Collins

Authors
  1. Marika Archambault-Wallenburg
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  2. Douglas Arnold
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  3. Sridar Narayanan
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  4. G. Bruce Pike
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  5. D. Louis Collins
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Editor information

Editors and Affiliations

  1. Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA

    Li Shen

  2. Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, University of Georgia, Athens, GA, USA

    Tianming Liu

  3. Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, U.S.A.

    Pew-Thian Yap

  4. Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA

    Heng Huang

  5. Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA

    Dinggang Shen

  6. Surgical Planning Laboratory, BWH, Harvard Medical School, Boston, MA, USA

    Carl-Fredrik Westin

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© 2013 Springer International Publishing Switzerland

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Archambault-Wallenburg, M., Arnold, D., Narayanan, S., Pike, G.B., Collins, D.L. (2013). Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis. In: Shen, L., Liu, T., Yap, PT., Huang, H., Shen, D., Westin, CF. (eds) Multimodal Brain Image Analysis. MBIA 2013. Lecture Notes in Computer Science, vol 8159. Springer, Cham. https://doi.org/10.1007/978-3-319-02126-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-02126-3_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02125-6

  • Online ISBN: 978-3-319-02126-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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