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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2014: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 pp 170–178Cite as

Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 8674)

Abstract

We propose a multispectral MRI-based clinical decision support approach to carry out automated seizure focus lateralization in patients with temporal lobe epilepsy (TLE). Based on high-resolution T1- and T2-weighted MRI with hippocampal subfield segmentations, our approach samples MRI features along the medial sheet of each subfield to minimize partial volume effects. To establish correspondence of sampling points across subjects, we propagate a spherical harmonic parameterization derived from the hippocampal boundary along a Laplacian gradient field towards the medial sheet. Volume and intensity data sampled on the medial sheet are finally fed into a supervised classifier. Testing our approach in TLE patients in whom the seizure focus could not be lateralized using conventional MR volumetry, the proposed approach correctly lateralized all patients and outperformed classification performance based on global subfield volumes or mean T2-intensity (100% vs. 68%). Moreover, statistical group-level comparisons revealed patterns of subfield abnormalities that were not evident in the global measurements and that largely agree with known histopathological changes.

Keywords

  • multispectral MRI
  • computerized clinical decision support system
  • hippocampal subfield analysis
  • epilepsy

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Author information

Authors and Affiliations

  1. Department of Neurology and McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada

    Hosung Kim, Boris C. Bernhardt, Jessie Kulaga-Yoskovitz, Benoit Caldairou, Andrea Bernasconi & Neda Bernasconi

Authors
  1. Hosung Kim
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  2. Boris C. Bernhardt
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  3. Jessie Kulaga-Yoskovitz
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  4. Benoit Caldairou
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  5. Andrea Bernasconi
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  6. Neda Bernasconi
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Editor information

Editors and Affiliations

  1. MIT CSAIL, 32 Vassar Street, 02139, Cambridge, MA, USA

    Polina Golland

  2. Department of Radiology, Brigham and Women’s Hospital, 75 Francis St., 02115, Boston, MA, USA

    Nobuhiko Hata

  3. IRISA, CNRS/Inria Research Unit Visages, Campus Universitaire de Beaulieu, 35042, Rennes Cedex, France,

    Christian Barillot

  4. Pattern Recognition Lab, University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Germany

    Joachim Hornegger

  5. Harvard School of Engineering and Applied Sciences, 323 Pierce Hall, 29 Oxford Street, 02138, Cambridge, MA, USA

    Robert Howe

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Kim, H., Bernhardt, B.C., Kulaga-Yoskovitz, J., Caldairou, B., Bernasconi, A., Bernasconi, N. (2014). Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8674. Springer, Cham. https://doi.org/10.1007/978-3-319-10470-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-10470-6_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10469-0

  • Online ISBN: 978-3-319-10470-6

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