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Biennial International Conference on Information Processing in Medical Imaging

IPMI 1997: Information Processing in Medical Imaging pp 285–298Cite as

Space-time statistical model for functional MRI image sequences

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

Abstract

Changes in cerebral blood oxygenation and flow during activation of human brain can be measured using functional magnetic resonance imaging (fMRI) data acquired during periodic sensory stimulation. Ideally, spatial and temporal correlations in the acquired data should all be taken into account to derive statistical parametric maps (SPM) and to identify significant changes in fMRI signal. This paper proposes a multivariate statistical model for brain activation detection accounting for both the spatial and temporal correlations. This model considers a space-time variant error and a spatial Markov random field process is used to yield an unbiased estimate of the SPM. As the number of pixels is large enough, the asymptotic theory is used to derive a threshold allowing the identification of activated areas in the SPM. The method is illustrated on sensorimotor experiments performed on normal subjects using 1.5T gradient-echo MRI.

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Author information

Authors and Affiliations

  1. CHU Pitié Salpêtrière, U66 INSERM, 75634, Paris

    H. Benali, I. Buvat, M. Pélégrini, M. Di Paola & R. Di Paola

  2. CJF 93-03, CREARE, 9 quai Saint Bernard, 75005, Paris

    J. L. Anton & Y. Burnod

  3. U2R2M-CIERM, 78 rue du Général Leclerc, 94275, Le Kremlin-Bicêtre

    J. Bittoun

Authors
  1. H. Benali
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  2. I. Buvat
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  3. J. L. Anton
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  4. M. Pélégrini
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  5. M. Di Paola
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  6. J. Bittoun
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  7. Y. Burnod
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  8. R. Di Paola
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Editor information

James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Benali, H. et al. (1997). Space-time statistical model for functional MRI image sequences. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_22

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  • DOI: https://doi.org/10.1007/3-540-63046-5_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive

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