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Blind Signal Separation from Optical Imaging Data

  • Conference paper
Mustererkennung 2000

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

Optical imaging is the video recording of two-dimensional patterns of changes in light reflectance from cortical tissue evoked by Stimulation. We derived a method, called extended spatial decorrelation (ESD), that uses second order statistics in space for separating the intrinsic signals into the stimulus related components and the nonspecific variations. The Performance of ESD on model data is compared to independent component analysis (ICA) algorithms using statistics of 4th and higher order. Robustness against sensor noise is scored. When applied to optical images, ESD separates the stimulus specific signal well from biological noise and artifacts.

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Author information

Authors and Affiliations

  1. Technische Universität Berlin, FR2-1, Franklinstr. 28-29, 10587, Berlin, Germany

    Ingo Schießl, Martin Stetter & Klaus Obermayer

  2. AIVRU Sheffield, Dept. of Psychology, University of Sheffield, S10 2TP, UK

    John E. W. Mayhew

  3. Dept. of Visual Science, Institute of Ophthalmology, UCL, London, EC1V 9EL, UK

    Niall McLoughlin & Jenny S. Lund

Authors
  1. Ingo Schießl
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  2. Martin Stetter
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  3. John E. W. Mayhew
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  4. Niall McLoughlin
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  5. Jenny S. Lund
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  6. Klaus Obermayer
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Editor information

Editors and Affiliations

  1. Institut für Informatik und Praktische Mathematik, Christian-Albrechts Universität Kiel, Preußerstr. 1-9, 24105, Kiel, Deutschland

    Gerald Sommer , Norbert Krüger  & Christian Perwass ,  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Schießl, I., Stetter, M., Mayhew, J.E.W., McLoughlin, N., Lund, J.S., Obermayer, K. (2000). Blind Signal Separation from Optical Imaging Data. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-59802-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67886-1

  • Online ISBN: 978-3-642-59802-9

  • eBook Packages: Springer Book Archive

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