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Optimal data types in optical tomography

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Information Processing in Medical Imaging (IPMI 1997)

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

Abstract

This paper addresses the problem of image reconstruction in optical tomography with respect to the measurement types used. We demonstrate the difficulty of the simultaneous reconstruction of absorption and diffusion images, by using both a simple circular case with embedded inhomogeneities, and a complex neonatal head model, and show that improvements are possible by combining suitable measurement types. We analyse the potential ability of the reconstruction program to separate absorption and scattering features by plotting the error norm as a function of absorption and scattering coefficient in the singleperturbation case for a number of different measurement types.

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Authors and Affiliations

  1. Dept. of Medical Physics, University College London, UK

    M. Schweiger

  2. Dept. of Computer Science, University College London, UK

    S. R. Arridge

Authors
  1. M. Schweiger
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  2. S. R. Arridge
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James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Schweiger, M., Arridge, S.R. (1997). Optimal data types in optical tomography. 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_6

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  • DOI: https://doi.org/10.1007/3-540-63046-5_6

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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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