Optimal data types in optical tomography

  • M. Schweiger
  • S. R. Arridge
Conference paper

DOI: 10.1007/3-540-63046-5_6

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


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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Copyright information

© Springer-Verlag 1997

Authors and Affiliations

  • M. Schweiger
    • 1
  • S. R. Arridge
    • 2
  1. 1.Dept. of Medical PhysicsUniversity College LondonUK
  2. 2.Dept. of Computer ScienceUniversity College LondonUK

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