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Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 30, Iss. 18 — Sep. 15, 2005
  • pp: 2439–2441

Local diffusion regularization method for optical tomography reconstruction by using robust statistics

Abdel Douiri, Martin Schweiger, Jason Riley, and Simon Arridge  »View Author Affiliations


Optics Letters, Vol. 30, Issue 18, pp. 2439-2441 (2005)
http://dx.doi.org/10.1364/OL.30.002439


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Abstract

We formulate a solution to the diffuse optical tomography (DOT) inverse problem as the minimization of an energy functional of the solution and the data. For the solution prior we introduce a local diffusion regularization potential with a threshold based on robust statistics (the Hubert function). We compare results on simulated data for the Hubert function and two other standard regularization functionals, Tikhonov and total variation.

© 2005 Optical Society of America

OCIS Codes
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(100.6950) Image processing : Tomographic image processing
(170.5280) Medical optics and biotechnology : Photon migration

Citation
Abdel Douiri, Martin Schweiger, Jason Riley, and Simon Arridge, "Local diffusion regularization method for optical tomography reconstruction by using robust statistics," Opt. Lett. 30, 2439-2441 (2005)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-30-18-2439


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