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Applied Optics

Applied Optics


  • Vol. 38, Iss. 13 — May. 1, 1999
  • pp: 2950–2961

Spatially Variant Regularization Improves Diffuse Optical Tomography

Brian W. Pogue, Troy O. McBride, Judith Prewitt, Ulf L. Österberg, and Keith D. Paulsen  »View Author Affiliations

Applied Optics, Vol. 38, Issue 13, pp. 2950-2961 (1999)

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Diffuse tomography with near-infrared light has biomedical application for imaging hemoglobin, water, lipids, cytochromes, or exogenous contrast agents and is being investigated for breast cancer diagnosis. A Newton–Raphson inversion algorithm is used for image reconstruction of tissue optical absorption and transport scattering coefficients from frequency-domain measurements of modulated phase shift and light intensity. A variant of Tikhonov regularization is examined in which radial variation is allowed in the value of the regularization parameter. This method minimizes high-frequency noise in the reconstructed image near the source–detector locations and can produce constant image resolution and contrast across the image field.

© 1999 Optical Society of America

OCIS Codes
(110.6960) Imaging systems : Tomography
(110.7050) Imaging systems : Turbid media
(170.6960) Medical optics and biotechnology : Tomography
(170.7050) Medical optics and biotechnology : Turbid media

Brian W. Pogue, Troy O. McBride, Judith Prewitt, Ulf L. Österberg, and Keith D. Paulsen, "Spatially Variant Regularization Improves Diffuse Optical Tomography," Appl. Opt. 38, 2950-2961 (1999)

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