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
(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)