title: Spatially variant regularization improves diffuse optical tomography.
abstract: 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.
authors.affiliation: Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA. Pogue@Dartmouth.edu
authors.forename: B W
authors.initials: BW
authors.lastname: Pogue
authors.forename: T O
authors.initials: TO
authors.lastname: McBride
authors.forename: J
authors.initials: J
authors.lastname: Prewitt
authors.forename: U L
authors.initials: UL
authors.lastname: Osterberg
authors.forename: K D
authors.initials: KD
authors.lastname: Paulsen