Spatially variant regularization improves diffuse optical tomography

被引：233

作者：

Pogue, BW ^{[1
]}

McBride, TO ^{[1
]}

Prewitt, J ^{[1
]}

Österberg, UL ^{[1
]}

Paulsen, KD ^{[1
]}

机构：

[1] Dartmouth Coll, Thayer Sch Engn, Hanover, NH 03755 USA

来源：

APPLIED OPTICS | 1999年 / 38卷 / 13期

关键词：

D O I：

10.1364/AO.38.002950

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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. (C) 1999 Optical Society of America OCIS codes: 110.6960, 110.7050, 170.6960, 170.7050.

引用

页码：2950 / 2961

页数：12

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