Abstract

A reconstruction algorithm for multiwavelength diffuse optical tomography is presented, where instead of using data at each wavelength separately or even simultaneously, the difference in data for multiple wavelength pairs is used to reconstruct absolute concentration maps of chromophores. The results indicate a dramatic improvement in image reconstruction and the elimination of image artifacts, which are often associated with unknown measurement errors such as coupling coefficients and external boundary variations, because these errors are often less dependent on wavelength, and are effectively removed from the data set of the first derivative of intensity with respect to wavelength.

© 2005 Optical Society of America

Spectral priors improve near-infrared diffuse tomography more than spatial priors

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Spectrally constrained chromophore and scattering near-infrared tomography provides quantitative and robust reconstruction

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Matthew E. Eames and Hamid Dehghani
Opt. Express 16(22) 17780-17791 (2008)