A fundamental limitation of linearized algorithms for diffuse optical tomography
Diffuse Optical Tomography is rapidly developing as a new imaging modality for characterizing the spatially varying optical properties of media which strongly scatter light (e.g. tissue). Numerous imaging algorithms exist, and more are being developed. Many of these algorithms rely on assumptions which linearize the relationship between the optical contrast and the perturbed signal. We show that this linear approximation makes quantitative imaging of spatially varying optical properties impossible. The explanation for this result is presented and the implication for Diffuse Optical Tomography is discussed. ©1997 Optical Society of America When light is incident on a strongly scattering medium like tissue or clouds, the ballistic light is quickly attenuated through scattering, and imaging capabilities are generally assumed to be lost. Recently, there have been significant research efforts to model the transport of light through strongly scattering media in order to characterize the opti
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