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Diffuse optics for tissue monitoring and tomography
This review describes the diffusion model for light transport in tissues and the medical
applications of diffuse light. Diffuse optics is particularly useful for measurement of tissue …
applications of diffuse light. Diffuse optics is particularly useful for measurement of tissue …
Statistical analysis of fNIRS data: a comprehensive review
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …
Looking and listening to light: the evolution of whole-body photonic imaging
Optical imaging of live animals has grown into an important tool in biomedical research as
advances in photonic technology and reporter strategies have led to widespread exploration …
advances in photonic technology and reporter strategies have led to widespread exploration …
Recent advances in diffuse optical imaging
We review the current state-of-the-art of diffuse optical imaging, which is an emerging
technique for functional imaging of biological tissue. It involves generating images using …
technique for functional imaging of biological tissue. It involves generating images using …
Optical tomography: forward and inverse problems
This is a review of recent mathematical and computational advances in optical tomography.
We discuss the physical foundations of forward models for light propagation on microscopic …
We discuss the physical foundations of forward models for light propagation on microscopic …
Parameter estimation with the multigrid-homotopy method for a nonlinear diffusion equation
This paper is concerned with the numerical identification of the piecewise constant
permeability function for a nonlinear diffusion equation within the two-phase porous media …
permeability function for a nonlinear diffusion equation within the two-phase porous media …
Multiresolution Markov models for signal and image processing
Reviews a significant component of the rich field of statistical multiresolution (MR) modeling
and processing. These MR methods have found application and permeated the literature of …
and processing. These MR methods have found application and permeated the literature of …
Approximation errors and model reduction with an application in optical diffusion tomography
Abstract Model reduction is often required in several applications, typically due to limited
available time, computer memory or other restrictions. In problems that are related to partial …
available time, computer memory or other restrictions. In problems that are related to partial …
Gauss–Newton method for image reconstruction in diffuse optical tomography
We present a regularized Gauss–Newton method for solving the inverse problem of
parameter reconstruction from boundary data in frequency-domain diffuse optical …
parameter reconstruction from boundary data in frequency-domain diffuse optical …
Fluorescence optical diffusion tomography
A nonlinear, Bayesian optimization scheme is presented for reconstructing fluorescent yield
and lifetime, the absorption coefficient, and the diffusion coefficient in turbid media, such as …
and lifetime, the absorption coefficient, and the diffusion coefficient in turbid media, such as …