An efficient computation of the time-dependent forward solution for photon transport in a
head model is a key capability for performing accurate inversion for functional diffuse optical …

Parameter recovery in diffuse optical tomography is a computationally expensive algorithm,
especially when used for large and complex volumes, as in the case of human brain …

We model the capability of a small (6-optode) time-resolved diffuse optical tomography
(DOT) system to infer baseline absorption and reduced scattering coefficients of the tissues …

Adequate modeling of light propagation in a human head is important for quantitative near-
infrared spectroscopy and optical imaging. The presence of a nonscattering cerebrospinal …

We investigate the influence of a non-scattering layer on the temporal field autocorrelation
function of multiple scattered light from a multilayer turbid medium such as the human head …

A diffusion-based model for photon migration through a three-layer medium is described.
The main purpose of this work is to investigate the performance of a diffusion equation (DE) …

We reconstruct images of the absorption and the scattering coefficients for diffuse optical
tomography using five different models for light propagation in tissues:(1) the radiative …

The heterogeneity of the tissues in a head, especially the low-scattering cerebrospinal fluid
(CSF) layer surrounding the brain has previously been shown to strongly affect light …

Diffuse optical imaging is a non-invasive technique that uses near-infrared light to measure
changes in brain activity through an array of sensors placed on the surface of the head …

Near-infrared light propagation in various models of the adult head is analyzed by both time-
of-flight measurements and mathematical prediction. The models consist of three-or four …