A general survey is provided on the capability of Monte Carlo (MC) modeling in tissue optics
while paying special attention to the recent progress in the development of methods for …

Diffuse optical imaging probes deep living tissue enabling structural, functional, metabolic,
and molecular imaging. Recently, due to the availability of spatial light modulators, wide …

This article reviews the past and current statuses of time-domain near-infrared spectroscopy
(TD-NIRS) and imaging. Although time-domain technology is not yet widely employed due to …

A Monte Carlo method for photon transport has gained wide popularity in biomedical optics
for studying light behaviour in tissue. Nowadays, typical computation times range from a few …

Perturbation Monte Carlo (pMC) has been previously proposed to rapidly recompute optical
measurements when small perturbations of optical properties are considered, but it was …

Light scattering by tissue severely limits how deep beneath the surface one can image, and
the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is …

The conjugation of anti-cancer drugs to endogenous ligands has proven to be an effective
strategy to enhance their pharmacological selectivity and delivery towards neoplasic tissues …

Monte Carlo methods are commonly used as the gold standard in modeling photon transport
through turbid media. With the rapid development of structured light applications, an …

Time domain fluorescence molecular tomography (TD-FMT) provides a unique dataset for
enhanced quantification and spatial resolution. The time-gate dataset can be divided into …

Purpose: The Monte Carlo method is an accurate model for time‐resolved quantitative
fluorescence tomography. However, this method suffers from low computational efficiency …