We report a parallel Monte Carlo algorithm accelerated by graphics processing units (GPU)
for modeling time-resolved photon migration in arbitrary 3D turbid media. By taking …

We describe a fast mesh-based Monte Carlo (MC) photon migration algorithm for static and
time-resolved imaging in 3D complex media. Compared with previous works using voxel …

General-purpose computing on graphics processing units (GPGPU) is shown to dramatically
increase the speed of Monte Carlo simulations of photon migration. In a standard simulation …

We have measured the bulk optical properties of healthy female breast tissues in vivo in the
parallel plate, transmission geometry. Fifty-two volunteers were measured. Blood volume …

Spatially offset Raman spectroscopy (SORS) is a technique for interrogating the subsurface
composition of turbid samples noninvasively. This study generically addresses a …

Breast cancer is the most common cancer among women in industrialized countries. At
present, X-ray mammography is the gold standard for breast imaging, but has limitations …

Integrating sphere remains a valuable tool for biomedical optics research. Specifically, it has
been used to determine the optical properties (ie, absorption coefficient, scattering …

We propose a comprehensive statistical approach describing the penetration depth of light
in random media. The presented theory exploits the concept of probability density function f …

We present a first in vivo application of phase dual‐slopes (DSϕ), measured with frequency‐
domain near‐infrared spectroscopy on four healthy human subjects, to demonstrate their …

In this work, we present a robust and powerful method for the verification, with arbitrary
accuracy, of Monte Carlo codes for simulating random walks in complex media. Such …