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

We show how to efficiently calculate the signal in optical coherence tomography (OCT)
systems due to the ballistic photons, the quasi-ballistic photons, and the photons that …

We developed an importance sampling based method that significantly speeds up the
calculation of the diffusive reflectance due to ballistic and to quasi-ballistic components of …

Diffuse optical tomography (DOT) is a non-invasive brain imaging technique that uses low-
levels of near-infrared light to measure optical absorption changes due to regional blood …

High-density diffuse optical tomography (HD-DOT) is an emerging technique for visualizing
the internal state of biological tissues. The large number of overlapping measurement …

Significance: Current open-source Monte Carlo (MC) method implementations for light
propagation modeling are many times tedious to build and require third-party licensed …

Monte Carlo (MC) simulations are being used extensively in the field of medical biophysics,
particularly for modeling light propagation in tissues. The high computation time for MC limits …

Significance: Deep learning (DL) models are being increasingly developed to map sensor
data to the image domain directly. However, DL methodologies are data-driven and require …

Monte Carlo simulation for light propagation in biological tissue is widely used to study light–
tissue interaction. Simulation for optical coherence tomography (OCT) studies requires …

We present the design and comprehensive instrumental characterization of a time domain
diffuse optical tomography (TD-DOT) platform based on wide-field illumination and wide …