Optical sampling depth in the spatial frequency domain.
We present a Monte Carlo (MC) method to determine depth-dependent probability distributions of photon visitation and detection for optical reflectance measurements performed in the spatial frequency domain (SFD). These distributions are formed using an MC simulation for radiative transport that utilizes a photon packet weighting procedure consistent with the two-dimensional spatial Fourier transform of the radiative transport equation. This method enables the development of quantitative metrics for SFD optical sampling depth in layered tissue and its dependence on both tissue optical properties and spatial frequency. We validate the computed depth-dependent probability distributions using SFD measurements in a layered phantom system with a highly scattering top layer of variable thickness supported by a highly absorbing base layer. We utilize our method to establish the spatial frequency-dependent optical sampling depth for a number of tissue types and also provide a general tool to determine such depths for tissues of arbitrary optical properties.
['Hayakawa|Carole K|CK|', 'Karrobi|Kavon|K|', 'Pera|Vivian|V|', 'Roblyer|Darren|D|', 'Venugopalan|Vasan|V|']
D000465:Algorithms D001698:Biomedical Engineering D001921:Brain D001940:Breast D003198:Computer Simulation D005260:Female D005583:Fourier Analysis D006801:Humans D009010:Monte Carlo Method D055095:Optics and Photonics D019047:Phantoms, Imaging D017785:Photons D011336:Probability D012542:Scattering, Radiation D012984:Software D013053:Spectrophotometry D014025:Titanium
spatial frequency domain Monte Carlo simulation diffuse optical spectroscopy diffuse optics photon migration