Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last
decade, owing to its unique capabilities for imaging optical properties and chromophores …

Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse
problems, from under-sampled data with respect to the Nyquist criterium. CS exploits …

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

Oxygenation measurements are widely used in patient care. However, most clinically
available instruments currently consist of contact probes that only provide global monitoring …

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

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 …

The main idea behind this book is to present a rigorous derivation of the equations that
govern light propagation in highly scattering media, with an emphasis on their applications …

Despite a number of books on biophotonics imaging for medical diagnostics and therapy,
the field still lacks a comprehensive imaging book that describes state-of-the-art …

The high degree of absorption and scattering of photons propagating through biological
tissues makes fluorescence molecular tomography (FMT) reconstruction a severe ill-posed …

Fluorescence molecular tomography (FMT) is an important in vivo imaging modality to
visualize physiological and pathological processes in small animals. However, FMT …