Diffuse optical tomography (DOT) poses a typical ill-posed inverse problem with a limited
number of measurements and inherently low spatial resolution. In this paper, we propose a
hierarchical Bayesian approach to improve spatial resolution and quantitative accuracy by
using a priori information provided by a secondary high resolution anatomical imaging
modality, such as magnetic resonance (MR) or x-ray. In such a dual imaging approach,
while the correlation between optical and anatomical images may be high, it is not perfect …

Diffuse optical imaging is an emerging modality that uses Near Infrared (NIR) light to reveal
structural and functional information of deep biological tissue. It provides contrast
mechanisms for molecular, chemical, and anatomical imaging that is not available from
other imaging modalities. Diffuse Optical Tomography (DOT) deals with 3D reconstruction of
optical properties of tissue given the measurements and a forward model of photon
propagation. DOT has inherently low spatial resolution due to diffuse nature of photons. In …