Hyperspectral Diffuse Optical Tomography

Diffuse Optical Tomography is an imaging modality which uses measurements obtained using near-infrared light to image highly turbid media, which can be used to produce spatial maps of parameters of interest. The reconstruction of these spatial maps can be expressed mathematically as an ill-posed inverse problem which is very computationally expensive. The algorithms I will discuss here, illustrated with numerical examples, bring down the computational cost over naive approaches by orders of magnitude.