Optical diffusion tomography with large data sets

Abstract

We discuss image reconstruction algorithms for diffuse optical tomography that allow utilization of extremely large data sets. Image reconstruction is performed with experimental data obtained with the use of a CCD camera-based noncontact imager. We demonstrate that more than 10⁷ measurements can be acquired and utilized. This is two orders of magintude or more larger than the data sets which are typically used in diffuse optical imaging.