Computing in optics - Computational aspects of diffuse optical tomography

Abstract

Diffuse optical tomography (DOT) is a novel functional imaging modality for visualizing and continuously monitoring tissue and blood oxygenation levels, which is useful for brain imaging and tumor detection. Because of the nonlinearity of infrared light propagation in tissue, developing fast and robust reconstruction methods is the main challenge in making DOT a viable tool for clinical diagnostics.