Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection

Diffuse Optical Tomography (DOT)is a powerful tool for the reconstruction of optical properties inside a diffusive medium, such as biological tissues. In particular, in the last years, techniques based on structured light illumination and compressive sensing detection have been developed. In this work a time-resolved system based on structured light illumination and compressive detection has been developed and used for DOT. Moreover, a data-driven algorithm for optimal pattern generation based on the Singular-Value Decomposition has been implemented and validated.