Description: The modeling of the physics of photon propagation through tissues is of utmost importance for the quantification of the diffuse optical signals. These models are then utilized in our inverse algorithms. To that end, we have several lines of research:
- Monte Carlo modeling: We have developed a new Monte-Carlo light transport code to investigate the photon propagation in a turbid medium. This software allows users to change optical properties (absorption, scattering, isotropy factor, index of refraction) and dynamic properties (Brownian motion, random velocity and others) of the system at a voxel by voxel basis. Using this software, we study new experimental approaches and also improve our understanding of the physics.
- New inverse algorithms: We have introduced the “Compressed (or compressive) sensing” approach to diffuse optical tomography (CS-DOT). This approach allows us to reconstruct high fidelity images from a relatively low number of measurements. We have also worked on new algorithms for photoacoustic tomography.
- Theoretical modeling: We are working on improving the physical understanding of diffuse correlation spectroscopy (DCS) signals as they are observed from the tissues.
Project Status: ongoing
