A priori guided reconstruction for FDOT using mixed norms
We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an iterative thresholding-type algorithm. We present simulation results that demonstrate an improvement both in resolution and fluorophore concentration estimation, compared to prior-free approaches.