Reflectance Mode Fluorescence Optical Tomography with Consumer-Grade Cameras

Abstract

Efficient algorithms for solving inverse optical tomography problems with noisy and sparse measurements are a major challenge for near-infrared fluorescence guided surgery. To address that challenge, we propose an Incremental Fluorescent Target Reconstruction scheme based on the recent advances in convex optimization and sparse regularization. We demonstrate the efficacy of the proposed scheme on continuous wave reflectance mode boundary measurements of emission fluence from a 3D fluorophore target immersed in a tissue like media and acquired by an inexpensive consumer-grade camera.