Computational imaging with scattered photons to see inside the body

Abstract

Conventional imaging for health applications captures photons from the objects that are directly in the field of view of the camera. In this thesis, we develop computational frameworks to exploit scattered photons to image regions that are not directly visible to the camera. First, we will explore a new framework to model volumetric scattering with time-of- flight imaging to recover objects in scattering media with less need for calibrations. This technology can be applied to see under the skin. Second, we will exploit fluorescent tags, and quantum dots to image tagged objects around the corner for endoscopy with traditional cameras. We introduce a novel parametric approach to NLOS imaging for localizing tags around corners from radiometric measurements. The goals of the thesis are to develop novel approaches to model scattered light-transport and to demonstrate recovery of hidden objects, though scattering or around corners. The proposed technology can extend the scope of medical imaging.