Computational imaging with scattered photons to see inside the body

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Maeda, Tomohiro

Advisor dc:contributor.advisor

• Ramesh Raskar.

• Program in Media Arts and Sciences

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127491

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127491