Computational imaging with scattered photons to see inside the body
Name
1193024803-MIT.pdf
Size
4.02 MB
Format
Adobe PDF
Checksum (MD5)
08228191f4c64fc4855c069c993ec958
Author(s)
Maeda, Tomohiro
Advisor(s)
Ramesh Raskar.
Date Issued
2020
Publisher
Massachusetts Institute of Technology
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.
Description
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 77-84).
Subjects
Program in Media Arts and Sciences
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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