Computational imaging with scattered photons to see inside the body
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, May, 2020
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/127491 |
| _version_ | 1826212495386214400 |
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| author | Maeda, Tomohiro |
| author2 | Ramesh Raskar. |
| author_facet | Ramesh Raskar. Maeda, Tomohiro |
| author_sort | Maeda, Tomohiro |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, May, 2020 |
| first_indexed | 2024-09-23T15:22:35Z |
| format | Thesis |
| id | mit-1721.1/127491 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:22:35Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1274912022-05-26T02:46:41Z Computational imaging with scattered photons to see inside the body Maeda, Tomohiro Ramesh Raskar. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences 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). 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. by Tomohiro Maeda. S.M. S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences 2020-09-15T22:00:28Z 2020-09-15T22:00:28Z 2020 2020 Thesis https://hdl.handle.net/1721.1/127491 1193024803 eng 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. http://dspace.mit.edu/handle/1721.1/7582 84 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Program in Media Arts and Sciences Maeda, Tomohiro Computational imaging with scattered photons to see inside the body |
| title | Computational imaging with scattered photons to see inside the body |
| title_full | Computational imaging with scattered photons to see inside the body |
| title_fullStr | Computational imaging with scattered photons to see inside the body |
| title_full_unstemmed | Computational imaging with scattered photons to see inside the body |
| title_short | Computational imaging with scattered photons to see inside the body |
| title_sort | computational imaging with scattered photons to see inside the body |
| topic | Program in Media Arts and Sciences |
| url | https://hdl.handle.net/1721.1/127491 |
| work_keys_str_mv | AT maedatomohiro computationalimagingwithscatteredphotonstoseeinsidethebody |