Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/112826 |
| _version_ | 1826206456499666944 |
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| author | Cruz Serrallés, José E. (José Enrique) |
| author2 | Luca Daniel. |
| author_facet | Luca Daniel. Cruz Serrallés, José E. (José Enrique) |
| author_sort | Cruz Serrallés, José E. (José Enrique) |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T13:31:02Z |
| format | Thesis |
| id | mit-1721.1/112826 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:31:02Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1128262019-04-11T11:19:24Z Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations Inverse scattering via magnetic resonance and volume integral equations Cruz Serrallés, José E. (José Enrique) Luca Daniel. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 93-95). This thesis describes the development of Global Maxwell Tomography, a global inverse scattering algorithm. This algorithm is based on Volume Integral Equation formulations and operates on Magnetic Resonance data. The algorithm is framed as an optimization problem with box constraints, whereby guesses of material properties are successfully refined until convergence criteria have been met. The algorithm is assessed with a number of numerical examples, and future steps and improvements are proposed herein. by José E. Cruz Serrallés. M. Eng. 2017-12-20T17:24:16Z 2017-12-20T17:24:16Z 2016 2016 Thesis http://hdl.handle.net/1721.1/112826 1014182688 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 95 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Cruz Serrallés, José E. (José Enrique) Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title | Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title_full | Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title_fullStr | Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title_full_unstemmed | Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title_short | Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations |
| title_sort | global maxwell tomography inverse scattering via magnetic resonance and volume integral equations |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/112826 |
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