A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
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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/1721.1/112045 |
| _version_ | 1826211799449468928 |
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| author | Zimmermann, Bernhard B |
| author2 | David A. Boas and Elfar Adalsteinsson. |
| author_facet | David A. Boas and Elfar Adalsteinsson. Zimmermann, Bernhard B |
| author_sort | Zimmermann, Bernhard B |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. |
| first_indexed | 2024-09-23T15:11:34Z |
| format | Thesis |
| id | mit-1721.1/112045 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:11:34Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1120452019-04-12T22:53:12Z A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis Zimmermann, Bernhard B David A. Boas and Elfar Adalsteinsson. 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: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. Cataloged from PDF version of thesis. Page 102 blank. Includes bibliographical references (pages 87-101). Diffuse optical tomography (DOT) is an emerging noninvasive functional imaging method for breast cancer diagnosis and neoadjuvant chemotherapy monitoring. In particular, the multimodal approach of combining DOT with x-ray digital breast tomosynthesis (DBT) is especially synergistic as DBT prior information can be used to enhance the DOT reconstruction. DOT, in turn, provides a functional information overlay onto the mammographic images, increasing sensitivity and specificity to cancer pathology. We describe a dynamic DOT apparatus designed for tight integration with commercial DBT scanners and providing a fast (1 Hz+) image acquisition rate to enable tracking of hemodynamic changes induced by the mammographic breast compression. The most significant advance enabling fast acquisition was the design and construction of a direct analog-to-digital conversion frequency-domain near-infrared spectroscopy (FD-NIRS) component. It achieves simultaneous dual wavelength operation at 685 nm and 830 nm by concurrent 67.5 MHz and 75 MHz frequency modulation of each laser source, respectively, followed by digitization using a high-speed analog to digital converter and real-time hybrid FPGA-assisted demodulation by discrete Fourier transform (DFT). The overall DOT system integrates 96 CW-NIRS and 24 FD-NIRS source locations, as well as 32 CW-NIRS and 20 FD-NIRS detection locations into low-profile plates that mate to the DBT compression paddle and x-ray detector cover, respectively. The plates and the embedded optical fibers are made of plastic to minimize x-ray absorption and thus allow true simultaneous acquisition of the DBT image. We first characterize each major system component individually, and then demonstrate overall performance using static and dynamic tissue-like phantoms, as well as in vivo images acquired from the pool of patients recalled for breast biopsies at the Massachusetts General Hospital Breast Imaging Division. by Bernhard B. Zimmermann. Ph. D. 2017-10-30T15:29:05Z 2017-10-30T15:29:05Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112045 1006504334 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 102 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Zimmermann, Bernhard B A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title | A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title_full | A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title_fullStr | A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title_full_unstemmed | A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title_short | A multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| title_sort | multimodal breast cancer imaging system using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/112045 |
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