Modeling torso imaging via time-domain diffuse correlation spectroscopy
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 === Cataloged from student-sub...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-1231222019-12-08T03:17:21Z Modeling torso imaging via time-domain diffuse correlation spectroscopy Vigano, Lorenzo C. Megan H. Blackwell and Thomas Heldt. 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. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 50-52). Medical imaging is vital to the timely diagnosis of internal hemorrhaging and the prevention of fatalities. This thesis aims to contribute to this field by examining the efficacy of time-domain diffuse correlation spectroscopy (TD-DCS) as a means of imaging bleeding within the torso. TD-DCS is a new, powerful imaging technique with primary application of measuring blood flow in the brain. Here we show both how this novel imaging technique can be expanded for use in other regions beyond the brain as well as how we hypothesized and modeled the technique's ability to detect internal bleeding consistent with the trauma-related injury of non-compressible torso hemorrhaging (NCTH). In the constructed models, blood thickness changes from four to six millimeters were detectable at the hepatic vein region within the liver. By using Monte Carlo models, trillions of photons were simulated to approximate results taken across a multi-second measurement. The results show promise for the technique and recommend the construction of a testbed for further testing. by Lorenzo C. Vigano. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-12-05T18:04:42Z 2019-12-05T18:04:42Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123122 1128187299 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 52 pages application/pdf Massachusetts Institute of Technology |
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Electrical Engineering and Computer Science. |
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Electrical Engineering and Computer Science. Vigano, Lorenzo C. Modeling torso imaging via time-domain diffuse correlation spectroscopy |
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 === Cataloged from student-submitted PDF version of thesis. === Includes bibliographical references (pages 50-52). === Medical imaging is vital to the timely diagnosis of internal hemorrhaging and the prevention of fatalities. This thesis aims to contribute to this field by examining the efficacy of time-domain diffuse correlation spectroscopy (TD-DCS) as a means of imaging bleeding within the torso. TD-DCS is a new, powerful imaging technique with primary application of measuring blood flow in the brain. Here we show both how this novel imaging technique can be expanded for use in other regions beyond the brain as well as how we hypothesized and modeled the technique's ability to detect internal bleeding consistent with the trauma-related injury of non-compressible torso hemorrhaging (NCTH). In the constructed models, blood thickness changes from four to six millimeters were detectable at the hepatic vein region within the liver. By using Monte Carlo models, trillions of photons were simulated to approximate results taken across a multi-second measurement. The results show promise for the technique and recommend the construction of a testbed for further testing. === by Lorenzo C. Vigano. === M. Eng. === M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science |
author2 |
Megan H. Blackwell and Thomas Heldt. |
author_facet |
Megan H. Blackwell and Thomas Heldt. Vigano, Lorenzo C. |
author |
Vigano, Lorenzo C. |
author_sort |
Vigano, Lorenzo C. |
title |
Modeling torso imaging via time-domain diffuse correlation spectroscopy |
title_short |
Modeling torso imaging via time-domain diffuse correlation spectroscopy |
title_full |
Modeling torso imaging via time-domain diffuse correlation spectroscopy |
title_fullStr |
Modeling torso imaging via time-domain diffuse correlation spectroscopy |
title_full_unstemmed |
Modeling torso imaging via time-domain diffuse correlation spectroscopy |
title_sort |
modeling torso imaging via time-domain diffuse correlation spectroscopy |
publisher |
Massachusetts Institute of Technology |
publishDate |
2019 |
url |
https://hdl.handle.net/1721.1/123122 |
work_keys_str_mv |
AT viganolorenzoc modelingtorsoimagingviatimedomaindiffusecorrelationspectroscopy |
_version_ |
1719302292364066816 |