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Stationary Computed Tomography for Space and other Resource-constrained Environments
Computed tomography (CT) is used to diagnose many emergent medical conditions, including stroke and traumatic brain injuries. Unfortunately, the size, weight, and expense of CT systems make them largely inaccessible for patients outside of major hospitals. We have designed a module containing multip...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155104/ https://www.ncbi.nlm.nih.gov/pubmed/30242169 http://dx.doi.org/10.1038/s41598-018-32505-z |
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author | Cramer, Avilash Hecla, Jake Wu, Dufan Lai, Xiaochun Boers, Tim Yang, Kai Moulton, Tim Kenyon, Steven Arzoumanian, Zaven Krull, Wolfgang Gendreau, Keith Gupta, Rajiv |
author_facet | Cramer, Avilash Hecla, Jake Wu, Dufan Lai, Xiaochun Boers, Tim Yang, Kai Moulton, Tim Kenyon, Steven Arzoumanian, Zaven Krull, Wolfgang Gendreau, Keith Gupta, Rajiv |
author_sort | Cramer, Avilash |
collection | PubMed |
description | Computed tomography (CT) is used to diagnose many emergent medical conditions, including stroke and traumatic brain injuries. Unfortunately, the size, weight, and expense of CT systems make them largely inaccessible for patients outside of major hospitals. We have designed a module containing multiple miniature x-ray sources that could allow for CT systems to be significantly lighter, smaller, and cheaper, and to operate without any moving parts. We have developed a novel photocathode-based x-ray source, created by depositing a thin film of magnesium on an electron multiplier. When illuminated by a UV LED, this photocathode emits a beam of electrons, with a beam current of up to 1 mA. The produced electrons are accelerated through a high voltage to a tungsten target. These sources are individually addressable and can be pulsed rapidly, through electronic control of the LEDs. Seven of these sources are housed together in a 17.5 degree arc within a custom vacuum manifold. A full ring of these modules could be used for CT imaging. By pulsing the sources in series, we are able to demonstrate x-ray tomosynthesis without any moving parts. With a clinical flat-panel detector, we demonstrate 3D acquisition and reconstructions of a cadaver swine lung. |
format | Online Article Text |
id | pubmed-6155104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61551042018-09-28 Stationary Computed Tomography for Space and other Resource-constrained Environments Cramer, Avilash Hecla, Jake Wu, Dufan Lai, Xiaochun Boers, Tim Yang, Kai Moulton, Tim Kenyon, Steven Arzoumanian, Zaven Krull, Wolfgang Gendreau, Keith Gupta, Rajiv Sci Rep Article Computed tomography (CT) is used to diagnose many emergent medical conditions, including stroke and traumatic brain injuries. Unfortunately, the size, weight, and expense of CT systems make them largely inaccessible for patients outside of major hospitals. We have designed a module containing multiple miniature x-ray sources that could allow for CT systems to be significantly lighter, smaller, and cheaper, and to operate without any moving parts. We have developed a novel photocathode-based x-ray source, created by depositing a thin film of magnesium on an electron multiplier. When illuminated by a UV LED, this photocathode emits a beam of electrons, with a beam current of up to 1 mA. The produced electrons are accelerated through a high voltage to a tungsten target. These sources are individually addressable and can be pulsed rapidly, through electronic control of the LEDs. Seven of these sources are housed together in a 17.5 degree arc within a custom vacuum manifold. A full ring of these modules could be used for CT imaging. By pulsing the sources in series, we are able to demonstrate x-ray tomosynthesis without any moving parts. With a clinical flat-panel detector, we demonstrate 3D acquisition and reconstructions of a cadaver swine lung. Nature Publishing Group UK 2018-09-21 /pmc/articles/PMC6155104/ /pubmed/30242169 http://dx.doi.org/10.1038/s41598-018-32505-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cramer, Avilash Hecla, Jake Wu, Dufan Lai, Xiaochun Boers, Tim Yang, Kai Moulton, Tim Kenyon, Steven Arzoumanian, Zaven Krull, Wolfgang Gendreau, Keith Gupta, Rajiv Stationary Computed Tomography for Space and other Resource-constrained Environments |
title | Stationary Computed Tomography for Space and other Resource-constrained Environments |
title_full | Stationary Computed Tomography for Space and other Resource-constrained Environments |
title_fullStr | Stationary Computed Tomography for Space and other Resource-constrained Environments |
title_full_unstemmed | Stationary Computed Tomography for Space and other Resource-constrained Environments |
title_short | Stationary Computed Tomography for Space and other Resource-constrained Environments |
title_sort | stationary computed tomography for space and other resource-constrained environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155104/ https://www.ncbi.nlm.nih.gov/pubmed/30242169 http://dx.doi.org/10.1038/s41598-018-32505-z |
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