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In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast

X-ray Computed Tomography (CT) is one of the most commonly utilized anatomical imaging modalities for both research and clinical purposes. CT combines high-resolution, three-dimensional data with relatively fast acquisition to provide a solid platform for non-invasive human or specimen imaging. The...

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Autores principales: Wathen, Connor A., Foje, Nathan, van Avermaete, Tony, Miramontes, Bernadette, Chapaman, Sarah E., Sasser, Todd A., Kannan, Raghuraman, Gerstler, Steven, Leevy, W. Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715264/
https://www.ncbi.nlm.nih.gov/pubmed/23711461
http://dx.doi.org/10.3390/s130606957
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author Wathen, Connor A.
Foje, Nathan
van Avermaete, Tony
Miramontes, Bernadette
Chapaman, Sarah E.
Sasser, Todd A.
Kannan, Raghuraman
Gerstler, Steven
Leevy, W. Matthew
author_facet Wathen, Connor A.
Foje, Nathan
van Avermaete, Tony
Miramontes, Bernadette
Chapaman, Sarah E.
Sasser, Todd A.
Kannan, Raghuraman
Gerstler, Steven
Leevy, W. Matthew
author_sort Wathen, Connor A.
collection PubMed
description X-ray Computed Tomography (CT) is one of the most commonly utilized anatomical imaging modalities for both research and clinical purposes. CT combines high-resolution, three-dimensional data with relatively fast acquisition to provide a solid platform for non-invasive human or specimen imaging. The primary limitation of CT is its inability to distinguish many soft tissues based on native contrast. While bone has high contrast within a CT image due to its material density from calcium phosphate, soft tissue is less dense and many are homogenous in density. This presents a challenge in distinguishing one type of soft tissue from another. A couple exceptions include the lungs as well as fat, both of which have unique densities owing to the presence of air or bulk hydrocarbons, respectively. In order to facilitate X-ray CT imaging of other structures, a range of contrast agents have been developed to selectively identify and visualize the anatomical properties of individual tissues. Most agents incorporate atoms like iodine, gold, or barium because of their ability to absorb X-rays, and thus impart contrast to a given organ system. Here we review the strategies available to visualize lung, fat, brain, kidney, liver, spleen, vasculature, gastrointestinal tract, and liver tissues of living mice using either innate contrast, or commercial injectable or ingestible agents with selective perfusion. Further, we demonstrate how each of these approaches will facilitate the non-invasive, longitudinal, in vivo imaging of pre-clinical disease models at each anatomical site.
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spelling pubmed-37152642013-07-24 In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast Wathen, Connor A. Foje, Nathan van Avermaete, Tony Miramontes, Bernadette Chapaman, Sarah E. Sasser, Todd A. Kannan, Raghuraman Gerstler, Steven Leevy, W. Matthew Sensors (Basel) Review X-ray Computed Tomography (CT) is one of the most commonly utilized anatomical imaging modalities for both research and clinical purposes. CT combines high-resolution, three-dimensional data with relatively fast acquisition to provide a solid platform for non-invasive human or specimen imaging. The primary limitation of CT is its inability to distinguish many soft tissues based on native contrast. While bone has high contrast within a CT image due to its material density from calcium phosphate, soft tissue is less dense and many are homogenous in density. This presents a challenge in distinguishing one type of soft tissue from another. A couple exceptions include the lungs as well as fat, both of which have unique densities owing to the presence of air or bulk hydrocarbons, respectively. In order to facilitate X-ray CT imaging of other structures, a range of contrast agents have been developed to selectively identify and visualize the anatomical properties of individual tissues. Most agents incorporate atoms like iodine, gold, or barium because of their ability to absorb X-rays, and thus impart contrast to a given organ system. Here we review the strategies available to visualize lung, fat, brain, kidney, liver, spleen, vasculature, gastrointestinal tract, and liver tissues of living mice using either innate contrast, or commercial injectable or ingestible agents with selective perfusion. Further, we demonstrate how each of these approaches will facilitate the non-invasive, longitudinal, in vivo imaging of pre-clinical disease models at each anatomical site. Molecular Diversity Preservation International (MDPI) 2013-05-27 /pmc/articles/PMC3715264/ /pubmed/23711461 http://dx.doi.org/10.3390/s130606957 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Wathen, Connor A.
Foje, Nathan
van Avermaete, Tony
Miramontes, Bernadette
Chapaman, Sarah E.
Sasser, Todd A.
Kannan, Raghuraman
Gerstler, Steven
Leevy, W. Matthew
In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title_full In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title_fullStr In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title_full_unstemmed In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title_short In vivo X-Ray Computed Tomographic Imaging of Soft Tissue with Native, Intravenous, or Oral Contrast
title_sort in vivo x-ray computed tomographic imaging of soft tissue with native, intravenous, or oral contrast
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715264/
https://www.ncbi.nlm.nih.gov/pubmed/23711461
http://dx.doi.org/10.3390/s130606957
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