A low-cost density reference phantom for computed tomography.

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Title: A low-cost density reference phantom for computed tomography.
Authors: Levine, Zachary H.1 zlevine@nist.gov, Li, Mingdong2, Reeves, Anthony P.3, Yankelevitz, David F.4, Chen, Joseph J.5, Siegel, Eliot L.5, Peskin, Adele6, Zeiger, Diana N.7
Source: Medical Physics. Feb2009, Vol. 36 Issue 2, p286-288. 3p. 1 Diagram, 1 Chart, 1 Graph.
Subjects: Tomography, Medical radiography, Polyurethanes, Foam, Density, Lungs, Medical physics
Abstract: The authors characterized a commercially available foam composed of polyurethane and polyisocyanurate which is marketed for modeling parts in the aircraft, automotive, and related industries. The authors found that the foam may be suitable for use as a density reference standard in the range below -400 Hounsfield units. This range is coincident with the density of lung tissue. The foam may be helpful in making the diagnosis of lung disease more systematic. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: A low-cost density reference phantom for computed tomography.
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  Data: <searchLink fieldCode="AR" term="%22Levine%2C+Zachary+H%2E%22">Levine, Zachary H.</searchLink><relatesTo>1</relatesTo><i> zlevine@nist.gov</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Mingdong%22">Li, Mingdong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Reeves%2C+Anthony+P%2E%22">Reeves, Anthony P.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yankelevitz%2C+David+F%2E%22">Yankelevitz, David F.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Joseph+J%2E%22">Chen, Joseph J.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Siegel%2C+Eliot+L%2E%22">Siegel, Eliot L.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Peskin%2C+Adele%22">Peskin, Adele</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Zeiger%2C+Diana+N%2E%22">Zeiger, Diana N.</searchLink><relatesTo>7</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Feb2009, Vol. 36 Issue 2, p286-288. 3p. 1 Diagram, 1 Chart, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+radiography%22">Medical radiography</searchLink><br /><searchLink fieldCode="DE" term="%22Polyurethanes%22">Polyurethanes</searchLink><br /><searchLink fieldCode="DE" term="%22Foam%22">Foam</searchLink><br /><searchLink fieldCode="DE" term="%22Density%22">Density</searchLink><br /><searchLink fieldCode="DE" term="%22Lungs%22">Lungs</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+physics%22">Medical physics</searchLink>
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  Data: The authors characterized a commercially available foam composed of polyurethane and polyisocyanurate which is marketed for modeling parts in the aircraft, automotive, and related industries. The authors found that the foam may be suitable for use as a density reference standard in the range below -400 Hounsfield units. This range is coincident with the density of lung tissue. The foam may be helpful in making the diagnosis of lung disease more systematic. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1118/1.3049596
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              Text: Feb2009
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