WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation

Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients μs of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content....

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Veröffentlicht in:Medical physics (Lancaster) 2014-05, Vol.41 (5), p.053501-n/a
Hauptverfasser: Tang, Robert Y., Laamanen, Curtis, McDonald, Nancy, LeClair, Robert J.
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creator Tang, Robert Y.
Laamanen, Curtis
McDonald, Nancy
LeClair, Robert J.
description Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients μs of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm2 by 1 mm thick CdTe detector allowed measurements of a portion of the θ = 6° scattered field. A scatter technique provided means to estimate the incident spectrum N 0(E) needed in the calculations of μs[x(E, θ)] where x is the momentum transfer argument. Values of \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }(x) = \nu _{1} \mu _{\mathrm{s}1}(x) + \nu _{2} \mu _{\mathrm{s}2}(x) + \nu _3 \mu _{\mathrm{s}3}(x)$\end{document} μ ¯ s ∑ ( x ) = ν 1 μ s 1 ( x ) + ν 2 μ s 2 ( x ) + ν 3 μ s 3 ( x ) , where νi is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the μs of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known μs signal of water was reproduced effectively between 0.5 < x < 1.6 nm−1. The \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s obtained for the heterogeneous samples agreed with \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }$\end{document} μ ¯ s ∑ . Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure μs of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from hete
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Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm2 by 1 mm thick CdTe detector allowed measurements of a portion of the θ = 6° scattered field. A scatter technique provided means to estimate the incident spectrum N 0(E) needed in the calculations of μs[x(E, θ)] where x is the momentum transfer argument. Values of \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }(x) = \nu _{1} \mu _{\mathrm{s}1}(x) + \nu _{2} \mu _{\mathrm{s}2}(x) + \nu _3 \mu _{\mathrm{s}3}(x)$\end{document} μ ¯ s ∑ ( x ) = ν 1 μ s 1 ( x ) + ν 2 μ s 2 ( x ) + ν 3 μ s 3 ( x ) , where νi is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the μs of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known μs signal of water was reproduced effectively between 0.5 &lt; x &lt; 1.6 nm−1. The \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s obtained for the heterogeneous samples agreed with \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }$\end{document} μ ¯ s ∑ . Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure μs of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from heterogeneous biopsies. The fat subtraction model can allow μs signals of breast cancer and fibroglandular tissue to be compared without the effects of fat provided there is an independent measurement of the fat volume fraction νf. Future work will consist of devising a quantitative x-ray digital imaging method to estimate νf in ex vivo breast samples.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4870982</identifier><identifier>PMID: 24784407</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>Adipose Tissue - physiology ; Algorithms ; ANIMAL TISSUES ; Anodes ; Biological material, e.g. blood, urine; Haemocytometers ; Biomedical modeling ; biopsies ; BIOPSY ; Breast - physiology ; Breast - physiopathology ; breast tissue ; Cancer ; CdTe ; CDTE SEMICONDUCTOR DETECTORS ; Computer Simulation ; differential linear scattering coefficients ; Electron, neutron and x‐ray diffraction and scattering ; fat ; FATS ; Linear Models ; Linear scattering ; MAMMARY GLANDS ; Mammography ; Materials analysis ; Measuring for diagnostic purposes; Identification of persons ; Medical imaging ; Medical X‐ray imaging ; Models, Biological ; NEOPLASMS ; patient diagnosis ; PHANTOMS ; Phantoms, Imaging ; Photon scattering ; Plastics ; polymers ; POLYSTYRENE ; Polystyrenes ; RADIATION PROTECTION AND DOSIMETRY ; Scattering, Radiation ; SIMULATION ; tumours ; Water ; wide‐angle x‐ray scatter (WAXS) ; X-RAY DIFFRACTION ; X-Rays ; X‐ray scattering</subject><ispartof>Medical physics (Lancaster), 2014-05, Vol.41 (5), p.053501-n/a</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2014 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3872-4eff25a4477f90bd6fbff891989c789a4e8eb71a39288e47fa0e3d23bf3fbdea3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4870982$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4870982$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24784407$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/22250706$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Robert Y.</creatorcontrib><creatorcontrib>Laamanen, Curtis</creatorcontrib><creatorcontrib>McDonald, Nancy</creatorcontrib><creatorcontrib>LeClair, Robert J.</creatorcontrib><title>WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients μs of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm2 by 1 mm thick CdTe detector allowed measurements of a portion of the θ = 6° scattered field. A scatter technique provided means to estimate the incident spectrum N 0(E) needed in the calculations of μs[x(E, θ)] where x is the momentum transfer argument. Values of \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }(x) = \nu _{1} \mu _{\mathrm{s}1}(x) + \nu _{2} \mu _{\mathrm{s}2}(x) + \nu _3 \mu _{\mathrm{s}3}(x)$\end{document} μ ¯ s ∑ ( x ) = ν 1 μ s 1 ( x ) + ν 2 μ s 2 ( x ) + ν 3 μ s 3 ( x ) , where νi is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the μs of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known μs signal of water was reproduced effectively between 0.5 &lt; x &lt; 1.6 nm−1. The \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s obtained for the heterogeneous samples agreed with \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }$\end{document} μ ¯ s ∑ . Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure μs of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from heterogeneous biopsies. The fat subtraction model can allow μs signals of breast cancer and fibroglandular tissue to be compared without the effects of fat provided there is an independent measurement of the fat volume fraction νf. Future work will consist of devising a quantitative x-ray digital imaging method to estimate νf in ex vivo breast samples.</description><subject>Adipose Tissue - physiology</subject><subject>Algorithms</subject><subject>ANIMAL TISSUES</subject><subject>Anodes</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>Biomedical modeling</subject><subject>biopsies</subject><subject>BIOPSY</subject><subject>Breast - physiology</subject><subject>Breast - physiopathology</subject><subject>breast tissue</subject><subject>Cancer</subject><subject>CdTe</subject><subject>CDTE SEMICONDUCTOR DETECTORS</subject><subject>Computer Simulation</subject><subject>differential linear scattering coefficients</subject><subject>Electron, neutron and x‐ray diffraction and scattering</subject><subject>fat</subject><subject>FATS</subject><subject>Linear Models</subject><subject>Linear scattering</subject><subject>MAMMARY GLANDS</subject><subject>Mammography</subject><subject>Materials analysis</subject><subject>Measuring for diagnostic purposes; Identification of persons</subject><subject>Medical imaging</subject><subject>Medical X‐ray imaging</subject><subject>Models, Biological</subject><subject>NEOPLASMS</subject><subject>patient diagnosis</subject><subject>PHANTOMS</subject><subject>Phantoms, Imaging</subject><subject>Photon scattering</subject><subject>Plastics</subject><subject>polymers</subject><subject>POLYSTYRENE</subject><subject>Polystyrenes</subject><subject>RADIATION PROTECTION AND DOSIMETRY</subject><subject>Scattering, Radiation</subject><subject>SIMULATION</subject><subject>tumours</subject><subject>Water</subject><subject>wide‐angle x‐ray scatter (WAXS)</subject><subject>X-RAY DIFFRACTION</subject><subject>X-Rays</subject><subject>X‐ray scattering</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kd9qFTEQxoMo9nj0wheQgDcibM2_PUm8K0Wt0NKCit6FbHZiI7ub0yRb6SP0rZvtORZB8Gpg5pfvm3yD0EtKDiml6h09FEoSrdgjtGJC8kYwoh-jFSFaNEyQ9gA9y_kXIWTDW_IUHVRICUHkCt1-P_rxBXtbcJ67kqwrIU54jD0MuEQMuYTRFsB98B4STCXYAQ9hAptwdrYUSGH6iV0E74MLFcg4-kVwgJxxl8DmgkvIeYb3-OLSTiWOeJFMVSljuLbDbBfT5-iJrx14sa9r9O3jh6_HJ83p-afPx0enjeNKskZUI9ZaIaT0mnT9xnfeK0210k4qbQUo6CS1XDOlQEhvCfCe8c5z3_Vg-Rq93unG-jeTXSjgLl2cJnDFMMZaImtMa_RmR21TvJprDGYM2cEw2AninA1tGeVcbaSq6Ks9Oncj9GabamTpxvwJuQLNDvgdBrh5mFNilusZavbXM2cXS6n82x2_LHefzcOb65j-4re9_x_8jwG_A05VqiM</recordid><startdate>201405</startdate><enddate>201405</enddate><creator>Tang, Robert Y.</creator><creator>Laamanen, Curtis</creator><creator>McDonald, Nancy</creator><creator>LeClair, Robert J.</creator><general>American Association of Physicists in Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>OTOTI</scope></search><sort><creationdate>201405</creationdate><title>WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation</title><author>Tang, Robert Y. ; Laamanen, Curtis ; McDonald, Nancy ; LeClair, Robert J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3872-4eff25a4477f90bd6fbff891989c789a4e8eb71a39288e47fa0e3d23bf3fbdea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adipose Tissue - physiology</topic><topic>Algorithms</topic><topic>ANIMAL TISSUES</topic><topic>Anodes</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>Biomedical modeling</topic><topic>biopsies</topic><topic>BIOPSY</topic><topic>Breast - physiology</topic><topic>Breast - physiopathology</topic><topic>breast tissue</topic><topic>Cancer</topic><topic>CdTe</topic><topic>CDTE SEMICONDUCTOR DETECTORS</topic><topic>Computer Simulation</topic><topic>differential linear scattering coefficients</topic><topic>Electron, neutron and x‐ray diffraction and scattering</topic><topic>fat</topic><topic>FATS</topic><topic>Linear Models</topic><topic>Linear scattering</topic><topic>MAMMARY GLANDS</topic><topic>Mammography</topic><topic>Materials analysis</topic><topic>Measuring for diagnostic purposes; Identification of persons</topic><topic>Medical imaging</topic><topic>Medical X‐ray imaging</topic><topic>Models, Biological</topic><topic>NEOPLASMS</topic><topic>patient diagnosis</topic><topic>PHANTOMS</topic><topic>Phantoms, Imaging</topic><topic>Photon scattering</topic><topic>Plastics</topic><topic>polymers</topic><topic>POLYSTYRENE</topic><topic>Polystyrenes</topic><topic>RADIATION PROTECTION AND DOSIMETRY</topic><topic>Scattering, Radiation</topic><topic>SIMULATION</topic><topic>tumours</topic><topic>Water</topic><topic>wide‐angle x‐ray scatter (WAXS)</topic><topic>X-RAY DIFFRACTION</topic><topic>X-Rays</topic><topic>X‐ray scattering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Robert Y.</creatorcontrib><creatorcontrib>Laamanen, Curtis</creatorcontrib><creatorcontrib>McDonald, Nancy</creatorcontrib><creatorcontrib>LeClair, Robert J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Robert Y.</au><au>Laamanen, Curtis</au><au>McDonald, Nancy</au><au>LeClair, Robert J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2014-05</date><risdate>2014</risdate><volume>41</volume><issue>5</issue><spage>053501</spage><epage>n/a</epage><pages>053501-n/a</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients μs of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm2 by 1 mm thick CdTe detector allowed measurements of a portion of the θ = 6° scattered field. A scatter technique provided means to estimate the incident spectrum N 0(E) needed in the calculations of μs[x(E, θ)] where x is the momentum transfer argument. Values of \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }(x) = \nu _{1} \mu _{\mathrm{s}1}(x) + \nu _{2} \mu _{\mathrm{s}2}(x) + \nu _3 \mu _{\mathrm{s}3}(x)$\end{document} μ ¯ s ∑ ( x ) = ν 1 μ s 1 ( x ) + ν 2 μ s 2 ( x ) + ν 3 μ s 3 ( x ) , where νi is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the μs of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known μs signal of water was reproduced effectively between 0.5 &lt; x &lt; 1.6 nm−1. The \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}$\end{document} μ ¯ s obtained for the heterogeneous samples agreed with \documentclass[12pt]{minimal}\begin{document}$\overline{\mu }_{\mathrm{s}}^{\sum }$\end{document} μ ¯ s ∑ . Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure μs of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from heterogeneous biopsies. The fat subtraction model can allow μs signals of breast cancer and fibroglandular tissue to be compared without the effects of fat provided there is an independent measurement of the fat volume fraction νf. Future work will consist of devising a quantitative x-ray digital imaging method to estimate νf in ex vivo breast samples.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>24784407</pmid><doi>10.1118/1.4870982</doi><tpages>7</tpages></addata></record>
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subjects Adipose Tissue - physiology
Algorithms
ANIMAL TISSUES
Anodes
Biological material, e.g. blood, urine
Haemocytometers
Biomedical modeling
biopsies
BIOPSY
Breast - physiology
Breast - physiopathology
breast tissue
Cancer
CdTe
CDTE SEMICONDUCTOR DETECTORS
Computer Simulation
differential linear scattering coefficients
Electron, neutron and x‐ray diffraction and scattering
fat
FATS
Linear Models
Linear scattering
MAMMARY GLANDS
Mammography
Materials analysis
Measuring for diagnostic purposes
Identification of persons
Medical imaging
Medical X‐ray imaging
Models, Biological
NEOPLASMS
patient diagnosis
PHANTOMS
Phantoms, Imaging
Photon scattering
Plastics
polymers
POLYSTYRENE
Polystyrenes
RADIATION PROTECTION AND DOSIMETRY
Scattering, Radiation
SIMULATION
tumours
Water
wide‐angle x‐ray scatter (WAXS)
X-RAY DIFFRACTION
X-Rays
X‐ray scattering
title WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation
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