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Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications

BACKGROUND: Breast density is a significant breast cancer risk factor. Currently, there is no standard method for measuring this important factor. Work presented here represents an essential component of an ongoing project that seeks to determine the appropriate method for calibrating (standardizing...

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Autores principales: Heine, John J, Thomas, Jerry A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2365951/
https://www.ncbi.nlm.nih.gov/pubmed/18373863
http://dx.doi.org/10.1186/1475-925X-7-13
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author Heine, John J
Thomas, Jerry A
author_facet Heine, John J
Thomas, Jerry A
author_sort Heine, John J
collection PubMed
description BACKGROUND: Breast density is a significant breast cancer risk factor. Currently, there is no standard method for measuring this important factor. Work presented here represents an essential component of an ongoing project that seeks to determine the appropriate method for calibrating (standardizing) mammography image data to account for the x-ray image acquisition influences. Longer term goals of this project are to make accurate breast density measurements in support of risk studies. METHODS: Logarithmic response calibration curves and effective x-ray attenuation coefficients were measured from two full field digital mammography (FFDM) systems with breast tissue equivalent phantom imaging and compared. Normalization methods were studied to assess the possibility of reducing the amount of calibration data collection. The percent glandular calibration map functional form was investigated. Spatial variations in the calibration data were used to assess the uncertainty in the calibration application by applying error propagation analyses. RESULTS: Logarithmic response curves are well approximated as linear. Measured effective x-ray attenuation coefficients are characteristic quantities independent of the imaging system and are in agreement with those predicted numerically. Calibration data collection can be reduced by applying a simple normalization technique. The calibration map is well approximated as linear. Intrasystem calibration variation was on the order of four percent, which was approximately half of the intersystem variation. CONCLUSION: FFDM systems provide a quantitative output, and the calibration quantities presented here may be used for data acquired on similar FFDM systems.
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spelling pubmed-23659512008-05-05 Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications Heine, John J Thomas, Jerry A Biomed Eng Online Research BACKGROUND: Breast density is a significant breast cancer risk factor. Currently, there is no standard method for measuring this important factor. Work presented here represents an essential component of an ongoing project that seeks to determine the appropriate method for calibrating (standardizing) mammography image data to account for the x-ray image acquisition influences. Longer term goals of this project are to make accurate breast density measurements in support of risk studies. METHODS: Logarithmic response calibration curves and effective x-ray attenuation coefficients were measured from two full field digital mammography (FFDM) systems with breast tissue equivalent phantom imaging and compared. Normalization methods were studied to assess the possibility of reducing the amount of calibration data collection. The percent glandular calibration map functional form was investigated. Spatial variations in the calibration data were used to assess the uncertainty in the calibration application by applying error propagation analyses. RESULTS: Logarithmic response curves are well approximated as linear. Measured effective x-ray attenuation coefficients are characteristic quantities independent of the imaging system and are in agreement with those predicted numerically. Calibration data collection can be reduced by applying a simple normalization technique. The calibration map is well approximated as linear. Intrasystem calibration variation was on the order of four percent, which was approximately half of the intersystem variation. CONCLUSION: FFDM systems provide a quantitative output, and the calibration quantities presented here may be used for data acquired on similar FFDM systems. BioMed Central 2008-03-28 /pmc/articles/PMC2365951/ /pubmed/18373863 http://dx.doi.org/10.1186/1475-925X-7-13 Text en Copyright © 2008 Heine and Thomas; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Heine, John J
Thomas, Jerry A
Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title_full Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title_fullStr Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title_full_unstemmed Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title_short Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
title_sort effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2365951/
https://www.ncbi.nlm.nih.gov/pubmed/18373863
http://dx.doi.org/10.1186/1475-925X-7-13
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