Literature DB >> 17153414

Effective x-ray attenuation measurements with full field digital mammography.

John J Heine1, Madhusmita Behera.   

Abstract

This work shows that effective x-ray attenuation coefficients may be estimated by applying Beer's Law to phantom image data acquired with the General Electric Senographe 2000D full field digital mammography system. Theoretical developments are provided indicating that an approximate form of the Beer's relation holds for polychromatic x-ray beams. The theoretical values were compared with experimentally determined measured values, which were estimated at various detector locations. The measured effective attenuation coefficients are in agreement with those estimated with theoretical developments and numerical integration. The work shows that the measured quantities show little spatial variation. The main ideas are demonstrated with polymethylmethacrylate and breast tissue equivalent phantom imaging experiments. The work suggests that the effective attenuation coefficients may be used as known values for radiometric standardization applications that compensate for the image acquisition influences. The work indicates that it is possible to make quantitative attenuation coefficient measurements from a system designed for clinical purposes.

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Year:  2006        PMID: 17153414     DOI: 10.1118/1.2356648

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  15 in total

1.  A novel automated mammographic density measure and breast cancer risk.

Authors:  John J Heine; Christopher G Scott; Thomas A Sellers; Kathleen R Brandt; Daniel J Serie; Fang-Fang Wu; Marilyn J Morton; Beth A Schueler; Fergus J Couch; Janet E Olson; V Shane Pankratz; Celine M Vachon
Journal:  J Natl Cancer Inst       Date:  2012-07-03       Impact factor: 13.506

2.  X-ray absorptiometry of the breast using mammographic exposure factors: application to units featuring automatic beam quality selection.

Authors:  C J Kotre
Journal:  Br J Radiol       Date:  2010-06       Impact factor: 3.039

3.  Statistical analysis of mammographic breast composition measurements: towards a quantitative measure of relative breast cancer risk.

Authors:  C J Kotre
Journal:  Br J Radiol       Date:  2010-11-16       Impact factor: 3.039

4.  Cumulative sum quality control for calibrated breast density measurements.

Authors:  John J Heine; Ke Cao; Craig Beam
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

5.  Calibrated breast density methods for full field digital mammography: a system for serial quality control and inter-system generalization.

Authors:  B Lu; A M Smallwood; T A Sellers; J S Drukteinis; J J Heine; E E E Fowler
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

6.  Calibrated measures for breast density estimation.

Authors:  John J Heine; Ke Cao; Dana E Rollison
Journal:  Acad Radiol       Date:  2011-03-02       Impact factor: 3.173

7.  Generalized breast density metrics.

Authors:  Erin E E Fowler; Autumn Smallwood; Cassandra Miltich; Jennifer Drukteinis; Thomas A Sellers; John Heine
Journal:  Phys Med Biol       Date:  2018-12-19       Impact factor: 3.609

8.  Calibrated Breast Density Measurements.

Authors:  Erin E Fowler; Autumn Smallwood; Nadia Khan; Cassandra Miltich; Jennifer Drukteinis; Thomas A Sellers; John Heine
Journal:  Acad Radiol       Date:  2018-12-10       Impact factor: 3.173

9.  Full field digital mammography and breast density: comparison of calibrated and noncalibrated measurements.

Authors:  John J Heine; Erin E E Fowler; Chris I Flowers
Journal:  Acad Radiol       Date:  2011-11       Impact factor: 3.173

10.  An automated approach for estimation of breast density.

Authors:  John J Heine; Michael J Carston; Christopher G Scott; Kathleen R Brandt; Fang-Fang Wu; Vernon Shane Pankratz; Thomas A Sellers; Celine M Vachon
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11       Impact factor: 4.254

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