Literature DB >> 9127307

Parametrization of mammography normalized average glandular dose tables.

W T Sobol1, X Wu.   

Abstract

Data from existing tables of normalized glandular doses in mammography were parametrized to determine analytical expressions that match tabulated results within known uncertainties. The parametrization was performed for three different target/filter combinations (molybdenum target-molybdenum filter, molybdenum target-rhodium filter, and rhodium target-rhodium filter) and three different breast compositions (100% adipose, 50% adipose-50% glandular, and 100% glandular). The analytical expressions provide the normalized glandular dose for any breast composition within stated ranges of tabulated input parameters (kVp, half-value layer, and breast thickness). The maximum difference between tabulated and parametrized data is 1.29%, which is smaller than the stated 2% uncertainty in tabulated dose data due to uncertainties in the x-ray spectra models used to generate the tables. Analytical expressions are easily coded to create custom functions that return the normalized glandular dose for the set of input parameters. Examples of implementation are presented in Microsoft Visual Basic for Applications (VBA).

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Year:  1997        PMID: 9127307     DOI: 10.1118/1.597937

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


  15 in total

1.  Optimization of exposure parameters in full field digital mammography.

Authors:  Mark B Williams; Priya Raghunathan; Mitali J More; J Anthony Seibert; Alexander Kwan; Joseph Y Lo; Ehsan Samei; Nicole T Ranger; Laurie L Fajardo; Allen McGruder; Sandra M McGruder; Andrew D A Maidment; Martin J Yaffe; Aili Bloomquist; Gordon E Mawdsley
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

2.  Mean glandular dose in digital mammography: a dose calculation method comparison.

Authors:  Moayyad E Suleiman; Patrick C Brennan; Mark F McEntee
Journal:  J Med Imaging (Bellingham)       Date:  2017-01-24

3.  Integrating mammographic breast density in glandular dose calculation.

Authors:  Moayyad E Suleiman; Patrick C Brennan; Ernest Ekpo; Peter Kench; Mark F McEntee
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

4.  Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios.

Authors:  Muhammad U Ghani; Molly D Wong; Di Wu; Bin Zheng; Laurie L Fajardo; Aimin Yan; Janis Fuh; Xizeng Wu; Hong Liu
Journal:  Phys Med Biol       Date:  2017-04-05       Impact factor: 3.609

5.  Comparison of acquisition parameters and breast dose in digital mammography and screen-film mammography in the American College of Radiology Imaging Network digital mammographic imaging screening trial.

Authors:  R Edward Hendrick; Etta D Pisano; Alice Averbukh; Catherine Moran; Eric A Berns; Martin J Yaffe; Benjamin Herman; Suddhasatta Acharyya; Constantine Gatsonis
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

6.  Dosimetry in x-ray-based breast imaging.

Authors:  David R Dance; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2016-09-12       Impact factor: 3.609

7.  Digital breast tomosynthesis: studies of the effects of acquisition geometry on contrast-to-noise ratio and observer preference of low-contrast objects in breast phantom images.

Authors:  Mitchell M Goodsitt; Heang-Ping Chan; Andrea Schmitz; Scott Zelakiewicz; Santosh Telang; Lubomir Hadjiiski; Kuanwong Watcharotone; Mark A Helvie; Chintana Paramagul; Colleen Neal; Emmanuel Christodoulou; Sandra C Larson; Paul L Carson
Journal:  Phys Med Biol       Date:  2014-09-11       Impact factor: 3.609

8.  Characterization of the imaging settings in screening mammography using a tracking and reporting system: A multi-center and multi-vendor analysis.

Authors:  Bruno Barufaldi; Samantha P Zuckerman; Regina B Medeiros; Andrew D Maidment; Homero Schiabel
Journal:  Phys Med       Date:  2020-03-03       Impact factor: 2.685

9.  Mean glandular dose coefficients (D(g)N) for x-ray spectra used in contemporary breast imaging systems.

Authors:  Anita Nosratieh; Andrew Hernandez; Sam Z Shen; Martin J Yaffe; J Anthony Seibert; John M Boone
Journal:  Phys Med Biol       Date:  2015-09-08       Impact factor: 3.609

10.  Usefulness of a small-field digital mammographic imaging system using parabolic polycapillary optics as a diagnostic imaging tool: a preliminary study.

Authors:  Kwon Su Chon; Jeong Gon Park; Hyun Hwa Son; Sung Hoon Kang; Seong Hoon Park; Hye-Won Kim; Hun Soo Kim; Kwon-Ha Yoon
Journal:  Korean J Radiol       Date:  2009 Nov-Dec       Impact factor: 3.500

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