Literature DB >> 20229889

Quantification of breast density with dual energy mammography: an experimental feasibility study.

Justin L Ducote1, Sabee Molloi.   

Abstract

PURPOSE: Breast density, the percentage of glandular breast tissue, has been shown to be a strong indicator of breast cancer risk. A quantitative method to measure breast density with dual energy mammography was investigated using physical phantoms.
METHODS: The dual energy mammography system used a tungsten anode x-ray tube with a 50 microm rhodium beam filter for low energy images and a 300 microm copper beam filter for high energy images. Glandular and adipose equivalent phantoms of uniform thickness were used to calibrate a dual energy basis decomposition algorithm. Four different phantom studies were used to evaluate the technique. The first study consisted of phantoms with thicknesses of 2.5-8.5 cm in 0.5 cm steps with variable densities centered at a mean of 28%. The second study consisted of phantoms at a fixed thickness of 4.0 cm, which ranged in densities from 0% to 100% in increments of 12.5%. The third study consisted of 4.0 cm thick phantoms at densities of 25%, 50% and 75% each imaged at three areal sizes, approximately 62.5, 125, and 250 cm2, in order to assess the effect of breast size on density measurement. The fourth study consisted of step phantoms designed to more closely mimic the shape of a female breast with maximal thicknesses from 3.0 to 7.0 cm at a fixed density of 50%. All images were corrected for x-ray scatter.
RESULTS: The RMS errors in breast density measurements were 0.44% for the variable thickness phantoms, 0.64% for the variable density phantoms, 2.87% for the phantoms of different areal sizes, and 4.63% for step phantoms designed to closely resemble the shape of a breast.
CONCLUSIONS: The results of the phantom studies indicate that dual energy mammography can be used to measure breast density with an RMS error of approximately 5%.

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Year:  2010        PMID: 20229889      PMCID: PMC2826385          DOI: 10.1118/1.3284975

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


  39 in total

1.  Glandular breast dose for monoenergetic and high-energy X-ray beams: Monte Carlo assessment.

Authors:  J M Boone
Journal:  Radiology       Date:  1999-10       Impact factor: 11.105

2.  Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Authors:  John M Boone
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

3.  A volumetric method for estimation of breast density on digitized screen-film mammograms.

Authors:  Olga Pawluczyk; Bindu J Augustine; Martin J Yaffe; Dan Rico; Jiwei Yang; Gordon E Mawdsley; Norman F Boyd
Journal:  Med Phys       Date:  2003-03       Impact factor: 4.071

4.  Dual-energy imaging in full-field digital mammography: a phantom study.

Authors:  A Taibi; S Fabbri; P Baldelli; C di Maggio; G Gennaro; M Marziani; A Tuffanelli; M Gambaccini
Journal:  Phys Med Biol       Date:  2003-07-07       Impact factor: 3.609

5.  Quantitative evaluation of dual-energy digital mammography for calcification imaging.

Authors:  S Cheenu Kappadath; Chris C Shaw
Journal:  Phys Med Biol       Date:  2004-06-21       Impact factor: 3.609

6.  Scatter correction in digital mammography based on image deconvolution.

Authors:  J L Ducote; S Molloi
Journal:  Phys Med Biol       Date:  2010-02-04       Impact factor: 3.609

7.  Reproducibility of mammographic classifications.

Authors:  L E Myers; R McLelland; C X Stricker; S A Feig; J E Martin; M Moskowitz; M E Nielsen
Journal:  AJR Am J Roentgenol       Date:  1983-09       Impact factor: 3.959

8.  Breast patterns as an index of risk for developing breast cancer.

Authors:  J N Wolfe
Journal:  AJR Am J Roentgenol       Date:  1976-06       Impact factor: 3.959

9.  A calibration approach to glandular tissue composition estimation in digital mammography.

Authors:  J Kaufhold; J A Thomas; J W Eberhard; C E Galbo; D E González Trotter
Journal:  Med Phys       Date:  2002-08       Impact factor: 4.071

10.  Dual-energy contrast-enhanced digital subtraction mammography: feasibility.

Authors:  John M Lewin; Pamela K Isaacs; Virginia Vance; Fred J Larke
Journal:  Radiology       Date:  2003-07-29       Impact factor: 11.105

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  13 in total

1.  Quantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Phys Med Biol       Date:  2012-07-06       Impact factor: 3.609

2.  Measurement of breast tissue composition with dual energy cone-beam computed tomography: a postmortem study.

Authors:  Huanjun Ding; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

3.  Breast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparison.

Authors:  Sabee Molloi; Huanjun Ding; Stephen Feig
Journal:  Acad Radiol       Date:  2015-05-29       Impact factor: 3.173

4.  Fast parallel algorithms for the x-ray transform and its adjoint.

Authors:  Hao Gao
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

5.  Postmortem validation of breast density using dual-energy mammography.

Authors:  Sabee Molloi; Justin L Ducote; Huanjun Ding; Stephen A Feig
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

6.  Volumetric lean percentage measurement using dual energy mammography.

Authors:  Justin L Ducote; Michael J Klopfer; S Molloi
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

7.  Segmentation and quantification of materials with energy discriminating computed tomography: a phantom study.

Authors:  Huy Q Le; Sabee Molloi
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

8.  Least squares parameter estimation methods for material decomposition with energy discriminating detectors.

Authors:  Q Le Huy; Sabee Molloi
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

9.  Quantification of breast lesion compositions using low-dose spectral mammography: A feasibility study.

Authors:  Huanjun Ding; David Sennung; Hyo-Min Cho; Sabee Molloi
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

10.  Quantitative contrast-enhanced spectral mammography based on photon-counting detectors: A feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

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