
Proceedings Paper
Estimation of effective x-ray tissue attenuation differences for volumetric breast density measurementFormat | Member Price | Non-Member Price |
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Paper Abstract
Breast density has been identified to be a risk factor of developing breast cancer and an indicator of lesion diagnostic
obstruction due to masking effect. Volumetric density measurement evaluates fibro-glandular volume, breast volume,
and breast volume density measures that have potential advantages over area density measurement in risk assessment.
One class of volume density computing methods is based on the finding of the relative fibro-glandular tissue attenuation
with regards to the reference fat tissue, and the estimation of the effective x-ray tissue attenuation differences between
the fibro-glandular and fat tissue is key to volumetric breast density computing. We have modeled the effective
attenuation difference as a function of actual x-ray skin entrance spectrum, breast thickness, fibro-glandular tissue
thickness distribution, and detector efficiency. Compared to other approaches, our method has threefold advantages: (1)
avoids the system calibration-based creation of effective attenuation differences which may introduce tedious
calibrations for each imaging system and may not reflect the spectrum change and scatter induced overestimation or
underestimation of breast density; (2) obtains the system specific separate and differential attenuation values of fibroglandular
and fat for each mammographic image; and (3) further reduces the impact of breast thickness accuracy to
volumetric breast density. A quantitative breast volume phantom with a set of equivalent fibro-glandular thicknesses has
been used to evaluate the volume breast density measurement with the proposed method. The experimental results have
shown that the method has significantly improved the accuracy of estimating breast density.
Paper Details
Date Published: 19 March 2014
PDF: 7 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903347 (19 March 2014); doi: 10.1117/12.2042920
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 7 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903347 (19 March 2014); doi: 10.1117/12.2042920
Show Author Affiliations
Biao Chen, Hologic, Inc. (United States)
Chris Ruth, Hologic, Inc. (United States)
Zhenxue Jing, Hologic, Inc. (United States)
Chris Ruth, Hologic, Inc. (United States)
Zhenxue Jing, Hologic, Inc. (United States)
Baorui Ren, Hologic, Inc. (United States)
Andrew Smith, Hologic, Inc. (United States)
Ashwini Kshirsagar, Hologic, Inc. (United States)
Andrew Smith, Hologic, Inc. (United States)
Ashwini Kshirsagar, Hologic, Inc. (United States)
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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