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Proceedings Paper

Equivalent breast thickness and dose sensitivity of a next iteration 3D structured breast phantom with lesion models
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Paper Abstract

Purpose: In this work we present equivalent breast thickness and dose sensitivity of a next iteration 3D structured breast phantom with lesion models to demonstrate its potential use for quality assurance measurements in breast imaging. Methods: PMMA equivalent thickness was determined employing the automatic exposure control (AEC) of Siemens Mammomat Inspiration and Siemens Mammomat Revelation. A 2D projection image of the phantom was acquired and the corresponding AEC settings recorded as reference. Equivalent PMMA thickness was found by interpolating between three PMMA thicknesses with mAs values close to the reference settings selected by AEC. Dose sensitivity of the reconstructed digital breast tomosynthesis (DBT) images was assessed by two experienced readers using a four alternative forced choice (4-AFC) study. Three different dose levels for lesion models and microcalcifications were evaluated. Results: PMMA equivalent thickness of the phantom was 46.8 mm and 47.0 mm for measurements on Siemens Mammomat Inspiration and Siemens Mammomat Revelation which equals to a breast equivalent thickness of 55.5 mm and 55.8 mm, respectively, compared to a physical phantom thickness of 53.5 mm. For lesion models dose sensitiviy of the detectability was not obvious. For microcalcification the diameter threshold was found to increase for decreasing dose from high dose to AEC to low dose. Conclusions: We found the measured equivalent breast thickness of our phantom to be close to its physical thickness. It can be concluded that changes in dose can be detected by the presented phantom for the tested dose levels.

Paper Details

Date Published: 16 March 2020
PDF: 7 pages
Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113120K (16 March 2020); doi: 10.1117/12.2548956
Show Author Affiliations
Elisabeth Salomon, Medical Univ. of Vienna (Austria)
Friedrich Semturs, Medical Univ. of Vienna (Austria)
Ewald Unger, Medical Univ. of Vienna (Austria)
Lesley Cockmartin, UZ Gasthuisberg (Belgium)
Dimitar Petrov, UZ Gasthuisberg (Belgium)
Liesbeth Vancoillie, UZ Gasthuisberg (Belgium)
Michael Figl, Medical Univ. of Vienna (Austria)
Hilde Bosmans, UZ Gasthuisberg (Belgium)
Johann Hummel, Medical Univ. of Vienna (Austria)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

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