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Proceedings Paper

Digital breast tomosynthesis with minimal breast compression
Author(s): David A. Scaduto; Min Yang; Jennifer Ripton-Snyder; Paul R. Fisher; Wei Zhao
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Paper Abstract

Breast compression is utilized in mammography to improve image quality and reduce radiation dose. Lesion conspicuity is improved by reducing scatter effects on contrast and by reducing the superposition of tissue structures. However, patient discomfort due to breast compression has been cited as a potential cause of noncompliance with recommended screening practices. Further, compression may also occlude blood flow in the breast, complicating imaging with intravenous contrast agents and preventing accurate quantification of contrast enhancement and kinetics. Previous studies have investigated reducing breast compression in planar mammography and digital breast tomosynthesis (DBT), though this typically comes at the expense of degradation in image quality or increase in mean glandular dose (MGD). We propose to optimize the image acquisition technique for reduced compression in DBT without compromising image quality or increasing MGD. A zero-frequency signal-difference-to-noise ratio model is employed to investigate the relationship between tube potential, SDNR and MGD. Phantom and patient images are acquired on a prototype DBT system using the optimized imaging parameters and are assessed for image quality and lesion conspicuity. A preliminary assessment of patient motion during DBT with minimal compression is presented.

Paper Details

Date Published: 18 March 2015
PDF: 12 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121Y (18 March 2015); doi: 10.1117/12.2081543
Show Author Affiliations
David A. Scaduto, Stony Brook Univ. (United States)
Min Yang, Stony Brook Univ. (United States)
Jennifer Ripton-Snyder, Stony Brook Univ. (United States)
Paul R. Fisher, Stony Brook Univ. (United States)
Wei Zhao, Stony Brook Univ. (United States)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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