Paper
18 March 2015 Examining wide-arc digital breast tomosynthesis: optimization using a visual-search model observer
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Abstract
Mathematical model observers are expected to assist in preclinical optimization of image acquisition and reconstruction parameters. A clinically realistic and robust model observer platform could help in multiparameter optimizations without requiring frequent human-observer validations. We are developing search-capable visual-search (VS) model observers with this potential. In this work, we present initial results on optimization of DBT scan angle and the number of projection views for low-contrast mass detection. Comparison with human-observer results shows very good agreement. These results point towards the benefits of using relatively wider arcs and low projection angles per arc degree for improved mass detection. These results are particularly interesting considering that the FDA-approved DBT systems like Hologic Selenia Dimensions uses a narrow (15-degree) acquisition arc and one projection per arc degree.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mini Das, Zhihua Liang, and Howard C. Gifford "Examining wide-arc digital breast tomosynthesis: optimization using a visual-search model observer", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121S (18 March 2015); https://doi.org/10.1117/12.2082986
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Cited by 1 scholarly publication.
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KEYWORDS
Digital breast tomosynthesis

Optimization (mathematics)

Visual process modeling

Visualization

Mathematical modeling

Tumor growth modeling

Image processing

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