16 March 2011 Issues in characterizing anatomic structure in digital breast tomosynthesis
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Abstract
Normal mammographic backgrounds have power spectra that can be described using a power law P(f) = c/fβ, where β ranges from 1.5 to 4.5. Anatomic noise can be the dominant noise source in a radiograph. Many researchers are characterizing anatomic noise by β, which can be measured from an image. We investigated the effect of sampling distance, offset, and region of interest (ROI) size on β. We calculated β for tomosynthesis projection view and reconstructed images, and we found that ROI size affects the value of β. We evaluated four different square ROI sizes (1.28, 2.56, 3.2, and 5.12 cm), and we found that the larger ROI sizes yielded larger β values in the projection images. The β values change rapidly across a single projection view; however, despite the variation across the breast, different sampling schemes (which include a variety of sampling distances and offsets) produced average β values with less than 5% variation. The particular location and number of samples used to calculate β does not matter as long as the whole image is covered, but the size of the ROI must be chosen carefully.
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Beverly A. Lau, Ingrid Reiser, Robert M. Nishikawa, "Issues in characterizing anatomic structure in digital breast tomosynthesis", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796113 (16 March 2011); doi: 10.1117/12.878871; https://doi.org/10.1117/12.878871
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