In x-ray breast images, anatomical variations have been characterized by slope of the noise power spectrum (NPS) that follows an inverse power-law relationship. Prior literature has reported that this slope (β) changes with imaging modality (DBT vs. mammography) and with different reconstruction algorithms and filters for the same breast structures. In this paper, we assessed the relative contributions of anatomic and quantum noise in the estimated magnitude of β. This is achieved via simulations with varying levels of quantum noise and examining contributions of noise filters. The calculations were performed on simulated DBT images from anthropomorphic software breast phantoms under varying acquisition and reconstruction/filter parameters. Our results indicate that variations in β cannot be solely considered as an indicator of reduced “anatomic noise” and hence potentially improved detectability in those images; presence of quantum noise and view aliasing artifacts in anatomical region always lowered the value of β.
Amar Kavuri, Nathaniel R. Fredette, and Mini Das, "Interaction of anatomic and quantum noise in DBT power spectrum," Proc. SPIE 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, 105770G (Presented at SPIE Medical Imaging: February 11, 2018; Published: 7 March 2018); https://doi.org/10.1117/12.2295218.
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