Paper
30 March 2016 Modeling acquisition geometries with improved super-resolution in digital breast tomosynthesis
Raymond J. Acciavatti, E. Paul Wileyto, Andrew D. A. Maidment
Author Affiliations +
Abstract
In digital breast tomosynthesis (DBT), a reconstruction is created from multiple x-ray projection images. Our previous work demonstrated that the reconstruction is capable of super-resolution (i.e., subpixel resolution) relative to the detector. In order for super-resolution to yield a reliable improvement in image quality, it should be achievable at all positions in the reconstruction. This paper demonstrates that super-resolution is not achievable at all depths, or at all heights above the breast support. For this purpose, a bar pattern phantom was imaged using a commercial DBT system. A goniometry stand was used to orient the long axis of the parallel bars along an oblique plane relative to the breast support. This setup allowed a single test frequency to be visualized over a continuous range of depths. The orientation of the test frequency was parallel to the direction of x-ray tube motion. An oblique reconstruction in the plane of the bar pattern phantom showed that the existence of super-resolution is depth-dependent. To identify design strategies for optimizing super-resolution, a theoretical model was then developed in which a test frequency higher than the alias frequency of the detector was simulated. Two design modifications that improve super-resolution are identified. In particular, it is shown that reducing the spacing between the x-ray source positions minimizes the number of depths lacking super-resolution. Additionally, introducing detector motion along the direction perpendicular to the breast support allows for more uniform super-resolution throughout the image volume. In conclusion, this work presents strategies for optimizing super-resolution in DBT.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raymond J. Acciavatti, E. Paul Wileyto, and Andrew D. A. Maidment "Modeling acquisition geometries with improved super-resolution in digital breast tomosynthesis", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978363 (30 March 2016); https://doi.org/10.1117/12.2216440
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KEYWORDS
Sensors

Super resolution

Digital breast tomosynthesis

Breast

Fourier transforms

Motion models

X-rays

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