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Proceedings Paper

Modeling acquisition geometries with improved super-resolution in digital breast tomosynthesis
Author(s): Raymond J. Acciavatti; E. Paul Wileyto; Andrew D. A. Maidment
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Paper 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.

Paper Details

Date Published: 30 March 2016
PDF: 12 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 978363 (30 March 2016); doi: 10.1117/12.2216440
Show Author Affiliations
Raymond J. Acciavatti, The Univ. of Pennsylvania Health System (United States)
E. Paul Wileyto, The Univ. of Pennsylvania Health System (United States)
Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (United States)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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