Scatter correction by non-local techniques

Yingying Gu; Jun Zhang; Ping Xue

doi:10.1117/12.2251542

24 February 2017 Scatter correction by non-local techniques

Yingying Gu, Jun Zhang, Ping Xue

Author Affiliations +

Proceedings Volume 10133, Medical Imaging 2017: Image Processing; 101331K (2017) https://doi.org/10.1117/12.2251542
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

In X-ray imaging, scatter can produce noise, artifacts, and decreased contrast. In practice, hardware such as anti-scatter grids are often used to reduce scatter. However, the remaining scatter can still be significant and additional software-based correction are desirable. Furthermore, good software solutions can potentially reduce the amount of needed anti-scatter hardware, thereby reducing cost. In this work, we developed a software correction algorithm by adapting a class of non-local image restoration techniques to scatter reduction. In this algorithm, scatter correction is formulated as a Bayesian MAP (maximum a posteriori) problem with a non-local prior, which leads to better textural detail preservation in scatter reduction. The efficacy of our algorithm is demonstrated through experimental and simulation results.

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Yingying Gu, Jun Zhang, and Ping Xue "Scatter correction by non-local techniques", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101331K (24 February 2017); https://doi.org/10.1117/12.2251542

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