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

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.

Citation Download Citation

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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