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Proceedings Paper

Multi-grid nonlocal techniques for x-ray scatter correction
Author(s): Yingying Gu; Jun Zhang; Ping Xue
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Paper Abstract

In this work, we used nonlocal priors in a Bayesian approach for X-ray scatter correction. The control parameters of our algorithms such as the patch sizes and search areas were set in such a way that significant improvement in correction results can be achieved. This, however, led to drastic increases in computation time. To solve this problem, we developed a novel multi-grid technique based on some observations on the matching process involved in the nonlocal priors. Experimental results have demonstrated that this technique is effective, accelerating the computation time significantly while maintaining the quality of correction results. In addition to scatter correction, it can also be used for other image processing applications where fast high-dimensional nonlocal filtering is needed.

Paper Details

Date Published: 2 March 2018
PDF: 7 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741O (2 March 2018); doi: 10.1117/12.2293347
Show Author Affiliations
Yingying Gu, Univ. of Wisconsin-Milwaukee (United States)
Jun Zhang, Univ. of Wisconsin-Milwaukee (United States)
Ping Xue, GE Healthcare (United States)

Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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