Multi-grid nonlocal techniques for x-ray scatter correction

Yingying Gu; Jun Zhang; Ping Xue

doi:10.1117/12.2293347

2 March 2018 Multi-grid nonlocal techniques for x-ray scatter correction

Yingying Gu, Jun Zhang, Ping Xue

Proceedings Volume 10574, Medical Imaging 2018: Image Processing; 105741O (2018) https://doi.org/10.1117/12.2293347
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

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.

Citation Download Citation

Yingying Gu, Jun Zhang, and Ping Xue "Multi-grid nonlocal techniques for x-ray scatter correction", Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741O (2 March 2018); https://doi.org/10.1117/12.2293347

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available