Medical image enhancement using resolution synthesis

Tak-Shing Wong; Charles A. Bouman; Jean-Baptiste Thibault; Ken D. Sauer

doi:10.1117/12.882878

7 February 2011 Medical image enhancement using resolution synthesis

Tak-Shing Wong, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer

Proceedings Volume 7873, Computational Imaging IX; 787307 (2011) https://doi.org/10.1117/12.882878
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

We introduce a post-processing approach to improve the quality of CT reconstructed images. The scheme is adapted from the resolution-synthesis (RS)1 interpolation algorithm. In this approach, we consider the input image, scanned at a particular dose level, as a degraded version of a high quality image scanned at a high dose level. Image enhancement is achieved by predicting the high quality image by classification based linear regression. To improve the robustness of our scheme, we also apply the minimum description length principle to determine the optimal number of predictors to use in the scheme, and the ridge regression to regularize the design of the predictors. Experimental results show that our scheme is effective in reducing the noise in images reconstructed from filtered back projection without significant loss of image details. Alternatively, our scheme can also be applied to reduce dose while maintaining image quality at an acceptable level.

Citation Download Citation

Tak-Shing Wong, Charles A. Bouman, Jean-Baptiste Thibault, and Ken D. Sauer "Medical image enhancement using resolution synthesis", Proc. SPIE 7873, Computational Imaging IX, 787307 (7 February 2011); https://doi.org/10.1117/12.882878

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