A radial adaptive filter for metal artifact reduction

Matthieu Bal; Hasan Celik; Krishna Subramanyan; Kai Eck; Lothar Spies

doi:10.1117/12.593095

29 April 2005 A radial adaptive filter for metal artifact reduction

Matthieu Bal, Hasan Celik, Krishna Subramanyan, Kai Eck, Lothar Spies

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.593095
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

High-density objects, such as metal prostheses or surgical clips, generate streak-like artifacts in CT images. We designed a radial adaptive filter, which directly operates on the corrupted reconstructed image, to effectively and efficiently reduce such artifacts. The filter adapts to the severity of local artifacts to preserve spatial resolution as much as possible. The widths and direction of the filter are derived from the local structure tensor. Visual inspection shows that this novel radial adaptive filter is superior with respect to existing methods in the case of mildly distorted images. In the presence of strong artifacts we propose a hybrid approach. An image corrected with a standard method, which performs well on images with regions of severe artifacts, is fused with an adaptively filtered clone to combine the strengths of both methods.

Citation Download Citation

Matthieu Bal, Hasan Celik, Krishna Subramanyan, Kai Eck, and Lothar Spies "A radial adaptive filter for metal artifact reduction", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.593095

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