This paper describes a set of algorithms that enable virtually complete ring artifact removal from tomographic imagery with minimal to negligible contamination of the underlying data. These procedures were created specifically to deal with data as acquired at the University of Texas high-resolution X-ray CT facility, but are likely to be applicable in other settings as well. In most cases corrections are optimally applied to sinogram data before reconstruction, but a variant is developed for correcting already-reconstructed images. The algorithms make particular use of repetitive aspects of the artifact across images to improve behavior. However, fully utilizing this functionality requires processing entire data sets simultaneously, rather than one image at a time. A number of parameters may be adjusted to optimize results for particular data sets.

Date Published: 7 September 2006
PDF: 7 pages
Proc. SPIE 6318, Developments in X-Ray Tomography V, 63180O (7 September 2006); doi: 10.1117/12.680939

Published in SPIE Proceedings Vol. 6318:
Developments in X-Ray Tomography V
Ulrich Bonse, Editor(s)