Share Email Print
cover

Proceedings Paper

Edge-preserving metal artifact reduction
Author(s): Esther Meyer; Rainer Raupach; Michael Lell; Bernhard Schmidt; Marc Kachelriess
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Metal implants in the field of measurement lead to strong artifacts in CT images and reduce the image quality and the diagnostic value severely. We introduce frequency split metal artifact reduction (FSMAR), a conceptually new MAR method which is designed to reduce metal artifacts and preserve details and edges of structures even close to metal implants. There are many MAR methods which simply replace unreliable parts of the projection data by inpainting. FSMAR is a combination of an inpainting-based MAR method with a frequency split approach. Normalized metal artifact reduction (NMAR) is chosen as the inpainting-based MAR method in this work. The high frequencies of the original image, where all rawdata were used for the reconstruction, are combined with an NMAR-corrected image. NMAR uses a normalization step to reduce metal artifacts without introducing severe new artifacts. Algorithms using a frequency split were already used in CT for example to reduce cone-beam artifacts. FSMAR is tested for patient datasets with different metal implants. The study includes patients with hip prostheses, a neuro coil, and a spine fixation. All datasets were scanned with modern clinical dual source CT scanners. In contrast to other MAR methods, FSMAR yields images without the usual blurring close to metal implants.

Paper Details

Date Published: 3 March 2012
PDF: 7 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83133A (3 March 2012); doi: 10.1117/12.906392
Show Author Affiliations
Esther Meyer, Univ. of Erlangen-Nürnberg (Germany)
Siemens Healthcare Forchheim (Germany)
Rainer Raupach, Siemens Healthcare Forchheim (Germany)
Michael Lell, Univ. of Erlangen-Nürnberg (Germany)
Bernhard Schmidt, Siemens Healthcare Forchheim (Germany)
Marc Kachelriess, Univ. of Erlangen-Nürnberg (Germany)
German Cancer Research Ctr. (Germany)


Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

© SPIE. Terms of Use
Back to Top