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Proceedings Paper

Method for reducing windmill artifacts in multislice CT images
Author(s): Kevin M. Brown; Stanislav Žabic
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Paper Abstract

Thin-slice images reconstructed from helical multi-slice CT scans typically display artifacts known as windmill artifacts, which arise from not satisfying the Nyquist sampling criteria in the patient longitudinal direction. Since these are essentially aliasing artifacts, they can be reduced or removed by trading off resolution, either globally (by reconstructing thicker slices) or locally (by local smoothing of the strong gradients). The obvious drawback to this approach is the associated loss in resolution. Another approach is to utilize an x-ray tube with the capability to modulate the focal spot in the z-direction, to effectively improve the sampling rate. This work presents a new method for windmill artifact reduction based on total variation minimization in the image domain, which is capable of removing windmill artifacts while at the same time preserving the resolution of anatomic structures within the images. This is a big improvement over previous reconstruction methods that sacrifice resolution, and it provides practically the same benefits as a z-switching x-ray tube with a much simpler impact to the overall CT system.

Paper Details

Date Published: 16 March 2011
PDF: 5 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79611P (16 March 2011); doi: 10.1117/12.877437
Show Author Affiliations
Kevin M. Brown, Philips Healthcare (United States)
Stanislav Žabic, Philips Healthcare (United States)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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