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Proceedings Paper

Adaptive motion artifact suppression in CT
Author(s): Jiang Hsieh
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Paper Abstract

It is well known that the respiratory motion during computed tomography (CT) causes artifacts that can mimic disease and could lead to mis-diagnosis. In this paper, we present an adaptive weighting scheme for motion artifacts suppression. The weighting scheme is based on the observation that the motion artifacts are caused by the inconsistency in the projection data set at the beginning and end of a scan. In general, the larger the discrepancy between the projections in these two segments, the more pronounced the artifacts. We make use of the redundant data samples in a CT scan and try to minimize the contributions of these views to the final image. By incorporating the information obtained from the external patient motion measurements, the amount of suppression can be tailored to the data set to achieve the best compromise between the patient motion artifacts and the image noise. This method has been applied to real patient scans and its advantages have been demonstrated.

Paper Details

Date Published: 14 November 1996
PDF: 9 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258252
Show Author Affiliations
Jiang Hsieh, General Electric Medical Systems (United States)

Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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