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Proceedings Paper

Qualitative And Quantitative Artifact From CT Algorithms
Author(s): P. R. Moran; L. E. Barroilhet; R. M. Witt
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Paper Abstract

Image artifacts in computed tomography originate either in the hardware or software components of the system. Software artifacts may be classified as qualitative or quantitative depending, respectively, upon whether the rms artifact converges within the image field or whether it diverges. As an example of quantitative artifact, we demonstrate that truncated algorithms, often recommended for reducing reconstruction time, inherently generate aperature-error or size-effect artifact. As an example of qualitative artifact, we demonstrate that algorithms giving sharpest edge-definition do not yield generally superior point resolution. These "sharp" algorithms, however, do generate large qualitative artifact, and require relatively long computer time. Prereconstruction and postreconstruction averaging, often introduced to alleviate noise and artifact problems, can be eliminated completely. One achieves the same final result by initially choosing a different, and often simpler, reconstruction convolution.

Paper Details

Date Published: 23 December 1976
PDF: 10 pages
Proc. SPIE 0096, Application of Optical Instrumentation in Medicine V, (23 December 1976); doi: 10.1117/12.965405
Show Author Affiliations
P. R. Moran, University of Wisconsin (United States)
L. E. Barroilhet, University of Wisconsin (United States)
R. M. Witt, University of Wisconsin (United States)


Published in SPIE Proceedings Vol. 0096:
Application of Optical Instrumentation in Medicine V
Robert K. Cacak; Paul L. Carson; Gregory Dubuque; Joel E. Gray; William R. Hendee; Raymond P. Rossi; Arthur Haus, Editor(s)

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