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Proceedings Paper

Information And Artifact In Second-Order Statistics From Computed Tomography (CT) Images
Author(s): Andre J. Duerinckx; Albert Macovski
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Paper Abstract

In conventional computed tomography images, only the average CT number, which is a first-order statistical parameter, is used to characterize the tissues by giving an estimate of tissue density. Second-order statistical parameters such as the signal variance and cross-correlation function have also been used to obtain additional information to discriminate between certain tissues and lesions. However, the contribution of quantum noise to the signal variance and cross-correlation function creates, for the conventional CT patient dose, a background signal often larger than the signal containing the information about tissue structure. The misleading information, called "artifacts," in second-order image statistics caused by quantum noise is studied. The distribution of the contribution of quantum noise to second-order statistical parameters is object-dependent, space dependent, and "nonlocal." The term "nonlocal" refers to the wide-ranging effects of nonlinear artifacts on the distribution of second-order statistical parameters. We present an analysis and examples of some of the artifacts encountered and also comment on how these artifacts affect the potential of these parameters for clinical use, such as tissue characterization.

Paper Details

Date Published: 6 July 1979
PDF: 8 pages
Proc. SPIE 0173, Application of Optical Instrumentation in Medicine VII, (6 July 1979); doi: 10.1117/12.957149
Show Author Affiliations
Andre J. Duerinckx, IBM Thomas J. Watson Research Center (United States)
Albert Macovski, Stanford University (United States)

Published in SPIE Proceedings Vol. 0173:
Application of Optical Instrumentation in Medicine VII
Joel E. Gray, Editor(s)

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