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The Application of Convex Hull in Industrial X-Ray Computerized Tomography

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Review of Progress in Quantitative Nondestructive Evaluation

Abstract

In some x-ray CT situations, the x-ray data of the object are available only in a limited angular range. Limited-angle imaging occurs, for example, when scanning in an angular range is obstructed by other physical objects, or when the x-ray is attenuated too much in a particular angular range to serve any useful purpose. These situations are illustrated in Fig. 1. Under such circumstances limited-angle image reconstruction techniques could be employed to reconstruct the object from the x-ray data and other information about the object, such as (1) exterior boundary of the object; (2) upper bound of the object density; (3) lower bound of the object density. It has been shown that by using this information in addition to the limited-angle x-ray data, the object can be reconstructed uniquely [1]. The limited-angle reconstruction algorithm developed in the above reference is shown in Fig. 2; the image is transformed back and forth between the object space by filtered backprojection, and the projection space by projection, with corrections by the a priori information in the object space and the limited-angle known projections in the projection space.

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References

  1. K.C. Tam and V. Perez-Mendez, “Principles of Tomographical Imaging with Limited Angle Input,” J. Opt. Soc. Am 71, 582(1984).

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  2. K.C. Tam, “The Construction and The Use of Convex Hulls in Limited-Angle Computerized Tomography,” to be published in the Journal of Nondestructive Evaluation.

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  3. R.H. Huesman, G.T. Gullberg, W.L. Greenberg, and T.F. Budinger, Donner Algorithms for Reconstruction Tomography, 1977, Lawrence Berkeley Laboratory, University of California, Berkeley.

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© 1989 Springer Science+Business Media New York

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Tam, K.C. (1989). The Application of Convex Hull in Industrial X-Ray Computerized Tomography. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0817-1_50

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  • DOI: https://doi.org/10.1007/978-1-4613-0817-1_50

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8097-2

  • Online ISBN: 978-1-4613-0817-1

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