Abstract
Image reconstruction using limited data is a necessity in a variety of applications. These applications include CT and NMR imaging in medical and industrial applications, and synthesis imaging in radio astronomy. In X-ray CT, the incompleteness of the data can be interpreted as a lack of sampling in the spatial Fourier domain. We will show that the distortion in a limited view-angle x-ray CT imaging can be formulated as a linear distortion. An estimation procedure to restore the distorted image will be presented. Finally, we will present the results of this estimation process to X-ray CT.
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© 1990 Springer Science+Business Media New York
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Safaeinili, A., Basart, J.P. (1990). Restoration of Limited View-Angle Image with a Line-by-Line Kalman Filter. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5772-8_91
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DOI: https://doi.org/10.1007/978-1-4684-5772-8_91
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