Restoration of Limited View-Angle Image with a Line-by-Line Kalman Filter

  • Ali Safaeinili
  • John P. Basart
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series


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.


Kalman Filter Distorted Image Fourier Domain Radio Astronomy Monthly Notice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • Ali Safaeinili
    • 1
  • John P. Basart
    • 2
  1. 1.Electrical and Computer Engineering Dept.Iowa State UniversityAmesUSA
  2. 2.Electrical and Computer Engineering Dept. Center for NDEIowa State UniversityAmesUSA

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