On intermediate view estimation in computed tomography

R. R. Galigekere, K. Wiesent, T. Mertelmeier, D. W. Holdsworth

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In many applications in computed tomography, practical limitations in data acquisition restrict the number of projections (views). The use of the standard convolution backprojection algorithm for reconstruction from an inadequate number of projections results in view aliasing artifacts. One approach to alleviating the effects of such artifacts consists of artificially increasing the number of views, by estimating a set of intermediate views. Two possible methods of estimating the intermediate views are interpolation and reprojection. In this paper, a study of the two is considered. Based on the merits and demerits of the two methods, a combination of the two methods is investigated. Specifically, a reconstruction from the available sinogram augmented by intermediate view reprojections, and the projection interpolated from the original views and the reprojections, provide an additional improvement with respect to view aliasing artifacts. The advantage of computing reprojections over smaller regions of interest is discussed. When the number of available projections is reasonably high but not adequate to produce an artifact-free reconstruction, estimating the intermediate views by interpolation provides an improvement without much additional degradation, at minimal computational cost.

Original languageEnglish
Pages (from-to)279-299
Number of pages21
JournalCircuits, Systems, and Signal Processing
Volume19
Issue number4
DOIs
Publication statusPublished - 01-01-2000

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Applied Mathematics

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