A new approach to reconstructing images in fan-beam computed tomography

Lifeng Yu, Xiaochuan Pan, Charles Pelizzari, Tinsu Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The hybrid algorithm developed previously for image reconstruction in fan-beam computed tomography (CT) can have more desirable noise properties and computational efficiency in comparison with the fan-beam filtered backprojection (FFBP) algorithm. However, the one-dimensional (1D) explicit interpolation along the radial direction involved in the previous hybrid algorithm can lead to a reduced resolution in the reconstructed image. In this work, we proposed a new hybrid algorithm that eliminates such an explicit 1D interpolation by performing the filtration directly in the data space. We used computer simulation studies to evaluate the relative performance of the new hybrid algorithm, the previous hybrid algorithm, and the FFBP algorithm. The results of these studies demonstrated that these reconstruction algorithms respond to the effects of data noise and aliasing differently, and that the image noise properties also are dependent on the fan-beam configurations. For fan-beam configurations with small focal lengths and large size of the field of view which can be used in micro-CT, the new hybrid algorithm appears to provide a good tradeoff between image resolution and image noise uniformity.

Original languageEnglish (US)
Title of host publication2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)078037584X
StatePublished - 2002
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: Jul 7 2002Jul 10 2002

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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