• DocumentCode
    1222859
  • Title

    Spatial-resolution enhancement in computed tomography

  • Author

    Pan, Xiaochuan ; Yu, Lifeng ; Kao, Chien-Min

  • Author_Institution
    Dept. of Radiol., Univ. of Chicago, IL, USA
  • Volume
    24
  • Issue
    2
  • fYear
    2005
  • Firstpage
    246
  • Lastpage
    253
  • Abstract
    We propose an approach that combines an asymmetric fan-beam configuration and a new reconstruction algorithm to enhancing spatial resolution in computed tomography (CT). The asymmetric configuration can be achieved by changing the center of rotation (COR) from the conventional symmetric configuration. It does not, however, require new detectors and X-ray source nor alter the relative geometry between the detector and the X-ray source. By effectively reducing the distance of the COR to the X-ray source, the asymmetric configuration can increase the effective sampling density in projection data without reducing the size of the field of view (FOV). The proposed algorithm, on the other hand, can reconstruct images directly from data acquired with this asymmetric configuration. We performed numerical studies to demonstrate and validate the proposed acquisition/reconstruction approach. Results in these studies confirm that the proposed approach can lead to enhanced spatial resolution in reconstructed images. The proposed acquisition/reconstruction approach may find applications in micro-CT and industrial CT in which the CORs may be changed.
  • Keywords
    computerised tomography; image enhancement; image reconstruction; image resolution; medical image processing; X-ray source; asymmetric fan-beam configuration; computed tomography; image acquisition; image reconstruction; industrial computerised tomography; micro-computerised tomography; spatial-resolution enhancement; Computed tomography; Geometry; Image reconstruction; Image sampling; Interpolation; Radiology; Spatial resolution; X-ray detection; X-ray detectors; X-ray imaging; Computed tomography (CT); image reconstruction; image resolution; Algorithms; Artificial Intelligence; Numerical Analysis, Computer-Assisted; Phantoms, Imaging; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2004.840846
  • Filename
    1388573