• DocumentCode
    2515420
  • Title

    Exact Reconstruction for Dual Energy Computed Tomography Using an H-L Curve Method

  • Author

    Zhang, Li ; Chen, Zhiqiang ; Li Zhang ; Cheng, Jianping

  • Author_Institution
    Dept. of Eng. Phys., Tsinghua Univ., Beijing
  • Volume
    6
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    3485
  • Lastpage
    3488
  • Abstract
    The dependence of the attenuation coefficient on x-ray energy causes image artefacts for polychromatic x-ray computed tomography. An exact dual energy reconstruction method based on the H-L curves is proposed. The atomic number and equivalent electron density distribution of the scanned objects can be reconstructed with this method. Compared to post-reconstruction methods and the conventional dual energy pre-reconstruction technique, this method is more accurate. Using a look-up table for the extraction of dual energy parameters and a simple FBP algorithm for CT reconstruction, this method achieves high computation efficiency.
  • Keywords
    X-ray spectra; absorption coefficients; computerised tomography; image reconstruction; medical image processing; CT image reconstruction; FBP algorithm; H-L curve method; atomic number; attenuation coefficient; dual energy computed tomography; dual energy parameter extraction; equivalent electron density distribution; image artifacts; look-up table; polychromatic spectrum; polychromatic x-ray computed tomography; x-ray energy; Atomic measurements; Attenuation; Beverage industry; Computed tomography; Electrons; Image reconstruction; Radiography; Reconstruction algorithms; Table lookup; X-ray imaging; H-L curve; dual energy computed tomography; polychromatic spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2006. IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1095-7863
  • Print_ISBN
    1-4244-0560-2
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2006.353751
  • Filename
    4179793