• DocumentCode
    2087757
  • Title

    A Novel Beam Hardening Correction Method for Computed Tomography

  • Author

    Li, Baolei ; Zhang, Quanhong ; Li, Junjiang

  • Author_Institution
    Beihang Univ., Beijing
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    891
  • Lastpage
    895
  • Abstract
    As a polychromatic x-ray beam passes through matter, the lower energy photons are preferentially absorbed mainly because of photoelectric absorption. So the spectrum becomes narrow. This leads to various artifacts in reconstruction image and imaging degradation. Cupping artifact is one of them. A novel beam hardening correction method based on reprojection is presented here. Firstly, the original CT (computed tomography) image is segmented into a binary image. Secondly, reproject the binary image for getting the path length information of x-ray penetrating specimen. Thirdly, lit the relationship between the thickness of the specimen and the original polychromatic projection by polynomial function to gain the beam hardening correction model. Then, according to the model, the original polychromatic projections are corrected. CT image reconstructed from the corrected projections shows that the cupping artifacts are effectively eliminated. However, new noise arise in the CT image .To improve the result, one adaptive filtering method are described to denoise the original projections. The final excellent result indicates that the method is effective. Compare with conventional method with the polynomial fit technique, this method doesn´t need wedge-shaped phantom that is used to acquire the correction model. And the noise of the CT image is lower than the conventional method.
  • Keywords
    computerised tomography; image denoising; image reconstruction; medical image processing; beam hardening correction; computed tomography; cupping artifact; image denoising; image reconstruction; imaging degradation; photoelectric absorption; polychromatic X-ray beams; Adaptive filters; Computed tomography; Degradation; Electromagnetic wave absorption; Image reconstruction; Image segmentation; Imaging phantoms; Optical imaging; Polynomials; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381869
  • Filename
    4381869