• DocumentCode
    3328125
  • Title

    A full-system simulation chain for computed tomography scanners

  • Author

    Kappler, Steffen ; Niederlöhner, Daniel ; Wirth, Stefan ; Stierstorfer, Karl

  • Author_Institution
    Siemens Healthcare, Forchheim, Germany
  • fYear
    2009
  • fDate
    Oct. 24 2009-Nov. 1 2009
  • Firstpage
    3433
  • Lastpage
    3436
  • Abstract
    Image quality and dose reduction are fields of continuous research and development in Clinical Computed Tomography. This requires screening new approaches such as innovative detector technologies, spectral filtering, data compression or novel CT algorithms. Resulting image quality properties like sharpness, image noise, homogeneity and image artifacts need to be assessed and compared to state-of-the-art solutions. We present a chain of spectral simulation tools covering full CT-systems with X-ray source, filtering, patient or phantom interaction, energy integrating or quantum counting detectors, data processing and CT image reconstruction. Modelling of the relevant physics processes is described in detail for each of the stages involved. We present CT images from simulated scans. A quantitative analysis shows excellent agreement with data from a real CT scanner. Finally, we outline a technology comparison study as typical application example of the presented simulation tools.
  • Keywords
    computerised tomography; data compression; image coding; image reconstruction; medical image processing; clinical computed tomography; computed tomography scanners; data compression; image artifacts; image homogeneity; image noise; image quality; image sharpness; phantom; spectral filtering; Computational modeling; Computed tomography; Data compression; Detectors; Filtering algorithms; Image quality; Imaging phantoms; Research and development; X-ray detection; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-3961-4
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2009.5401779
  • Filename
    5401779