• DocumentCode
    1412571
  • Title

    Tomographic reconstruction for tilted helical multislice CT

  • Author

    Hsieh, Jiang

  • Author_Institution
    Appl. Sci. Lab., G.E. Med. Syst., Milwaukee, WI, USA
  • Volume
    19
  • Issue
    9
  • fYear
    2000
  • Firstpage
    864
  • Lastpage
    872
  • Abstract
    One of the most recent technical advancements in computed tomography (CT) is the introduction of multislice CT (MCT). Because multiple detector rows are used for data acquisition, MCT offers higher volume coverage, faster scan speed, and reduced X-ray tube loading. Recognizing its unique data-sampling pattern, several image reconstruction algorithms were developed. These algorithms have been shown to be adequate in producing clinically acceptable images. Recent studies, however, have revealed that the image quality of MCT can be significantly degraded when helical data are acquired with a tilted gantry. The degraded image quality has rendered this feature unacceptable for clinical usage. In this paper, the authors first present a detailed investigation on the cause of the image quality degradation. An analytical model is derived to provide a mathematical basis for correction. Several compensation schemes are subsequently presented, and a detailed performance comparison is provided in terms of spatial resolution, noise, computation efficiency, and image artifacts.
  • Keywords
    computerised tomography; image reconstruction; image resolution; medical image processing; noise; analytical model; clinically acceptable images; computation efficiency; data-sampling pattern; image artefacts; image artifacts; image reconstruction algorithms; mathematical basis; multiple detector rows; reduced X-ray tube loading; scan speed; spatial resolution; tilted helical multislice CT; Computed tomography; Data acquisition; Degradation; Image quality; Image recognition; Image reconstruction; Pattern recognition; X-ray detection; X-ray detectors; X-ray imaging; Head; Humans; Image Processing, Computer-Assisted; Radiographic Image Enhancement; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.887835
  • Filename
    887835