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Improved spatial resolution and lower-dose pediatric CT imaging: a feasibility study to evaluate narrowing the X-ray photon energy spectrum
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  • 作者:Mark G. Benz (1)
    Matthew W. Benz (2)
    Steven B. Birnbaum (3)
    Eric Chason (4)
    Brian W. Sheldon (4)
    Dale McGuire (5)
  • 关键词:CT imaging ; Pediatric ; Spatial resolution ; Dose reduction ; Hafnium filtration ; Hf filter ; Reduced radiation dose
  • 刊名:Pediatric Radiology
  • 出版年:2014
  • 出版时间:August 2014
  • 年:2014
  • 卷:44
  • 期:8
  • 页码:1026-1030
  • 全文大小:307 KB
  • 参考文献:1. Brenner DJ, Elliston CD, Hall EJ et al (2001) Estimated risks of radiation-induced fatal cancer from pediatric CT. AJR Am J Roentgenol 176:289鈥?96 CrossRef
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  • 作者单位:Mark G. Benz (1)
    Matthew W. Benz (2)
    Steven B. Birnbaum (3)
    Eric Chason (4)
    Brian W. Sheldon (4)
    Dale McGuire (5)

    1. Safer Pediatric Imaging and Engineering Horizons International, 1909 York Hill Road, Lincoln, VT, 05443, USA
    2. Southboro Medical Group, Southboro, MA, USA
    3. Department of Radiology, Dartmouth Hitchcock Clinic Manchester, Manchester, NH, USA
    4. Division of Engineering, Materials Science and Engineering Program, Brown University, Providence, RI, USA
    5. R&D Manager, C&G Technologies Inc., Jeffersonville, IN, USA
  • ISSN:1432-1998
文摘
This feasibility study has shown that improved spatial resolution and reduced radiation dose can be achieved in pediatric CT by narrowing the X-ray photon energy spectrum. This is done by placing a hafnium filter between the X-ray generator and a pediatric abdominal phantom. A CT system manufactured in 1999 that was in the process of being remanufactured was used as the platform for this study. This system had the advantage of easy access to the X-ray generator for modifications to change the X-ray photon energy spectrum; it also had the disadvantage of not employing the latest post-imaging noise reduction iterative reconstruction technology. Because we observed improvements after changing the X-ray photon energy spectrum, we recommend a future study combining this change with an optimized iterative reconstruction noise reduction technique.

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