• DocumentCode
    19108
  • Title

    Analytic Comparison Between X-Ray Fluorescence CT and K-Edge CT

  • Author

    Peng Feng ; Wenxiang Cong ; Biao Wei ; Ge Wang

  • Author_Institution
    Dept. of Optoelectron. Eng., Chongqing Univ., Chongqing, China
  • Volume
    61
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    975
  • Lastpage
    985
  • Abstract
    X-ray fluorescence computed tomography (XFCT) and K-edge computed tomography (CT) are two important modalities to quantify a distribution of gold nanoparticles (GNPs) in a small animal for preclinical studies. It is valuable to determine which modality is more efficient for a given application. In this paper, we report a theoretical analysis in terms of signal-to-noise ratio (SNR) for the two modalities, showing that there is a threshold of GNPs concentration such that XFCT has a better SNR than K-edge CT when GNPs concentration is less than this threshold, vice versa. Numerical tests are performed for XFCT and K-edge CT on two kinds of phantoms with multiple concentration levels and structural features. Experimental results illustrate that XFCT is superior to K-edge CT when contrast concentration is lower than 0.4% which coincides with the theoretical analysis.
  • Keywords
    X-ray fluorescence analysis; computerised tomography; fluorescence; gold; image denoising; medical image processing; nanomedicine; nanoparticles; numerical analysis; phantoms; GNP concentration threshold; K-edge computed tomography; X-ray fluorescence computed tomography; contrast concentration; gold nanoparticle distribution; multiple concentration levels; numerical testing; phantoms; signal-noise ratio; Computed tomography; Fluorescence; Gold; Phantoms; Photonics; Signal to noise ratio; X-ray imaging; Gold nanoparticles (GNPs); K-edge computed tomography (CT); X-ray fluorescence computed tomography (XFCT); image noise; image resolution; signal-to-noise ratio (SNR);
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2294677
  • Filename
    6680680