• DocumentCode
    1758455
  • Title

    Order of Magnitude Sensitivity Increase in X-ray Fluorescence Computed Tomography (XFCT) Imaging With an Optimized Spectro-Spatial Detector Configuration: Theory and Simulation

  • Author

    Ahmad, Mohiuddin ; Bazalova, Magdalena ; Liangzhong Xiang ; Lei Xing

  • Author_Institution
    Sch. of Med., Dept. of Radiat. Oncology, Stanford Univ., Stanford, CA, USA
  • Volume
    33
  • Issue
    5
  • fYear
    2014
  • fDate
    41760
  • Firstpage
    1119
  • Lastpage
    1128
  • Abstract
    The purpose of this study was to increase the sensitivity of XFCT imaging by optimizing the data acquisition geometry for reduced scatter X-rays. The placement of detectors and detector energy window were chosen to minimize scatter X-rays. We performed both theoretical calculations and Monte Carlo simulations of this optimized detector configuration on a mouse-sized phantom containing various gold concentrations. The sensitivity limits were determined for three different X-ray spectra: a monoenergetic source, a Gaussian source, and a conventional X-ray tube source. Scatter X-rays were minimized using a backscatter detector orientation (scatter direction > 110° to the primary X-ray beam). The optimized configuration simultaneously reduced the number of detectors and improved the image signal-to-noise ratio. The sensitivity of the optimized configuration was 10 μg/mL (10 pM) at 2 mGy dose with the mono-energetic source, which is an order of magnitude improvement over the unoptimized configuration (102 pM without the optimization). Similar improvements were seen with the Gaussian spectrum source and conventional X-ray tube source. The optimization improvements were predicted in the theoretical model and also demonstrated in simulations. The sensitivity of XFCT imaging can be enhanced by an order of magnitude with the data acquisition optimization, greatly enhancing the potential of this modality for future use in clinical molecular imaging.
  • Keywords
    Gaussian processes; Monte Carlo methods; X-ray detection; X-ray scattering; X-ray tubes; backscatter; biomedical equipment; computerised tomography; data acquisition; fluorescence; geometry; gold; molecular biophysics; phantoms; Au; Gaussian spectrum source; Monte Carlo simulations; X-ray fluorescence computed tomography imaging; X-ray spectra; XFCT imaging sensitivity; backscatter detector orientation; clinical molecular imaging; conventional X-ray tube source; data acquisition geometry optimization; detector energy window placement; detector number reduction; detector placement; gold concentrations; image signal-to-noise ratio; magnitude sensitivity order; monoenergetic source; mouse-sized phantom; radiation absorbed dose 2 mGy; scatter X-ray minimization; sensitivity limit determination; spectrospatial detector configuration optimization; Computed tomography; Detectors; Photonics; Signal to noise ratio; X-ray imaging; Computed tomography (CT) physics; X-ray imaging; molecular imaging; system design;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2014.2305101
  • Filename
    6733374