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      Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography.

      Physics in medicine and biology
      Calibration, Feasibility Studies, Image Processing, Computer-Assisted, Phantoms, Imaging, Photons, Synchrotrons, Tomography, X-Ray Computed, methods

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          Abstract

          Theoretical considerations predicted the feasibility of K-edge x-ray computed tomography (CT) imaging using energy discriminating detectors with more than two energy bins. This technique enables material-specific imaging in CT, which in combination with high-Z element based contrast agents, opens up possibilities for new medical applications. In this paper, we present a CT system with energy detection capabilities, which was used to demonstrate the feasibility of quantitative K-edge CT imaging experimentally. A phantom was imaged containing PMMA, calcium-hydroxyapatite, water and two contrast agents based on iodine and gadolinium, respectively. Separate images of the attenuation by photoelectric absorption and Compton scattering were reconstructed from energy-resolved projection data using maximum-likelihood basis-component decomposition. The data analysis further enabled the display of images of the individual contrast agents and their concentrations, separated from the anatomical background. Measured concentrations of iodine and gadolinium were in good agreement with the actual concentrations. Prior to the tomographic measurements, the detector response functions for monochromatic illumination using synchrotron radiation were determined in the energy range 25 keV-60 keV. These data were used to calibrate the detector and derive a phenomenological model for the detector response and the energy bin sensitivities.

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          Author and article information

          Journal
          18612175
          10.1088/0031-9155/53/15/002

          Chemistry
          Calibration,Feasibility Studies,Image Processing, Computer-Assisted,Phantoms, Imaging,Photons,Synchrotrons,Tomography, X-Ray Computed,methods

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