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  • Author(s):
    Tyler E. Curtis, Ryan K. Roeder
    Abstract:

    Advances in photon‐counting detectors have enabled quantitative material decomposition using multi‐energy or spectral computed tomography (CT). Supervised methods for material decomposition utilize an estimated attenuation for each material of interest at each photon energy level, which must be calibrated based upon calculated or measured values for known compositions. Measurements using a calibration phantom can advantageously account for system‐specific noise, but the effect of calibration …

    Date Published:
    2017
  • Author(s):
    Tyler E. Curtis, Ryan K. Roeder
    Abstract:

    Photon-counting detectors and nanoparticle contrast agents can potentially enable molecular imaging and material decomposition in computed tomography (CT). Material decomposition has been investigated using both simulated and acquired data sets. However, the effect of calibration methods on material decomposition has not been systematically investigated. Therefore, the objective of this study was to investigate the influence of the range and number of contrast agent concentrations within a mo…

    Date Published:
    2017
  • Author(s):
    Ryan K. Roeder, Tyler E. Curtis, Prakash D. Nallathamby, Lisa E. Irimata, Tracie L. McGinnity, Lisa E. Cole, Tracy Vargo-Gogola, Karen D. Cowden Dahl
    Abstract:

    Precision imaging is needed to realize precision medicine in cancer detection and treatment. Molecular imaging offers the ability to target and identify tumors, associated abnormalities, and specific cell populations with overexpressed receptors. Nuclear imaging and radionuclide probes provide high sensitivity but subject the patient to a high radiation dose and provide limited spatiotemporal information, requiring combined computed tomography (CT) for anatomic imaging. Therefore, nanoparticl…

    Date Published:
    2017