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    A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system

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    Author
    Vedantham, Srinivasan
    Shrestha, Suman
    Karellas, Andrew
    Cho, Sang Hyun
    Affiliation
    Univ Arizona, Dept Med Imaging
    Issue Date
    2017
    Keywords
    X-ray fluorescence computed tomography (XFCT)
    computed tomography (CT)
    small-animal imaging system
    
    Metadata
    Show full item record
    Publisher
    SPIE-INT SOC OPTICAL ENGINEERING
    Citation
    Srinivasan Vedantham, Suman Shrestha, Andrew Karellas, Sang Hyun Cho, "A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system", Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 103930R (7 September 2017); doi: 10.1117/12.2279351; https://doi.org/10.1117/12.2279351
    Journal
    RADIATION DETECTORS IN MEDICINE, INDUSTRY, AND NATIONAL SECURITY XVIII
    Rights
    © 2017 SPIE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Dual-modality Computed Tomography (CT)/X-ray Fluorescence Computed Tomography (XFCT) can be a valuable tool for imaging and quantifying the organ and tissue distribution of small concentrations of high atomic number materials in small-animal system. In this work, the framework for optimizing the micro-CT imaging system component of the dual modality system is described, either when the micro-CT images are concurrently acquired with XFCT and using the x-ray spectral conditions for XFCT, or when the micro-CT images are acquired sequentially and independently of XFCT. This framework utilizes the cascaded systems analysis for task-specific determination of the detectability index using numerical observer models at a given radiation dose, where the radiation dose is determined using Monte Carlo simulations.
    ISSN
    0277-786X
    1996-756X
    DOI
    10.1117/12.2279351
    Version
    Final published version
    Sponsors
    National Institutes of Health (NIH) [R01 EB020658, R01 CA195512, R01 CA199044]
    Additional Links
    https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10393/103930R/A-framework-for-optimizing-micro-CT-in-dual-modality-micro/10.1117/12.2279351.full?SSO=1
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2279351
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    UA Faculty Publications

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