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    Design of a practical model-observer-based image quality assessment method for x-ray computed tomography imaging systems

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    JMI_3_3_035503.pdf
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    Author
    Tseng, Hsin-Wu
    Fan, Jiahua
    Kupinski, Matthew A.
    Affiliation
    Univ Arizona, Coll Opt Sci
    Issue Date
    2016-07-28
    Keywords
    model observer
    CHO
    CSLO
    data reduction
    leave-one-out likelihood
    
    Metadata
    Show full item record
    Publisher
    SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
    Citation
    Design of a practical model-observer-based image quality assessment method for x-ray computed tomography imaging systems 2016, 3 (3):035503 Journal of Medical Imaging
    Journal
    Journal of Medical Imaging
    Rights
    © 2016 Society of Photo-Optical Instrumentation Engineers
    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
    The use of a channelization mechanism on model observers not only makes mimicking human visual behavior possible, but also reduces the amount of image data needed to estimate the model observer parameters. The channelized Hotelling observer (CHO) and channelized scanning linear observer (CSLO) have recently been used to assess CT image quality for detection tasks and combined detection/estimation tasks, respectively. Although the use of channels substantially reduces the amount of data required to compute image quality, the number of scans required for CT imaging is still not practical for routine use. It is our desire to further reduce the number of scans required to make CHO or CSLO an image quality tool for routine and frequent system validations and evaluations. This work explores different data-reduction schemes and designs an approach that requires only a few CT scans. Three different kinds of approaches are included in this study: a conventional CHO/CSLO technique with a large sample size, a conventional CHO/CSLO technique with fewer samples, and an approach that we will show requires fewer samples to mimic conventional performance with a large sample size. The mean value and standard deviation of areas under ROC/EROC curve were estimated using the well-validated shuffle approach. The results indicate that an 80% data reduction can be achieved without loss of accuracy. This substantial data reduction is a step toward a practical tool for routine-task-based QA/QC CT system assessment. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
    Note
    SPIE grants to authors of papers published in an SPIE Journal or Proceedings the right to post an author-prepared version or an official version (preferred version) of the published paper on an internal or external server controlled exclusively by the author/employer, provided that (a) such posting is noncommercial in nature and the paper is made available to users without charge; (b) an appropriate copyright notice and full citation appear with the paper, and (c) a link to SPIE's official online version of the abstract is provided using the DOI (Document Object Identifier) link.
    ISSN
    2329-4302
    PubMed ID
    27493982
    DOI
    10.1117/1.JMI.3.3.035503
    Version
    Final published version
    Additional Links
    http://medicalimaging.spiedigitallibrary.org/article.aspx?doi=10.1117/1.JMI.3.3.035503
    ae974a485f413a2113503eed53cd6c53
    10.1117/1.JMI.3.3.035503
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