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    GPU-accelerated generic analytic simulation and image reconstruction platform for multi-pinhole SPECT systems

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    Author
    Zeraatkar, Navid
    Auer, Benjamin
    Kalluri, Kesava
    Furenlid, Lars R.
    Kuo, Philip H.
    King, Michael A.
    Affiliation
    Univ Arizona, Dept Med Imaging
    Issue Date
    2019-05-28
    Keywords
    analytic simulation
    image reconstruction
    pinhole
    multi-pinhole
    SPECT
    GPU
    parallel programming
    
    Metadata
    Show full item record
    Publisher
    SPIE-INT SOC OPTICAL ENGINEERING
    Citation
    Zeraatkar, N., Auer, B., Kalluri, K., Furenlid, L. R., Kuo, P. H., & King, M. A. (2019, May). GPU-accelerated generic analytic simulation and image reconstruction platform for multi-pinhole SPECT systems. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Vol. 11072, p. 1107216). International Society for Optics and Photonics.
    Journal
    15TH INTERNATIONAL MEETING ON FULLY THREE-DIMENSIONAL IMAGE RECONSTRUCTION IN RADIOLOGY AND NUCLEAR MEDICINE
    Rights
    © 2019 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
    We introduce a generic analytic simulation and image reconstruction software platform for multi-pinhole (MPH) SPECT systems. The platform is capable of modeling common or sophisticated MPH designs as well as complex data acquisition schemes. Graphics processing unit (GPU) acceleration was utilized to make a high-performance computing software. Herein, we describe the software platform and provide verification studies of the simulation and image reconstruction software.
    ISSN
    0277-786X
    DOI
    10.1117/12.2534523
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2534523
    Scopus Count
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    UA Faculty Publications

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