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Space carving and filtered back-projection as preconditioners for proton computed tomography reconstruction

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper considers how to determine the boundary of an object by comparing two methods: space carving (SC) and filtered back-projection (FBP). Determination of the boundary is an important first step in proton CT. The boundary is used to set up the large sparse linear system of equations, which are then solved to determine the relative stopping power of each element (voxel) in the object. For instance, to find the path of the proton through the object, the entry and exit points on the boundary must first be found. The boundary also becomes important in the iterative reconstruction, as only voxels inside the object are updated, to reduce computational complexity and prevent external artifacts from forming. SC and FBP are compared on speed and boundary results for four cases: (1) noiseless simulated data, (2) noisy simulated data, (3) a real pediatric head phantom, and (4) a real rat. The usefulness and potential of both methods are discussed and future directions are outlined. © 2012 IEEE.
    Original languageAmerican English
    Title of host publication2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)
    Pages4335-4340
    Number of pages6
    DOIs
    StatePublished - Jul 8 2013
    Event2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States
    Duration: Oct 29 2012Nov 3 2012

    Publication series

    NameNuclear Science Symposium and Medical Imaging Conference

    Conference

    Conference2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
    Country/TerritoryUnited States
    CityAnaheim, CA
    Period10/29/1211/3/12

    ASJC Scopus Subject Areas

    • Radiation
    • Nuclear and High Energy Physics
    • Radiology Nuclear Medicine and imaging

    Keywords

    • Filtered Back-Projection
    • Preconditioning
    • Proton Computed Tomography
    • Space Carving

    Disciplines

    • Mathematics
    • Applied Mathematics
    • Artificial Intelligence and Robotics

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