Fast Exact/Quasi-Exact FBP Algorithms for Triple-Source Helical Cone-Beam CT

    Authors

    Y. Lu; A. Katsevich; J. Zhao; H. Y. Yu;G. Wang

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Med. Imaging

    Keywords

    Cardiac CT; computed tomography (CT); cone-beam CT (CBCT); filtered; backprojection (FBP); triple-source; RECONSTRUCTION ALGORITHM; COMPUTED-TOMOGRAPHY; STRATEGY; Computer Science, Interdisciplinary Applications; Engineering, ; Biomedical; Engineering, Electrical & Electronic; Imaging Science &; Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging

    Abstract

    Cardiac computed tomography (CT) has been improved over past years, but it still needs improvement for higher temporal resolution in the cases of high or irregular cardiac rates. Given successful applications of dual-source cardiac CT scanners, triple-source cone-beam CT seems a promising mode for cardiac CT. In this paper, we propose two filtered-backprojection algorithms for triple-source helical cone-beam CT. The first algorithm utilizes two families of filtering lines. These lines are parallel to the tangent of the scanning trajectory and the so-called lines. The second algorithm utilizes two families of filtering lines tangent to the boundaries of the Zhao window and lines, respectively, but it eliminates the filtering paths along the tangent of the scanning trajectory, thus reducing the required detector size greatly. The first algorithm is theoretically exact for r < 0.265R and quasi-exact for 0.265R <= r < 0.495R, and the second algorithm is quasi-exact for r < 0.495R, where and denote the object radius and the trajectory radius, respectively. Both algorithms are computationally efficient. Numerical results are presented to verify and showcase the proposed algorithms.

    Journal Title

    Ieee Transactions on Medical Imaging

    Volume

    29

    Issue/Number

    3

    Publication Date

    1-1-2010

    Document Type

    Article

    Language

    English

    First Page

    756

    Last Page

    770

    WOS Identifier

    WOS:000276308800015

    ISSN

    0278-0062

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