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    New iterative cone beam CT reconstruction software: parameter optimisation and convergence study.

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    Authors
    Qiu, W
    Tong, J R
    Mitchell, C N
    Marchant, Thomas E
    Spencer, P
    Moore, Christopher J
    Soleimani, M
    Affiliation
    Department of Electronic and Electrical Engineering, University of Bath, Bath, BA2 7AY, UK.
    Issue Date
    2010-11
    
    Metadata
    Show full item record
    Abstract
    Cone beam computed tomography (CBCT) provides a volumetric image reconstruction from tomographic projection data. Image quality is the main concern for reconstruction in comparison to conventional CT. The reconstruction algorithm used is clearly important and should be carefully designed, developed and investigated before it can be applied clinically. The Multi-Instrument Data Analysis System (MIDAS) tomography software originally designed for geophysical applications has been modified to CBCT image reconstruction. In CBCT reconstruction algorithms, iterative methods offer the potential to generate high quality images and would be an advantage especially for down-sampling projection data. In this paper, studies of the CBCT iterative algorithms implemented in MIDAS are presented. Stability, convergence rate, quality of reconstructed image and edge recovery are suggested as the main criteria for monitoring reconstructive performance. Accordingly, the selection of relaxation parameter and number of iterations are studied in detail. Results are presented, where images are reconstructed from full and down-sampled cone beam CT projection data using iterative algorithms. Various iterative algorithms have been implemented and the best selection of the iteration number and relaxation parameters are investigated for ART. Optimal parameters are chosen where the errors in projected data as well as image errors are minimal.
    Citation
    New iterative cone beam CT reconstruction software: parameter optimisation and convergence study. 2010, 100 (2):166-74 Comput Methods Programs Biomed
    Journal
    Computer Methods and Programs in Biomedicine
    URI
    http://hdl.handle.net/10541/115790
    DOI
    10.1016/j.cmpb.2010.03.012
    PubMed ID
    20471711
    Type
    Article
    Language
    en
    ISSN
    1872-7565
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cmpb.2010.03.012
    Scopus Count
    Collections
    All Christie Publications
    Christie Medical Physics and Engineering Research

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