國家衛生研究院 NHRI:Item 3990099045/4849
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    題名: On the convergence of iterative ordered-subset algorithms in small animal PET
    其他題名: 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008
    作者: Hsu, LW;Hsu, CH;Hsiao, IT;Lin, KM
    貢獻者: Division of Medical Engineering Research
    摘要: The purpose of this study was to investigate the convergence of iterative ordered-subset algorithms in small animal PET studies. For routine practice, the most popular method is the OSEM which requires subset balance criterion for convergence. Another iterative ordered-subset algorithm, proven to be convergent, is the RAMLA which relies on a relaxation parameter to modulate the updating steps from iteration to iteration. An emerging ordered-subset and convergent algorithm is COSEM which elegantly integrates the complete data space to ensure algorithm convergence, and the ordered-subset to accelerate convergent rate. In this study, we will use clinical small animal PET data to evaluate the convergence performance of these three iterative ordered-subset algorithms under different conditions such as subset number and count rate. This study can also provide some guidelines for choosing appropriate algorithm with suitable parameter to achieve desirable convergence speed and accuracy.
    日期: 2008-10
    關聯: 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008. 2008 Oct:5125-5128.
    Link to: http://dx.doi.org/10.1109/NSSMIC.2008.4774389
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000268656002128
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=67649223231
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