國家衛生研究院 NHRI:Item 3990099045/4848
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    题名: A row-action image reconstruction of short time frame for microPET dynamic study
    其它题名: Nuclear Science Symposium Conference Record, 2005 IEEE
    作者: Vasko, A;Hsu, CH;Lin, MC;Hsiao, IT;Wieholt, C;Chen, CT
    贡献者: Division of Medical Engineering Research
    摘要: Dynamic PET imaging usually involves the collection of a series of frames of sinogram data over contiguous short-time intervals. Since scans with shorter acquisition time are usually very noisy, iterative image reconstruction can not ensure for both stable and fast convergence. The more recently row-action maximum-likelihood algorithm (RAMLA) allows sequences of orthogonal projections and a relaxation parameter to control updating of the log-likelihood objective for sure convergence. For noisy and low-count sinogram, larger subset sizes with appropriate choice of relaxation scheme can be combined to achieve fast convergence. In this work, we investigate RAMLA with fixed relaxation parameter and with subset-dependent relaxation parameter of Tanaka and Kudo for microPET dynamic scans. The experimental results have indicated the RAMLA with subset-dependent relaxation parameter can reach the plateau of the likelihood function faster than RMLA with fixed relaxation. The OSEM algorithm with the same subset size fails to converge for such a low-count case. The smaller subset of OSEM is used, but the likelihood function converges to a sub-optimal solution. The results suggest that the RAMLA with subset-dependent relaxation scheme is suitable for low-count dynamic PET imaging using microPET.
    日期: 2005-10
    關聯: 2005 IEEE Nuclear Science Symposium Conference Record. 2005 Oct;5:2510-2513(Article number 1596850).
    Link to: http://dx.doi.org/10.1109/NSSMIC.2005.1596850
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000241851904016
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33846646146
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