Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-56781
Zhang, K; Hong, Y; Zhu, P; Yuan, Q; Huang, W; Wang, Z; Chu, S; McDonald, S A; Marone, F; Stampanoni, M; Wu, Z (2011). Study of OSEM with different subsets in grating-based X-ray differential phase-contrast imaging. Analytical and Bioanalytical Chemistry, 401(3):837-844.
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Impressive developments in X-ray imaging are associated with X-ray phase contrast computed tomography based on grating interferometry, a technique that provides increased contrast compared with conventional absorption-based imaging. A new "single-step" method capable of separating phase information from other contributions has been recently proposed. This approach not only simplifies data-acquisition procedures, but, compared with the existing phase step approach, significantly reduces the dose delivered to a sample. However, the image reconstruction procedure is more demanding than for traditional methods and new algorithms have to be developed to take advantage of the "single-step" method. In the work discussed in this paper, a fast iterative image reconstruction method named OSEM (ordered subsets expectation maximization) was applied to experimental data to evaluate its performance and range of applicability. The OSEM algorithm with different subsets was also characterized by comparison of reconstruction image quality and convergence speed. Computer simulations and experimental results confirm the reliability of this new algorithm for phase-contrast computed tomography applications. Compared with the traditional filtered back projection algorithm, in particular in the presence of a noisy acquisition, it furnishes better images at a higher spatial resolution and with lower noise. We emphasize that the method is highly compatible with future X-ray phase contrast imaging clinical applications.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > Institute of Biomedical Engineering|
|Dewey Decimal Classification:||170 Ethics
610 Medicine & health
|Deposited On:||28 Feb 2012 12:49|
|Last Modified:||05 Apr 2016 15:28|
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