4.7 Article

Study of OSEM with different subsets in grating-based X-ray differential phase-contrast imaging

期刊

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 401, 期 3, 页码 837-844

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-011-5080-6

关键词

X-ray phase-contrast imaging; Computed tomography; Phase retrieval; OSEM

资金

  1. National Outstanding Youth Fund [10125523]
  2. Chinese Academy of Sciences [KJCX2-YW-N42]
  3. National Natural Science Foundation of China [10734070, NSFC 10774144, 10979055]
  4. National Basic Research Program of China [2009CB930804]

向作者/读者索取更多资源

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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