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Journal of Electronic Imaging

Ray-tracing-based reconstruction algorithms for digital breast tomosynthesis
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Paper Abstract

As a breast-imaging technique, digital breast tomosynthesis has great potential to improve the diagnosis of early breast cancer over mammography. Ray-tracing-based reconstruction algorithms, such as ray-tracing back projection, maximum-likelihood expectation maximization (MLEM), ordered-subset MLEM (OS-MLEM), and simultaneous algebraic reconstruction technique (SART), have been developed as reconstruction methods for different breast tomosynthesis systems. This paper provides a comparative study to investigate these algorithms by computer simulation and phantom study. Experimental results suggested that, among the four investigated reconstruction algorithms, OS-MLEM and SART performed better in interplane artifact removal with a fast speed convergence.

Paper Details

Date Published: 15 April 2015
PDF: 5 pages
J. Electron. Imaging. 24(2) 023028 doi: 10.1117/1.JEI.24.2.023028
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Weihua Zhou, Southern Illinois Univ. Carbondale (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
Ying Chen, Southern Illinois Univ. Carbondale (United States)


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