Ray-tracing-based reconstruction algorithms for digital breast tomosynthesis

Weihua Zhou; Jianping Lu; Otto Zhou; Ying Chen

doi:10.1117/1.JEI.24.2.023028

15 April 2015 Ray-tracing-based reconstruction algorithms for digital breast tomosynthesis

Weihua Zhou, Jianping Lu, Otto Zhou, Ying Chen

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 2, 023028 (April 2015). https://doi.org/10.1117/1.JEI.24.2.023028

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.

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Weihua Zhou, Jianping Lu, Otto Zhou, and Ying Chen "Ray-tracing-based reconstruction algorithms for digital breast tomosynthesis," Journal of Electronic Imaging 24(2), 023028 (15 April 2015). https://doi.org/10.1117/1.JEI.24.2.023028

Published: 15 April 2015

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