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Proceedings Paper

Pre-computed backprojection based penalized-likelihood (PPL) reconstruction with an edge-preserved regularizer for stationary Digital Breast Tomosynthesis
Author(s): Shiyu Xu; Christy Redmon Inscoe; Jianping Lu; Otto Zhou; Ying Chen
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Paper Abstract

Stationary Digital Breast Tomosynthesis (sDBT) is a carbon nanotube based breast imaging device with fast data acquisition and decent projection resolution to provide three dimensional (3-D) volume information. To- mosynthesis 3-D image reconstruction is faced with the challenges of the cone beam geometry and the incomplete and nonsymmetric sampling due to the sparse views and limited view angle. Among all available reconstruction methods, statistical iterative method exhibits particular promising since it relies on an accurate physical and statistical model with prior knowledge. In this paper, we present the application of an edge-preserved regularizer to our previously proposed precomputed backprojection based penalized-likelihood (PPL) reconstruction. By using the edge-preserved regularizer, our experiments show that through tuning several parameters, resolution can be retained while noise is reduced significantly. Compared to other conventional noise reduction techniques in image reconstruction, less resolution is lost in order to gain certain noise reduction, which may benefit the research of low dose tomosynthesis.

Paper Details

Date Published: 19 March 2014
PDF: 6 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903359 (19 March 2014); doi: 10.1117/12.2043772
Show Author Affiliations
Shiyu Xu, Southern Illinois Univ. Carbondale (United States)
Christy Redmon Inscoe, The Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)
Ying Chen, Southern Illinois Univ. Carbondale (United States)


Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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