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15 February 2021 Investigation of image reconstruction for digital breast tomosynthesis imaging by use of directional TV constraint
Zheng Zhang, Buxin Chen, Dan Xia, Emil Y. Sidky, Xiaochuan Pan
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Proceedings Volume 11595, Medical Imaging 2021: Physics of Medical Imaging; 115952F (2021) https://doi.org/10.1117/12.2581968
Event: SPIE Medical Imaging, 2021, Online Only
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Abstract
In digital breast tomosynthesis (DBT), in-plane images are of clinical utility, whereas images within transverse planes contain significant artifacts simply because the existing algorithms are not designed for reconstructing accurately images within transverse planes from extremely limited-angular-range data. In this work, we investigate and develop a convex primal-dual (CPD) algorithm that incorporates directional total-variation (DTV) constraints for yielding breast images within transverse planes with substantially reduced artifacts when images are reconstructed from DBT data. We have performed numerical studies to demonstrate that the algorithm proposed has the potential to yield breast images with substantially reduced artifacts within transverse planes observed in images obtained otherwise with existing algorithms.
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Zheng Zhang, Buxin Chen, Dan Xia, Emil Y. Sidky, and Xiaochuan Pan "Investigation of image reconstruction for digital breast tomosynthesis imaging by use of directional TV constraint", Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 115952F (15 February 2021); https://doi.org/10.1117/12.2581968
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KEYWORDS
Digital breast tomosynthesis
Digital imaging
Reconstruction algorithms
Image restoration
Mammography
Algorithm development
Yield improvement
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