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An adaptive multiscale anisotropic diffusion regularized image reconstruction method for digital breast tomosynthesis

  • Yangchuan Liu
  • Cishen Zhang
  • Wenru Li
  • Yuguo Tang
  • Xin GaoEmail author
Scientific Paper

Abstract

As a special case of tomography, digital breast tomosynthesis (DBT) can realize quasi-3D image reconstruction for breast lesion detection from few-view and limited-angle projection data. For DBT image reconstruction, iterative algorithms are needed to suppress artifacts due to undersampling, and adaptive regularizations are necessary for preserving the edges of masses and calcifications. This paper presents a novel reconstruction method by regularizing projection onto convex sets (POCS) with multiscale Tikhonov-total variation (MTTV). The regularization, known as adaptive multiscale anisotropic diffusion, is able to preserve edges to a considerable extent and selectively suppress noise without introducing artifacts. The proposed method is referred to as MTTV–POCS and is evaluated quantitatively using 3D numerical breast and Shepp-Logan phantoms as well as two clinical volume images acquired from an advanced DBT machine. Experimental results show that the proposed method has better performance in metrics of peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) over two existing methods: adaptive-steepest-descent-POCS (ASD-POCS) and selective-diffusion regularized simultaneous algebraic reconstruction technique (SD-SART). As indicated by the results, the proposed method is applicable to DBT for high-quality image reconstruction.

Keywords

Tomosynthesis Image reconstruction Anisotropic diffusion MTTV SART 

Notes

Funding

This research is supported by National Natural Science Foundation of China [61801475] and Science and Technology Plan Projects of Jiangsu – Society Development Project [BE2017671], and by Jiangsu Planned Projects for Postdoctoral Research Funds [2018K180C].

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Australasian College of Physical Scientists and Engineers in Medicine 2018

Authors and Affiliations

  1. 1.Medical Imaging Department, Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of SciencesSuzhouChina
  2. 2.School of Software and Electrical EngineeringSwinburne University of TechnologyHawthornAustralia
  3. 3.Department of RadiologySixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhouChina

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