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An Effective Segmentation Method for MRI Images Based on TV-L1 and GVF Model

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Abstract

Liver magnetic resonance imaging (MRI) is of vital importance for computer-aided diagnosis and it is equally important in liver surgery planning. In this paper, accurate contours of the liver in MRI images automatically for subsequent adaptive radiation therapy can be extracted by the work. It is consisted of three components. Firstly, noise and artifacts are removed from the MRI image by an edge-preserving filtering using total variation with L1 norm (TV-L1). Secondly, the wavelet parameters are calculated at different levels of scale, and then the initial contour of the liver is obtained at the appropriate scale. And finally the precise liver structure is extracted by the gradient vector flow (GVF) model converging to the initial contour. The accuracy of the segmentation results are verified by comparing with the manually ones. For clinical cases, the numerical results illustrates enough accuracy and robustness for medical environments. And it also has a reasonable computational cost.

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Acknowledgments

The research work was supported by National Natural Science foundation of China (Grant: 81400285).And the authors would also like to gratefully acknowledge the support from the key research and development foundation of Shandong Province (Grant: 2016GGX101016).

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Authors and Affiliations

  1. School of Physics and Electronics, Shandong Normal University, Jinan, China

    Yuefeng Zhao, Xiaofei Li, Weili Wang, Xiaoxiao Pan, Chaoying Yuan, Xiaomei Guan & Dongmei Wei

Authors
  1. Yuefeng Zhao
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  2. Xiaofei Li
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  3. Weili Wang
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  4. Xiaoxiao Pan
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  5. Chaoying Yuan
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  6. Xiaomei Guan
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  7. Dongmei Wei
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Contributions

The experiment is approved by School of Physics and Electronics, Shandong Normal University. Yuefeng Zhao made the experimental design. Xiaofei Li and Weili Wang carried out the experimental work, data collection. Xiaofei Li, Xiaoxiao Pan and Chaoying Yuan participated data analysis and the preparation of the manuscript. Dongmei Wei participated in the experimental design, analysis of data and theoretical analysis. And all the authors reviewed the final manuscript.

Corresponding authors

Correspondence to Yuefeng Zhao, Chaoying Yuan, Xiaomei Guan or Dongmei Wei.

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The authors declare no competing financial interests.

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Zhao, Y., Li, X., Wang, W. et al. An Effective Segmentation Method for MRI Images Based on TV-L1 and GVF Model. J Sign Process Syst 90, 1205–1211 (2018). https://doi.org/10.1007/s11265-017-1308-9

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  • DOI: https://doi.org/10.1007/s11265-017-1308-9

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