Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1217002(2022)

Liver Segmentation from CT Volumes Based on Spatial Fuzzy C-Means and Graph Cuts

Qing Yang1, Yuqian Zhao1,2、*, Fan Zhang1, and Miao Liao1
Author Affiliations
  • 1School of Automation, Central South University, Changsha 410083, Hunan , China
  • 2Hunan Engineering and Technology Research Center of High Strength Fastener Intelligent Manufacturing, Changde 415701, Hunan , China
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    Figures & Tables(11)
    Volumetric histogram of CT volume with DICOM data
    Flowchart of proposed method
    Removal of spine and ribs
    Liver segmentation from initial slice
    Segmentation result. (a) Without location information; (b) with location information
    Constrains estimation. (a) Result of previous segmentation; (b) image to be segmented; (c) image of distance transformation
    Comparison of segmentation results. (a) Without neighborhood pixels; (b) with neighborhood pixels
    Removal of inferior vena cava. (a) Result of segmentation; (b) result of erosion; (c) region of postcava; (d) result of postcava removal
    Result comparison of HLS, IRG, and proposed methods. (a) Results of HLS; (b) results of IRG; (c) results of proposed method
    Performance comparison of three methods over 20 CT volumes. Horizontal axis is number of CT volume and vertical axis are values of 5 evaluation methods, respectively. (a) VOE; (b) RVD; (c) ASD; (d) RMSD; (e) MSD
    • Table 1. Performance comparison of three methods. Results of each method are mean and standard deviation of all test data

      View table

      Table 1. Performance comparison of three methods. Results of each method are mean and standard deviation of all test data

      MethodVOE /%RVD /%ASD /mmRMSD /mmMSD /mm
      HLS11.1±2.4-6.3±3.12.3±0.85.2±1.940.2±9.4
      IRG8.1±2.0-3.0±2.91.3±0.52.9±1.245.5±21.9
      Proposed6.4±1.7-2.8±1.51.0±0.31.5±0.416.9±5.7
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    Qing Yang, Yuqian Zhao, Fan Zhang, Miao Liao. Liver Segmentation from CT Volumes Based on Spatial Fuzzy C-Means and Graph Cuts[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1217002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Apr. 16, 2021

    Accepted: Jun. 11, 2021

    Published Online: May. 23, 2022

    The Author Email: Zhao Yuqian (zyq@ceu.edu.cn)

    DOI:10.3788/LOP202259.1217002

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