International Journal of Biomedical Engineering and Clinical Science

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Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages

Received: 11 September 2023    Accepted: 26 September 2023    Published: 9 November 2023
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Abstract

This article presents an evaluation of biliary tract segmentation methods used for 3D reconstruction, which may be very usefull in various critical interventions, such as endoscopic retrograde cholangiopancreatography (ERCP), using the 3D Slicer software. This article provides an assessment of biliary tract segmentation techniques employed for 3D reconstruction, which can prove highly valuable in diverse critical procedures like endoscopic retrograde cholangiopancreatography (ERCP) through the utilization of 3D Slicer software. Three different methods, namely thresholding, flood filling, and region growing, were assessed in terms of their advantages and disadvantages. The study involved 10 patient cases and employed quantitative indices and qualitative evaluation to assess the segmentations obtained by the different segmentation methods against ground truth. The results indicate that the thresholding method is almost manual and time-consuming, while the flood filling method is semi-automatic and also time-consuming. Although both methods improve segmentation quality, they are not reproducible. Therefore, an automatic method based on region growing was developed to reduce segmentation time, albeit at the expense of quality. These findings highlight the pros and cons of different conventional segmentation methods and underscore the need to explore alternative approaches, such as deep learning, to optimize biliary tract segmentation in the context of ERCP.

DOI 10.11648/j.ijbecs.20230904.11
Published in International Journal of Biomedical Engineering and Clinical Science (Volume 9, Issue 4, December 2023)
Page(s) 66-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Segmentation, Biliary Tract, MRI Images, ERCP, U-Net

References
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Cite This Article
  • APA Style

    Essamlali, A., Millot-Maysounabe, V., Chartier, M., Salin, G., Becq, A., et al. (2023). Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages. International Journal of Biomedical Engineering and Clinical Science, 9(4), 66-74. https://doi.org/10.11648/j.ijbecs.20230904.11

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    ACS Style

    Essamlali, A.; Millot-Maysounabe, V.; Chartier, M.; Salin, G.; Becq, A., et al. Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages. Int. J. Biomed. Eng. Clin. Sci. 2023, 9(4), 66-74. doi: 10.11648/j.ijbecs.20230904.11

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    AMA Style

    Essamlali A, Millot-Maysounabe V, Chartier M, Salin G, Becq A, et al. Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages. Int J Biomed Eng Clin Sci. 2023;9(4):66-74. doi: 10.11648/j.ijbecs.20230904.11

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  • @article{10.11648/j.ijbecs.20230904.11,
      author = {Abdelhadi Essamlali and Vincent Millot-Maysounabe and Marion Chartier and Grégoire Salin and Aymeric Becq and Lionel Arrivé and Marine Duboc Camus and Jérôme Szewczyk and Isabelle Claude},
      title = {Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages},
      journal = {International Journal of Biomedical Engineering and Clinical Science},
      volume = {9},
      number = {4},
      pages = {66-74},
      doi = {10.11648/j.ijbecs.20230904.11},
      url = {https://doi.org/10.11648/j.ijbecs.20230904.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbecs.20230904.11},
      abstract = {This article presents an evaluation of biliary tract segmentation methods used for 3D reconstruction, which may be very usefull in various critical interventions, such as endoscopic retrograde cholangiopancreatography (ERCP), using the 3D Slicer software. This article provides an assessment of biliary tract segmentation techniques employed for 3D reconstruction, which can prove highly valuable in diverse critical procedures like endoscopic retrograde cholangiopancreatography (ERCP) through the utilization of 3D Slicer software. Three different methods, namely thresholding, flood filling, and region growing, were assessed in terms of their advantages and disadvantages. The study involved 10 patient cases and employed quantitative indices and qualitative evaluation to assess the segmentations obtained by the different segmentation methods against ground truth. The results indicate that the thresholding method is almost manual and time-consuming, while the flood filling method is semi-automatic and also time-consuming. Although both methods improve segmentation quality, they are not reproducible. Therefore, an automatic method based on region growing was developed to reduce segmentation time, albeit at the expense of quality. These findings highlight the pros and cons of different conventional segmentation methods and underscore the need to explore alternative approaches, such as deep learning, to optimize biliary tract segmentation in the context of ERCP.
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Bile Duct Segmentation Methods Under 3D Slicer Applied to ERCP: Advantages and Disadvantages
    AU  - Abdelhadi Essamlali
    AU  - Vincent Millot-Maysounabe
    AU  - Marion Chartier
    AU  - Grégoire Salin
    AU  - Aymeric Becq
    AU  - Lionel Arrivé
    AU  - Marine Duboc Camus
    AU  - Jérôme Szewczyk
    AU  - Isabelle Claude
    Y1  - 2023/11/09
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ijbecs.20230904.11
    DO  - 10.11648/j.ijbecs.20230904.11
    T2  - International Journal of Biomedical Engineering and Clinical Science
    JF  - International Journal of Biomedical Engineering and Clinical Science
    JO  - International Journal of Biomedical Engineering and Clinical Science
    SP  - 66
    EP  - 74
    PB  - Science Publishing Group
    SN  - 2472-1301
    UR  - https://doi.org/10.11648/j.ijbecs.20230904.11
    AB  - This article presents an evaluation of biliary tract segmentation methods used for 3D reconstruction, which may be very usefull in various critical interventions, such as endoscopic retrograde cholangiopancreatography (ERCP), using the 3D Slicer software. This article provides an assessment of biliary tract segmentation techniques employed for 3D reconstruction, which can prove highly valuable in diverse critical procedures like endoscopic retrograde cholangiopancreatography (ERCP) through the utilization of 3D Slicer software. Three different methods, namely thresholding, flood filling, and region growing, were assessed in terms of their advantages and disadvantages. The study involved 10 patient cases and employed quantitative indices and qualitative evaluation to assess the segmentations obtained by the different segmentation methods against ground truth. The results indicate that the thresholding method is almost manual and time-consuming, while the flood filling method is semi-automatic and also time-consuming. Although both methods improve segmentation quality, they are not reproducible. Therefore, an automatic method based on region growing was developed to reduce segmentation time, albeit at the expense of quality. These findings highlight the pros and cons of different conventional segmentation methods and underscore the need to explore alternative approaches, such as deep learning, to optimize biliary tract segmentation in the context of ERCP.
    
    VL  - 9
    IS  - 4
    ER  - 

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Author Information
  • Biomechanics and Bioengineering Laboratory, University of Technology of Compiègne, Compiègne, France

  • Biomechanics and Bioengineering Laboratory, University of Technology of Compiègne, Compiègne, France

  • Digestive Endoscopy Department, Saint-Antoine Hospital, Paris, France

  • Digestive Endoscopy Department, Saint-Antoine Hospital, Paris, France

  • Gastroenterology Department, Henri Mondor Hospital, Creteil, France

  • Radiology Department, Saint-Antoine Hospital, Paris, France

  • Digestive Endoscopy Department, Saint-Antoine Hospital, Paris, France

  • Institute of Intelligent Systems and Robotics, Sorbonne University, Paris, France

  • Biomechanics and Bioengineering Laboratory, University of Technology of Compiègne, Compiègne, France

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