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Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (MICCAI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11768))

Abstract

Microwave ablation (MWA) is an effective minimal invasive therapy of hepatic cancer. Preoperative treatment planning is key to successful ablation, which aims to find a plan with the minimum number of electrode trajectories, least damage to surrounding tissues, while satisfying multiple clinical constraints. However, this is a multiple objective optimization problem, making it very challenging to find an optimized plan while achieving all the above goals, especially for larger tumors. In this paper, we present a set cover-based method, which can provide Pareto optimal solutions for MWA planning. Evaluation has been performed on 6 tumors with varied sizes selected by interventionalists. Results show that all the generated plans satisfied the clinical constraints and the Pareto optimal solutions are useful to find a suitable trade-off between the number of electrode trajectories and damage to normal tissues.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Tsinghua University, Bei**g, China

    Libin Liang, Guangzhi Wang & Hui Ding

  2. Robarts Research Institute, Western University, London, ON, Canada

    Libin Liang & Aaron Fenster

  3. Department of Medical Imaging, Western University, London, ON, Canada

    Derek Cool & Aaron Fenster

  4. Department of Radiology, Manchester Royal Infirmary, Manchester, UK

    Nirmal Kakani

Authors
  1. Libin Liang
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  2. Derek Cool
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  3. Nirmal Kakani
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  4. Guangzhi Wang
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  5. Hui Ding
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  6. Aaron Fenster
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Corresponding author

Correspondence to Guangzhi Wang .

Editor information

Editors and Affiliations

  1. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

    Dinggang Shen

  2. University of Georgia, Athens, GA, USA

    Tianming Liu

  3. Western University, London, ON, Canada

    Terry M. Peters

  4. Yale University, New Haven, CT, USA

    Lawrence H. Staib

  5. University of Strasbourg, Illkirch, France

    Caroline Essert

  6. United Imaging Intelligence, Shanghai, China

    Sean Zhou

  7. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

    Pew-Thian Yap

  8. Western University, London, ON, Canada

    Ali Khan

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Supplementary material 1 (MP4 12472 kb)

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Liang, L., Cool, D., Kakani, N., Wang, G., Ding, H., Fenster, A. (2019). Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation. In: Shen, D., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science(), vol 11768. Springer, Cham. https://doi.org/10.1007/978-3-030-32254-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-32254-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32253-3

  • Online ISBN: 978-3-030-32254-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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