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Asian Conference on Pattern Recognition

ACPR 2019: Pattern Recognition pp 150–159Cite as

Real-Time Morphing of the Visible Man Liver with Intrahepatic Vasculatures

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1180))

Abstract

Computational models for liver deformation are usually performed without considering intrahepatic vasculatures. The major hurdle is the computational cost when deforming the liver and its vessels simultaneously. In this paper we introduce a numerical method containing a combined constrained constructive optimisation (CCO) algorithm and host mesh fitting (HMF) algorithm. While the CCO algorithm is used to generate a large liver vascular network, the HMF algorithm morphs hepatic structure within a host mesh. This technique is applied to the liver of the Visible Man (VM), where total 16,300 vessels are generated to extend the 84 digitised portal and hepatic veins in the VM liver. The liver deformation due to respiration effects and heart beats is simulated in real-time (35 Hz) and matched with the video sequence of an endovascular Trans-Arterial Chemo Embolization (TACE) procedure. In conclusion an efficient method for morphing a virtual liver containing large vasculatures is proposed, and may have applications in chemotherapy and endovascular simulations.

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Author information

Authors and Affiliations

  1. Department of Fluid Mechanics and Hydraulics, ENSEEIHT, National Polytechnic Institute of Toulouse, Toulouse, France

    Maxime Berg

  2. Neurosurgery Department, West China Hospital, Chengdu, Sichuan, China

    Changwei Zhang

  3. Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand

    Harvey Ho

Authors
  1. Maxime Berg
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  2. Changwei Zhang
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  3. Harvey Ho
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Corresponding author

Correspondence to Harvey Ho .

Editor information

Editors and Affiliations

  1. University of Waikato, Hamilton, New Zealand

    Michael Cree

  2. National Ilan University, Yilan, Taiwan

    Fay Huang

  3. State University of New York at Buffalo, Buffalo, NY, USA

    Junsong Yuan

  4. Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

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Berg, M., Zhang, C., Ho, H. (2020). Real-Time Morphing of the Visible Man Liver with Intrahepatic Vasculatures. In: Cree, M., Huang, F., Yuan, J., Yan, W. (eds) Pattern Recognition. ACPR 2019. Communications in Computer and Information Science, vol 1180. Springer, Singapore. https://doi.org/10.1007/978-981-15-3651-9_14

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  • DOI: https://doi.org/10.1007/978-981-15-3651-9_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3650-2

  • Online ISBN: 978-981-15-3651-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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