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Image-guided simulation of tissue deformation using a mechanical model on a surgical application

Author

Listed:
  • Toan B. Nguyen
  • Albert Y. Huang
  • Vid Fikfak
  • Brian J. Dunkin
  • Marc Garbey

Abstract

This paper presents a method for localizing the position of a liver and a tumor within the tissue during a minimally invasive liver operation. From pre-operative CT scans, the liver volume and its internal structures are segmented using image-processing techniques. Based on these segmentations, a three-dimensional mechanical model is built to compute the liver volume and internal structure displacement under boundary conditions such as external forces from the surgical instrument. This can help the surgeon understand the motion of internal structures when manipulating the liver. To validate our method, an experiment on a porcine liver explant was performed to assess the difference between actual tissue motion and the mechanical model.

Suggested Citation

  • Toan B. Nguyen & Albert Y. Huang & Vid Fikfak & Brian J. Dunkin & Marc Garbey, 2017. "Image-guided simulation of tissue deformation using a mechanical model on a surgical application," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(2), pages 206-214, January.
    • Handle: RePEc:taf:gcmbxx:v:20:y:2017:i:2:p:206-214
    DOI: 10.1080/10255842.2016.1214269
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