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

Toan B. Nguyen, Albert Y. Huang, Vid Fikfak, Brian J. Dunkin, Marc Garbey

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)206-214
Number of pages9
JournalComputer Methods in Biomechanics and Biomedical Engineering
Issue number2
StatePublished - Jul 23 2016


  • Image segmentation
  • hepatic surgery
  • mechanical model
  • simulation
  • surgical planning
  • tissue model validation

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications


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