Literature DB >> 18727148

An efficient soft tissue characterization algorithm from in vivo indentation experiments for medical simulation.

Jung Kim1, Bummo Ahn, Suvranu De, Mandayam A Srinivasan.   

Abstract

BACKGROUND: Realistic virtual reality surgical training simulators require an accurate biomechanical model of in vivo soft tissue behaviour. One of the challenges in modelling is to characterize soft tissue properties incorporating the experimental measurements of organ behaviour.
METHOD: Organ measurements were collected from intra-abdominal organs of pigs, using a robotic indenter and a force transducer. The constitutive model was fitted to the in vivo data using the Levenberg-Marquardt optimization algorithm, combined with a three-dimensional non-linear finite element (FE) simulation.
RESULTS: This paper presents an integrated framework for measuring, modelling and calibrating organs' material properties and provides parameters for modelling pigs' intra-abdominal organs.
CONCLUSION: The calibrated mechanical models are suitable for computing accurate reaction forces on surgical instruments and for computing the deformations of organs. They also provide a useful benchmark for measuring the realism of real-time tissue models used in virtual reality-based surgical trainers.

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Year:  2008        PMID: 18727148     DOI: 10.1002/rcs.209

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  2 in total

1.  Robotic palpation and mechanical property characterization for abnormal tissue localization.

Authors:  Bummo Ahn; Yeongjin Kim; Cheol Kyu Oh; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2012-07-07       Impact factor: 2.602

2.  Biomechanical characterisation of fresh and cadaverous human small intestine: applications for abdominal trauma.

Authors:  Stéphane Bourgouin; Thierry Bège; Catherine Masson; Pierre-Jean Arnoux; Julien Mancini; Stéphane Garcia; Christian Brunet; Stéphane V Berdah
Journal:  Med Biol Eng Comput       Date:  2012-10-05       Impact factor: 2.602

  2 in total

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