Literature DB >> 20033602

Development and validation of a viscoelastic and nonlinear liver model for needle insertion.

Yo Kobayashi1, Akinori Onishi, Takeharu Hoshi, Kazuya Kawamura, Makoto Hashizume, Masakatsu G Fujie.   

Abstract

OBJECTIVE: The objective of our work is to develop and validate a viscoelastic and nonlinear physical liver model for organ model-based needle insertion, in which the deformation of an organ is estimated and predicted, and the needle path is determined with organ deformation taken into consideration.
MATERIALS AND METHODS: First, an overview is given of the development of the physical liver model. The material properties of the liver considering viscoelasticity and nonlinearity are modeled based on the measured data collected from a pig's liver. The method to develop the liver model using FEM is also shown. Second, the experimental method to validate the model is explained. Both in vitro and in vivo experiments that made use of a pig's liver were conducted for comparison with the simulation using the model.
RESULTS: Results of the in vitro experiment showed that the model reproduces nonlinear and viscoelastic response of displacement at an internally located point with high accuracy. For a force up to 0.45 N, the maximum error is below 1 mm. Results of the in vivo experiment showed that the model reproduces the nonlinear increase of load upon the needle during insertion. DISCUSSION: Based on these results, the liver model developed and validated in this work reproduces the physical response of a liver in both in vitro and in vivo situations.

Entities:  

Mesh:

Year:  2008        PMID: 20033602     DOI: 10.1007/s11548-008-0259-9

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  10 in total

1.  Constitutive modelling of abdominal organs.

Authors:  K Miller
Journal:  J Biomech       Date:  2000-03       Impact factor: 2.712

2.  Mechanical properties of brain tissue in-vivo: experiment and computer simulation.

Authors:  K Miller; K Chinzei; G Orssengo; P Bednarz
Journal:  J Biomech       Date:  2000-11       Impact factor: 2.712

3.  Combined compression and elongation experiments and non-linear modelling of liver tissue for surgical simulation.

Authors:  C Chui; E Kobayashi; X Chen; T Hisada; I Sakuma
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

4.  Force modeling for needle insertion into soft tissue.

Authors:  Allison M Okamura; Christina Simone; Mark D O'Leary
Journal:  IEEE Trans Biomed Eng       Date:  2004-10       Impact factor: 4.538

5.  Modelling liver tissue properties using a non-linear visco-elastic model for surgery simulation.

Authors:  Jean-Marc Schwartz; Marc Denninger; Denis Rancourt; Christian Moisan; Denis Laurendeau
Journal:  Med Image Anal       Date:  2004-12-02       Impact factor: 8.545

6.  Interactive simulation of needle insertion models.

Authors:  Simon P DiMaio; Septimiu E Salcudean
Journal:  IEEE Trans Biomed Eng       Date:  2005-07       Impact factor: 4.538

7.  3D needle-tissue interaction simulation for prostate brachytherapy.

Authors:  Orcun Goksel; Septimiu E Salcudean; Simon P DiMaio; Robert Rohling; James Morris
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

8.  Developing an intraoperative methodology using the finite element method and the extended Kalman filter to identify the material parameters of an organ model.

Authors:  Takeharu Hoshi; Yo Kobayashi; Kazuya Kawamura; Masakatsu G Fujie
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

9.  Viscoelastic and nonlinear organ model for control of needle insertion manipulator.

Authors:  Yo Kobayashi; Akinori Onishi; Takeharu Hoshi; Kazuya Kawamura; Masakatsu G Fujie
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

Review 10.  Soft tissue modelling for applications in virtual surgery and surgical robotics.

Authors:  Nele Famaey; Jos Vander Sloten
Journal:  Comput Methods Biomech Biomed Engin       Date:  2008-08       Impact factor: 1.763

  10 in total
  2 in total

1.  A new fast nonlinear modeling of soft tissue for surgical simulation.

Authors:  Mobin Pourhosseini; Vahid Azimirad; Mostafa Kazemi
Journal:  J Robot Surg       Date:  2014-01-25

Review 2.  Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

Authors:  Chongjun Yang; Yu Xie; Shuang Liu; Dong Sun
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.