Literature DB >> 23361342

Modeling and analysis of coagulated liver tissue and its interaction with a scalpel blade.

Florence Leong1, Wei-Hsuan Huang, Chee-Kong Chui.   

Abstract

Radiofrequency-assisted methods have been used in hepatectomy--the resection process of removing liver tissue which encapsulates the tumor from the liver organ. A prototype was built to enable smooth surgical transition between radiofrequency ablation and liver resection. There is a lack of literature on mechanical properties of radiofrequency-ablated liver tissue and the tool-tissue interaction during cutting. This led to our study on coagulated tissue mechanical properties and modeling of its dynamic interaction with a scalpel blade. A novel mechanical model was proposed to mimic the mechanical behavior of radiofrequency-ablated liver tissue. The model is able to account for the viscoelastic behavior of the ablated tissue in both compression and relaxation tests. Experiments were performed to validate the proposed model. In addition, a knife blade-tissue interaction model is proposed to demonstrate the potential of integrating the proposed model for application in device design.

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Year:  2013        PMID: 23361342     DOI: 10.1007/s11517-013-1038-5

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  10 in total

1.  Measuring forces in liver cutting: new equipment and experimental results.

Authors:  Teeranoot Chanthasopeephan; Jaydev P Desai; Alan C W Lau
Journal:  Ann Biomed Eng       Date:  2003-12       Impact factor: 3.934

2.  Study of soft tissue cutting forces and cutting speeds.

Authors:  Teeranoot Chanthasopeephan; Jaydev P Desai; Alan C W Lau
Journal:  Stud Health Technol Inform       Date:  2004

3.  Multi-scale model for investigating the electrical properties and mechanical properties of liver tissue undergoing ablation.

Authors:  Wei-Hsuan Huang; Chee-Kong Chui; Etsuko Kobayashi; Swee-Hin Teoh; Stephen Chang
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-12-16       Impact factor: 2.924

4.  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

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.  Radio frequency assisted liver resection: the Habib's technique.

Authors:  Long R Jiao; Guissepe Navarra; Jean-Christopher Weber; Roman Havlic; Joanna P Nicholls; Nagy A Habib
Journal:  Adv Exp Med Biol       Date:  2006       Impact factor: 2.622

7.  Modeling soft-tissue deformation prior to cutting for surgical simulation: finite element analysis and study of cutting parameters.

Authors:  Teeranoot Chanthasopeephan; Jaydev P Desai; Alan C W Lau
Journal:  IEEE Trans Biomed Eng       Date:  2007-03       Impact factor: 4.538

8.  A non-linear mass-spring model for more realistic and efficient simulation of soft tissues surgery.

Authors:  Ehsan Basafa; Farzam Farahmand; Gholamreza Vossoughi
Journal:  Stud Health Technol Inform       Date:  2008

9.  Integrated ablation and division device for liver resection.

Authors:  Stephen Kin Yong Chang; Wah Wah Hlaing; Wei Hsuan Huang; Chee Kong Chui
Journal:  HPB (Oxford)       Date:  2010-12-03       Impact factor: 3.647

10.  Liver fibrosis: non-invasive assessment with MR elastography.

Authors:  Laurent Huwart; Frank Peeters; Ralph Sinkus; Laurence Annet; Najat Salameh; Leon C ter Beek; Yves Horsmans; Bernard E Van Beers
Journal:  NMR Biomed       Date:  2006-04       Impact factor: 4.044

  10 in total
  3 in total

1.  Surface deformation and reaction force estimation of liver tissue based on a novel nonlinear mass-spring-damper viscoelastic model.

Authors:  Árpád Takács; Imre J Rudas; Tamás Haidegger
Journal:  Med Biol Eng Comput       Date:  2015-12-30       Impact factor: 2.602

2.  Robust path planning for flexible needle insertion using Markov decision processes.

Authors:  Xiaoyu Tan; Pengqian Yu; Kah-Bin Lim; Chee-Kong Chui
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-11       Impact factor: 2.924

3.  Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning.

Authors:  Xiaoyu Tan; Yonggu Lee; Chin-Boon Chng; Kah-Bin Lim; Chee-Kong Chui
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-11-25       Impact factor: 2.924

  3 in total

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