Literature DB >> 27690290

Non-Fourier based thermal-mechanical tissue damage prediction for thermal ablation.

Xin Li1, Yongmin Zhong1, Julian Smith2, Chengfan Gu1.   

Abstract

Prediction of tissue damage under thermal loads plays important role for thermal ablation planning. A new methodology is presented in this paper by combing non-Fourier bio-heat transfer, constitutive elastic mechanics as well as non-rigid motion of dynamics to predict and analyze thermal distribution, thermal-induced mechanical deformation and thermal-mechanical damage of soft tissues under thermal loads. Simulations and comparison analysis demonstrate that the proposed methodology based on the non-Fourier bio-heat transfer can account for the thermal-induced mechanical behaviors of soft tissues and predict tissue thermal damage more accurately than classical Fourier bio-heat transfer based model.

Keywords:  bio-heat transfer; non-Fourier; soft tissue; thermal damage; thermo-mechanical

Mesh:

Year:  2016        PMID: 27690290      PMCID: PMC5172510          DOI: 10.1080/21655979.2016.1227609

Source DB:  PubMed          Journal:  Bioengineered        ISSN: 2165-5979            Impact factor:   3.269


  9 in total

1.  The effect of Glisson's capsule on the superficial elasticity measurements of the liver.

Authors:  Esra Roan
Journal:  J Biomech Eng       Date:  2010-10       Impact factor: 2.097

2.  Tissue ablation with irreversible electroporation.

Authors:  R V Davalos; I L M Mir; B Rubinsky
Journal:  Ann Biomed Eng       Date:  2005-02       Impact factor: 3.934

3.  Analysis of tissue and arterial blood temperatures in the resting human forearm.

Authors:  H H PENNES
Journal:  J Appl Physiol       Date:  1948-08       Impact factor: 3.531

4.  Scale-dependent mechanical properties of native and decellularized liver tissue.

Authors:  Douglas W Evans; Emma C Moran; Pedro M Baptista; Shay Soker; Jessica L Sparks
Journal:  Biomech Model Mechanobiol       Date:  2012-08-14

5.  Effects of variation in perfusion rates and of perfusion models in computational models of radio frequency tumor ablation.

Authors:  David J Schutt; Dieter Haemmerich
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

Review 6.  Radiofrequency ablation technique in the treatment of liver tumours: review and future issues.

Authors:  B Zhang; M Moser; E Zhang; W J Zhang
Journal:  J Med Eng Technol       Date:  2013-02

7.  Thermal-mechanical deformation modelling of soft tissues for thermal ablation.

Authors:  Xin Li; Yongmin Zhong; Reza Jazar; Aleksandar Subic
Journal:  Biomed Mater Eng       Date:  2014       Impact factor: 1.300

8.  Prediction of tissue thermal damage.

Authors:  Xin Li; Yongmin Zhong; Aleksandar Subic; Reza Jazar; Julian Smith; Chengfan Gu
Journal:  Technol Health Care       Date:  2016-04-29       Impact factor: 1.285

9.  Assessment of hyperbolic heat transfer equation in theoretical modeling for radiofrequency heating techniques.

Authors:  Juan A López-Molina; Maria J Rivera; Macarena Trujillo; Fernando Burdío; Juan L Lequerica; Fernando Hornero; Enrique J Berjano
Journal:  Open Biomed Eng J       Date:  2008-04-10
  9 in total

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