Literature DB >> 14619992

Finite-element modeling of needle electrodes in tissue from the perspective of frequent model computation.

Davorka Sel1, Serge Mazeres, Justin Teissie, Damijan Miklavcic.   

Abstract

Information about electric field distribution in tissue is very important for effective electropermeabilization. In heterogeneous tissues with complex geometry, finite-element (FE) models provide one of alternative sources of such information. In the present study, modeling of needle electrode geometry in the FE model was investigated in order to determine the most appropriate geometry by considering the need for frequent FE model computation present in electroporation models. The 8-faceted needle electrode geometry proposed--determined on a model with a single needle electrode pair by means of criteria function--consisted of the weighted sum of relative difference between measured and computed total current, the relative difference in CPU time spent on solving model, and the relative difference in cross section surface of electrodes. Such electrode geometry was further evaluated on physical models with needle arrays by comparison of computed total current and measured current. The agreement between modeled and measured current was good (within 9% of measurement), except in cases with very thin gel. For voltage above 50 V, a linear relationship between current and voltage was observed in measurements. But at lower voltages, a nonlinear behavior was detected resulting from side (electrochemical) effects at electrode-gel interface. This effect was incorporated in the model by introducing a 50-V shift which reduced the difference between the model and the measurement to less than 3%. As long as material properties and geometry are well described by FE model, current-based validation can be used for a rough model validation. That is a routine assay compared with imaging of electric field, which is otherwise employed for model validation. Additionally, current estimated by model, can be preset as maximum in electroporator in order to protect tissue against damage.

Entities:  

Mesh:

Year:  2003        PMID: 14619992     DOI: 10.1109/TBME.2003.818466

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  9 in total

1.  Numerical calculations of single-cell electroporation with an electrolyte-filled capillary.

Authors:  Imants Zudans; Aparna Agarwal; Owe Orwar; Stephen G Weber
Journal:  Biophys J       Date:  2007-03-09       Impact factor: 4.033

Review 2.  Nucleic acids electrotransfer-based gene therapy (electrogenetherapy): past, current, and future.

Authors:  L M Mir
Journal:  Mol Biotechnol       Date:  2009-06-27       Impact factor: 2.695

3.  Electroporation-mediated gene delivery.

Authors:  Jennifer L Young; David A Dean
Journal:  Adv Genet       Date:  2014-12-11       Impact factor: 1.944

4.  Electric field-mediated transport of plasmid DNA in tumor interstitium in vivo.

Authors:  Joshua W Henshaw; David A Zaharoff; Brian J Mossop; Fan Yuan
Journal:  Bioelectrochemistry       Date:  2007-08-01       Impact factor: 5.373

5.  Analytical and numerical solutions of the potential and electric field generated by different electrode arrays in a tumor tissue under electrotherapy.

Authors:  Ana E Bergues Pupo; Juan Bory Reyes; Luis E Bergues Cabrales; Jesús M Bergues Cabrales
Journal:  Biomed Eng Online       Date:  2011-09-24       Impact factor: 2.819

6.  Numerical characterization of intraoperative and chronic electrodes in deep brain stimulation.

Authors:  Alessandra Paffi; Francesca Camera; Francesca Apollonio; Guglielmo d'Inzeo; Micaela Liberti
Journal:  Front Comput Neurosci       Date:  2015-02-19       Impact factor: 2.380

7.  The optimization of needle electrode number and placement for irreversible electroporation of hepatocellular carcinoma.

Authors:  Oyinlolu O Adeyanju; Haitham M Al-Angari; Alan V Sahakian
Journal:  Radiol Oncol       Date:  2012-04-19       Impact factor: 2.991

8.  Educational application for visualization and analysis of electric field strength in multiple electrode electroporation.

Authors:  Samo Mahnič-Kalamiza; Tadej Kotnik; Damijan Miklavčič
Journal:  BMC Med Educ       Date:  2012-10-30       Impact factor: 2.463

9.  Analytical and numerical quantification and comparison of the local electric field in the tissue for different electrode configurations.

Authors:  Selma Corović; Mojca Pavlin; Damijan Miklavcic
Journal:  Biomed Eng Online       Date:  2007-10-15       Impact factor: 2.819

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.