@article{RN248,
   author = {Davalos, R. V. and Otten, D. M. and Mir, L. M. and Rubinsky, B.},
   title = {Electrical impedance tomography for imaging tissue electroporation},
   journal = {IEEE Trans Biomed Eng},
   volume = {51},
   number = {5},
   pages = {761-7},
   note = {Davalos, Rafael V
Otten, David M
Mir, Lluis M
Rubinsky, Boris
1 R21 RR15252-01/RR/NCRR NIH HHS/United States
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Validation Study
United States
2004/05/11
IEEE Trans Biomed Eng. 2004 May;51(5):761-7. doi: 10.1109/TBME.2004.824148.},
   abstract = {Electroporation is a method to introduce molecules, such as gene constructs or small drugs, into cells by temporarily permeating the cell membrane with electric pulses. In molecular medicine and biotechnology, tissue electroporation is performed with electrodes placed in the target area of the body. Currently, tissue electroporation, as with all other methods of molecular medicine, is performed without real-time control or near-term information regarding the extent and degree of electroporation. This paper expands the work from our previous study by implementing new ex vivo experimental data with "front-tracking" analysis for the image reconstruction algorithm. The experimental data is incorporated into numerical simulations of electroporation procedures and images are generated using the new reconstruction algorithm to demonstrate that electrical impedance tomography (EIT) can produce an image of the electroporated area. Combining EIT with electroporation could become an important biotechnological and medical technique to introduce therapeutic molecules into cells in tissue at predetermined areas of the body.},
   keywords = {*Algorithms
Animals
Cell Membrane Permeability/*physiology
Connective Tissue/metabolism/ultrastructure
Culture Techniques
Diagnosis, Computer-Assisted/methods
*Electric Impedance
Image Enhancement/*methods
Image Interpretation, Computer-Assisted/*methods
Liver/*cytology/*physiology
Male
Rats
Tomography/instrumentation/*methods},
   ISSN = {0018-9294 (Print)
0018-9294},
   DOI = {10.1109/tbme.2004.824148},
   year = {2004},
   type = {Journal Article}
}

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Validation Study United States 2004/05/11 IEEE Trans Biomed Eng. 2004 May;51(5):761-7. doi: 10.1109/TBME.2004.824148.","abstract":"Electroporation is a method to introduce molecules, such as gene constructs or small drugs, into cells by temporarily permeating the cell membrane with electric pulses. In molecular medicine and biotechnology, tissue electroporation is performed with electrodes placed in the target area of the body. Currently, tissue electroporation, as with all other methods of molecular medicine, is performed without real-time control or near-term information regarding the extent and degree of electroporation. This paper expands the work from our previous study by implementing new ex vivo experimental data with \"front-tracking\" analysis for the image reconstruction algorithm. The experimental data is incorporated into numerical simulations of electroporation procedures and images are generated using the new reconstruction algorithm to demonstrate that electrical impedance tomography (EIT) can produce an image of the electroporated area. Combining EIT with electroporation could become an important biotechnological and medical technique to introduce therapeutic molecules into cells in tissue at predetermined areas of the body.","keywords":"*Algorithms Animals Cell Membrane Permeability/*physiology Connective Tissue/metabolism/ultrastructure Culture Techniques Diagnosis, Computer-Assisted/methods *Electric Impedance Image Enhancement/*methods Image Interpretation, Computer-Assisted/*methods Liver/*cytology/*physiology Male Rats Tomography/instrumentation/*methods","issn":"0018-9294 (Print) 0018-9294","doi":"10.1109/tbme.2004.824148","year":"2004","bibtex":"@article{RN248,\n author = {Davalos, R. V. and Otten, D. M. and Mir, L. M. and Rubinsky, B.},\n title = {Electrical impedance tomography for imaging tissue electroporation},\n journal = {IEEE Trans Biomed Eng},\n volume = {51},\n number = {5},\n pages = {761-7},\n note = {Davalos, Rafael V\nOtten, David M\nMir, Lluis M\nRubinsky, Boris\n1 R21 RR15252-01/RR/NCRR NIH HHS/United States\nEvaluation Study\nJournal Article\nResearch Support, Non-U.S. Gov't\nResearch Support, U.S. Gov't, P.H.S.\nValidation Study\nUnited States\n2004/05/11\nIEEE Trans Biomed Eng. 2004 May;51(5):761-7. doi: 10.1109/TBME.2004.824148.},\n abstract = {Electroporation is a method to introduce molecules, such as gene constructs or small drugs, into cells by temporarily permeating the cell membrane with electric pulses. In molecular medicine and biotechnology, tissue electroporation is performed with electrodes placed in the target area of the body. Currently, tissue electroporation, as with all other methods of molecular medicine, is performed without real-time control or near-term information regarding the extent and degree of electroporation. This paper expands the work from our previous study by implementing new ex vivo experimental data with \"front-tracking\" analysis for the image reconstruction algorithm. The experimental data is incorporated into numerical simulations of electroporation procedures and images are generated using the new reconstruction algorithm to demonstrate that electrical impedance tomography (EIT) can produce an image of the electroporated area. Combining EIT with electroporation could become an important biotechnological and medical technique to introduce therapeutic molecules into cells in tissue at predetermined areas of the body.},\n keywords = {*Algorithms\nAnimals\nCell Membrane Permeability/*physiology\nConnective Tissue/metabolism/ultrastructure\nCulture Techniques\nDiagnosis, Computer-Assisted/methods\n*Electric Impedance\nImage Enhancement/*methods\nImage Interpretation, Computer-Assisted/*methods\nLiver/*cytology/*physiology\nMale\nRats\nTomography/instrumentation/*methods},\n ISSN = {0018-9294 (Print)\n0018-9294},\n DOI = {10.1109/tbme.2004.824148},\n year = {2004},\n type = {Journal Article}\n}\n\n","author_short":["Davalos, R. V.","Otten, D. M.","Mir, L. 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