Brain and Human Body Modeling 2019
DOI: 10.1007/978-3-030-21293-3_20
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Water-Content Electrical Property Tomography (wEPT) for Mapping Brain Tissue Conductivity in the 200–1000 kHz Range: Results of an Animal Study

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Cited by 8 publications
(6 citation statements)
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References 43 publications
(52 reference statements)
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“…One possible approach that might help to improve the accuracy of the results consists in using a technique named water-content based electrical properties tomography (wEPT), as discussed by Wenger et al ( 2019 ). The basis of this technique is that tissue electric conductivity is highly correlated with its water content and by estimating the latter it is possible to predict the former.…”
Section: Discussionmentioning
confidence: 99%
“…One possible approach that might help to improve the accuracy of the results consists in using a technique named water-content based electrical properties tomography (wEPT), as discussed by Wenger et al ( 2019 ). The basis of this technique is that tissue electric conductivity is highly correlated with its water content and by estimating the latter it is possible to predict the former.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to MRI based techniques, water‐content electrical property tomography has also been used for mapping brain tissue conductivities in the intermediate frequency range 200–1000 kHz. [ 156 ] GM and WM surface meshes (most typically using anisotropic conductivity tensors [ 157 ] ) are created in software's like the SimNibs pipeline while other tissue meshes can be modelled using the Brainsuite package. Mimics are an additional software package used to create virtual tumors and to correct bumps or holes in the total mesh.…”
Section: Tumour‐treating Fieldsmentioning
confidence: 99%
“…In order to properly perform numerical simulations of TTFields delivery, it is necessary to create accurate computational models that are patient-specific [11,12,[24][25][26]. This involves creating a 3D volume representing the patient, in which dielectric properties (primarily conductivity) are assigned to each voxel.…”
Section: Patient-specific Model Creationmentioning
confidence: 99%