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Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities

BACKGROUND: Electrical conductivity of a biological tissue at low frequencies can be approximately expressed as a tensor. Noting that cross-sectional imaging of a low-frequency conductivity tensor distribution inside the human body has wide clinical applications of many bioelectromagnetic phenomena,...

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Autores principales: Choi, Bup Kyung, Katoch, Nitish, Kim, Hyung Joong, Park, Ji Ae, Ko, In Ok, Kwon, Oh In, Woo, Eung Je
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247266/
https://www.ncbi.nlm.nih.gov/pubmed/32448134
http://dx.doi.org/10.1186/s12938-020-00780-5
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author Choi, Bup Kyung
Katoch, Nitish
Kim, Hyung Joong
Park, Ji Ae
Ko, In Ok
Kwon, Oh In
Woo, Eung Je
author_facet Choi, Bup Kyung
Katoch, Nitish
Kim, Hyung Joong
Park, Ji Ae
Ko, In Ok
Kwon, Oh In
Woo, Eung Je
author_sort Choi, Bup Kyung
collection PubMed
description BACKGROUND: Electrical conductivity of a biological tissue at low frequencies can be approximately expressed as a tensor. Noting that cross-sectional imaging of a low-frequency conductivity tensor distribution inside the human body has wide clinical applications of many bioelectromagnetic phenomena, a new conductivity tensor imaging (CTI) technique has been lately developed using an MRI scanner. Since the technique is based on a few assumptions between mobility and diffusivity of ions and water molecules, experimental validations are needed before applying it to clinical studies. METHODS: We designed two conductivity phantoms each with three compartments. The compartments were filled with electrolytes and/or giant vesicle suspensions. The giant vesicles were cell-like materials with thin insulating membranes. We controlled viscosity of the electrolytes and the giant vesicle suspensions to change ion mobility and therefore conductivity values. The conductivity values of the electrolytes and giant vesicle suspensions were measured using an impedance analyzer before CTI experiments. A 9.4-T research MRI scanner was used to reconstruct conductivity tensor images of the phantoms. RESULTS: The CTI technique successfully reconstructed conductivity tensor images of the phantoms with a voxel size of [Formula: see text] . The relative [Formula: see text] errors between the conductivity values measured by the impedance analyzer and those reconstructed by the MRI scanner was between 1.1 and 11.5. CONCLUSIONS: The accuracy of the new CTI technique was estimated to be high enough for most clinical applications. Future studies of animal models and human subjects should be pursued to show the clinical efficacy of the CTI technique.
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spelling pubmed-72472662020-06-01 Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities Choi, Bup Kyung Katoch, Nitish Kim, Hyung Joong Park, Ji Ae Ko, In Ok Kwon, Oh In Woo, Eung Je Biomed Eng Online Research BACKGROUND: Electrical conductivity of a biological tissue at low frequencies can be approximately expressed as a tensor. Noting that cross-sectional imaging of a low-frequency conductivity tensor distribution inside the human body has wide clinical applications of many bioelectromagnetic phenomena, a new conductivity tensor imaging (CTI) technique has been lately developed using an MRI scanner. Since the technique is based on a few assumptions between mobility and diffusivity of ions and water molecules, experimental validations are needed before applying it to clinical studies. METHODS: We designed two conductivity phantoms each with three compartments. The compartments were filled with electrolytes and/or giant vesicle suspensions. The giant vesicles were cell-like materials with thin insulating membranes. We controlled viscosity of the electrolytes and the giant vesicle suspensions to change ion mobility and therefore conductivity values. The conductivity values of the electrolytes and giant vesicle suspensions were measured using an impedance analyzer before CTI experiments. A 9.4-T research MRI scanner was used to reconstruct conductivity tensor images of the phantoms. RESULTS: The CTI technique successfully reconstructed conductivity tensor images of the phantoms with a voxel size of [Formula: see text] . The relative [Formula: see text] errors between the conductivity values measured by the impedance analyzer and those reconstructed by the MRI scanner was between 1.1 and 11.5. CONCLUSIONS: The accuracy of the new CTI technique was estimated to be high enough for most clinical applications. Future studies of animal models and human subjects should be pursued to show the clinical efficacy of the CTI technique. BioMed Central 2020-05-24 /pmc/articles/PMC7247266/ /pubmed/32448134 http://dx.doi.org/10.1186/s12938-020-00780-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Choi, Bup Kyung
Katoch, Nitish
Kim, Hyung Joong
Park, Ji Ae
Ko, In Ok
Kwon, Oh In
Woo, Eung Je
Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title_full Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title_fullStr Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title_full_unstemmed Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title_short Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
title_sort validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247266/
https://www.ncbi.nlm.nih.gov/pubmed/32448134
http://dx.doi.org/10.1186/s12938-020-00780-5
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