ArticleBiomedical engineering online2020
Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities.
Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 15 citations in OpenAlex.
- Cell flocculation and phase-separation support macro-scale tissue slab construction in a scaffold-free manner.Materials today. Bio · 2026Article
- Exploring the relationship between larmor-frequency electrical conductivity, diffusivity, and tissue volume in the aging brain.Quantitative imaging in medicine and surgery · 2025Article
- High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brain.Scientific reports · 2023Article
- Measurement of extracellular volume fraction using magnetic resonance-based conductivity tensor imaging.Frontiers in physiology · 2023Article
- Estimation of brain tissue response by electrical stimulation in a subject-specific model implemented by conductivity tensor imaging.Frontiers in neuroscience · 2023Article
- SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI.Tomography (Ann Arbor, Mich.) · 2022Article
- Comparison of Five Conductivity Tensor Models and Image Reconstruction Methods Using MRI.Molecules (Basel, Switzerland) · 2021Article
- Electrical Conductivity of a Stretching Viscoelastic Filament.Materials (Basel, Switzerland) · 2021Article
- Conductivity Tensor Imaging of the Human Brain Using Water Mapping Techniques.Frontiers in neuroscience · 2021Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundElectrical 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.
methodsWe 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.
resultsThe 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.
conclusionsThe 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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