Validation of conductivity tensor imaging against diffusion tensor magnetic resonance electrical impedance tomography.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
03 Aug 2024
03 Aug 2024
Historique:
received:
07
12
2023
accepted:
24
07
2024
medline:
4
8
2024
pubmed:
4
8
2024
entrez:
3
8
2024
Statut:
epublish
Résumé
Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) and electrodeless conductivity tensor imaging (CTI) are two emerging modalities that can quantify low-frequency tissue anisotropic conductivity properties by assuming similar properties underlie ionic mobility and water diffusion. While both methods have potential applications to estimating neuro-modulation fields or formulating forward models used for electrical source imaging, a direct comparison of the two modalities has not yet been performed in-vitro or in-vivo. Therefore, the aim of this study was to test the equivalence of these two modalities. We scanned a tissue phantom and the head of human subject using DT-MREIT and CTI protocols and reconstructed conductivity tensor and effective low frequency conductivities. We found both gray and white matter conductivities recovered by each technique were equivalent within 0.05 S/m. Both DT-MREIT and CTI require multiple processing steps, and we further assess the effects of each factor on reconstructions and evaluate the extent to which different measurement mechanisms potentially cause discrepancies between the two methods. Finally, we discuss the implications for spectral models of measuring conductivity using these techniques. The study further establishes the credibility of CTI as an electrodeless non-invasive method of measuring low frequency conductivity properties.
Identifiants
pubmed: 39097661
doi: 10.1038/s41598-024-68551-z
pii: 10.1038/s41598-024-68551-z
doi:
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
17995Subventions
Organisme : NIH HHS
ID : 1RF1MH114290-01
Pays : United States
Informations de copyright
© 2024. The Author(s).
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