Conductivity Tensor Imaging of In Vivo Human Brain and Experimental Validation Using Giant Vesicle Suspension

• Published in: IEEE transactions on medical imaging Vol. 38; no. 7; pp. 1569 - 1577
• Main Authors: Katoch, Nitish, Choi, Bup Kyung, Sajib, Saurav Z. K., Lee, EunAh, Kim, Hyung Joong, Kwon, Oh In, Woo, Eung Je
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Anisotropy; Brain; Brain - diagnostic imaging; Brain mapping; Cerebrospinal fluid; Conductivity tensor imaging (CTI); Conductors; Dependence; diffusion weighted imaging; Electric Conductivity; Electrical conductivity; Electrical resistivity; Electrical stimuli; Female; Humans; Image Processing, Computer-Assisted - methods; Image reconstruction; In vivo methods and tests; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Mapping; Mathematical analysis; Medical imaging; Moisture content; Neuroimaging; Neurology; Phantoms, Imaging; Pixels; Spatial discrimination; Spatial resolution; Specific volume; Substantia alba; Substantia grisea; Suspensions - chemistry; Tensors; Water content; Young Adult
• DOI: 10.1109/TMI.2018.2884440
• ISSN: 0278-0062

Human brain mapping of low-frequency electrical conductivity tensors can realize patient-specific volume conductor models for neuroimaging and electrical stimulation. We report experimental validation and in vivo human experiments of a new electrodeless conductivity tensor imaging (CTI) method. From CTI imaging of a giant vesicle suspension using a 9.4-T MRI scanner, the relative error in the reconstructed conductivity tensor image was found to be less than 1.7% compared with the measured value using an impedance analyzer. In vivo human brain imaging experiments of five subjects were followed using a 3-T clinical MRI scanner. With the spatial resolution of 1.87 mm, the white matter conductivity showed considerably more position dependency compared with the gray matter and cerebrospinal fluid (CSF). The anisotropy ratio of the white matter was in the range of 1.96-3.25 with a mean value of 2.43, whereas that of the gray matter was in the range of 1.12-1.19 with a mean value of 1.16. The three diagonal components of the reconstructed conductivity tensors were from 0.08 to 0.27 S/m for the white matter, from 0.20 to 0.30 S/m for the gray matter, and from 1.55 to 1.82 S/m for the CSF. The reconstructed conductivity tensor images exhibited significant inter-subject variabilities in terms of frequency and position dependencies. The high-frequency and low-frequency conductivity values can quantify the total and extracellular water contents, respectively, at every pixel. Their difference can quantify the intracellular water content at every pixel. The CTI method can separately quantify the contributions of ion concentrations and mobility to the conductivity tensor.