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Abstract #3184

Conductivity Tensor Imaging (CTI): a novel contrast mechanism based on ionic conductivity for characterization of brain tumors

Nitish Katoch1, Clémentine Lesbats2, Atul Singh Minhas3, Hyung Joong Kim1, Eung Je Woo1, and Harish Poptani2
1Department of Biomedical Engineering, Kyung Hee University, Seoul, Republic of Korea, 2Physiology, University of Liverpool, Liverpool, United Kingdom, 3School of Engineering, Macquarie University, Sydney, Australia

Unlike the previously reported method of diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT), conductivity tensor imaging (CTI) does not require external electrodes for current injection. The low frequency conductivity (σL) value can be estimated from the high frequency conductivity (σH) measured using B1 map. The σL is influenced by cell size and density, which makes it an effective technique to characterize the cellular changes in brain tumors. Rat brain tumors were studied using 9.4 T MRI scanner using CTI protocol. Changes in ionic concentration cellular states depending on tumor growth were reflected in both high and low-frequency CTI images.

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