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

Nitish Katoch, Clémentine Lesbats, Atul Singh Minhas, Hyung Joong Kim, Eung Je Woo, Harish Poptani*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of International Society for Magnetic Resonance in Medicine 28 (2020)
Place of PublicationConcord, CA
PublisherInternational Society for Magnetic Resonance in Medicine
Number of pages2
Publication statusPublished - 2020
Event2020 ISMRM & SMRT Virtual Conference and Exhibition - Virtual
Duration: 8 Aug 202014 Aug 2020

Conference

Conference2020 ISMRM & SMRT Virtual Conference and Exhibition
Period8/08/2014/08/20

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