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

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020)
Place of Publication	Concord, CA
Publisher	International Society for Magnetic Resonance in Medicine
Number of pages	2
Publication status	Published - 2020
Event	2020 ISMRM & SMRT Virtual Conference and Exhibition - Virtual Duration: 8 Aug 2020 → 14 Aug 2020

Conference

Conference	2020 ISMRM & SMRT Virtual Conference and Exhibition
Period	8/08/20 → 14/08/20

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Katoch, Nitish ; Lesbats, Clémentine ; Minhas, Atul Singh ; Kim, Hyung Joong ; Woo, Eung Je ; Poptani, Harish. / Conductivity Tensor Imaging (CTI) : a novel contrast mechanism based on ionic conductivity for the characterization of brain tumors. Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020). Concord, CA : International Society for Magnetic Resonance in Medicine, 2020.

@inproceedings{07f99004291f4610a8f973cc639cb02e,

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

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.",

author = "Nitish Katoch and Cl{\'e}mentine Lesbats and Minhas, {Atul Singh} and Kim, {Hyung Joong} and Woo, {Eung Je} and Harish Poptani",

year = "2020",

language = "English",

booktitle = "Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020)",

publisher = "International Society for Magnetic Resonance in Medicine",

note = "2020 ISMRM & SMRT Virtual Conference and Exhibition ; Conference date: 08-08-2020 Through 14-08-2020",

}

Katoch, N, Lesbats, C, Minhas, AS, Kim, HJ, Woo, EJ & Poptani, H 2020, Conductivity Tensor Imaging (CTI): a novel contrast mechanism based on ionic conductivity for the characterization of brain tumors. in Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020)., 3184, International Society for Magnetic Resonance in Medicine, Concord, CA, 2020 ISMRM & SMRT Virtual Conference and Exhibition, 8/08/20.

Conductivity Tensor Imaging (CTI) : a novel contrast mechanism based on ionic conductivity for the characterization of brain tumors. / Katoch, Nitish; Lesbats, Clémentine; Minhas, Atul Singh; Kim, Hyung Joong; Woo, Eung Je; Poptani, Harish.

Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020). Concord, CA : International Society for Magnetic Resonance in Medicine, 2020. 3184.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Conductivity Tensor Imaging (CTI)

T2 - 2020 ISMRM & SMRT Virtual Conference and Exhibition

AU - Katoch, Nitish

AU - Lesbats, Clémentine

AU - Minhas, Atul Singh

AU - Kim, Hyung Joong

AU - Woo, Eung Je

AU - Poptani, Harish

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://www.ismrm.org/20/program_files/DP08-02.htm

M3 - Conference proceeding contribution

BT - Proceedings of International Society for Magnetic Resonance in Medicine 28 (2020)

PB - International Society for Magnetic Resonance in Medicine

CY - Concord, CA

Y2 - 8 August 2020 through 14 August 2020

ER -

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

Abstract

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