Literature DB >> 32365014

Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study.

Ilias I Giannakopoulos, Jose E C Serralles, Luca Daniel, Daniel K Sodickson, Athanasios G Polimeridis, Jacob K White, Riccardo Lattanzi.   

Abstract

OBJECTIVE: Global Maxwell Tomography (GMT) is a recently introduced volumetric technique for noninvasive estimation of electrical properties (EP) from magnetic resonance measurements. Previous work evaluated GMT using ideal radiofrequency (RF) excitations. The aim of this simulation study was to assess GMT performance with a realistic RF coil.
METHODS: We designed a transmit-receive RF coil with 8 decoupled channels for 7T head imaging. We calculated the RF transmit field ( B1+) inside heterogeneous head models for different RF shimming approaches, and used them as input for GMT to reconstruct EP for all voxels.
RESULTS: Coil tuning/decoupling remained relatively stable when the coil was loaded with different head models. Mean error in EP estimation changed from [Formula: see text] to [Formula: see text] and from [Formula: see text] to [Formula: see text] for relative permittivity and conductivity, respectively, when changing head model without re-tuning the coil. Results slightly improved when an SVD-based RF shimming algorithm was applied, in place of excitation with one coil at a time. Despite errors in EP, RF transmit field ( B1+) and absorbed power could be predicted with less than [Formula: see text] error over the entire head. GMT could accurately detect a numerically inserted tumor.
CONCLUSION: This work demonstrates that GMT can reliably reconstruct EP in realistic simulated scenarios using a tailored 8-channel RF coil design at 7T. Future work will focus on construction of the coil and optimization of GMT's robustness to noise, to enable in-vivo GMT experiments. SIGNIFICANCE: GMT could provide accurate estimations of tissue EP, which could be used as biomarkers and could enable patient-specific estimation of RF power deposition, which is an unsolved problem for ultra-high-field magnetic resonance imaging.

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Year:  2020        PMID: 32365014      PMCID: PMC7606812          DOI: 10.1109/TBME.2020.2991399

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  31 in total

1.  A new approach for electrical properties estimation using a global integral equation and improvements using high permittivity materials.

Authors:  Rita Schmidt; Andrew Webb
Journal:  J Magn Reson       Date:  2015-12-01       Impact factor: 2.229

2.  Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods.

Authors:  Jorge Fernandez Villena; Athanasios G Polimeridis; Yigitcan Eryaman; Elfar Adalsteinsson; Lawrence L Wald; Jacob K White; Luca Daniel
Journal:  IEEE Trans Biomed Eng       Date:  2016-01-22       Impact factor: 4.538

3.  Dielectric properties of human normal, malignant and cirrhotic liver tissue: in vivo and ex vivo measurements from 0.5 to 20 GHz using a precision open-ended coaxial probe.

Authors:  Ann P O'Rourke; Mariya Lazebnik; John M Bertram; Mark C Converse; Susan C Hagness; John G Webster; David M Mahvi
Journal:  Phys Med Biol       Date:  2007-07-18       Impact factor: 3.609

4.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

5.  Convection-reaction equation based magnetic resonance electrical properties tomography (cr-MREPT).

Authors:  Fatih S Hafalir; Omer F Oran; Necip Gurler; Yusuf Z Ider
Journal:  IEEE Trans Med Imaging       Date:  2014-03       Impact factor: 10.048

6.  Error analysis of helmholtz-based MR-electrical properties tomography.

Authors:  Stefano Mandija; Alessandro Sbrizzi; Ulrich Katscher; Peter R Luijten; Cornelis A T van den Berg
Journal:  Magn Reson Med       Date:  2017-11-16       Impact factor: 4.668

7.  Complex B1 mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T.

Authors:  Xiaotong Zhang; Pierre-Francois Van de Moortele; Sebastian Schmitter; Bin He
Journal:  Magn Reson Med       Date:  2012-06-12       Impact factor: 4.668

8.  Learning a variational network for reconstruction of accelerated MRI data.

Authors:  Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P Recht; Daniel K Sodickson; Thomas Pock; Florian Knoll
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

9.  Effects of Anatomical Differences on Electromagnetic Fields, SAR, and Temperature Change.

Authors:  Leeor Alon; Cem Murat Deniz; Giuseppe Carluccio; Ryan Brown; Daniel K Sodickson; Christopher M Collins
Journal:  Concepts Magn Reson Part B Magn Reson Eng       Date:  2015-12-15       Impact factor: 1.176

10.  From complex B(1) mapping to local SAR estimation for human brain MR imaging using multi-channel transceiver coil at 7T.

Authors:  Xiaotong Zhang; Sebastian Schmitter; Pierre-Francois Van de Moortele; Jiaen Liu; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2013-03-11       Impact factor: 10.048

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  1 in total

1.  Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications.

Authors:  Ilias I Giannakopoulos; Georgy D Guryev; José E C Serrallés; Ioannis P Georgakis; Luca Daniel; Jacob K White; Riccardo Lattanzi
Journal:  IEEE Trans Antennas Propag       Date:  2021-06-25       Impact factor: 4.388

  1 in total

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