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Gradient‐based electrical properties tomography (g EPT ): A robust method for mapping electrical properties of biological tissues in vivo using magnetic resonance imaging
Author(s) -
Liu Jiaen,
Zhang Xiaotong,
Schmitter Sebastian,
Van de Moortele PierreFrancois,
He Bin
Publication year - 2015
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25434
Subject(s) - imaging phantom , robustness (evolution) , electromagnetic coil , nuclear magnetic resonance , noise (video) , physics , materials science , stripline , acoustics , computer science , tomography , biological system , biomedical engineering , optics , artificial intelligence , chemistry , engineering , biochemistry , quantum mechanics , biology , image (mathematics) , gene
Purpose To develop high‐resolution electrical properties tomography (EPT) methods and investigate a gradient‐based EPT (gEPT) approach that aims to reconstruct the electrical properties (EP), including conductivity and permittivity, of an imaged sample from experimentally measured B 1 maps with improved boundary reconstruction and robustness against measurement noise. Theory and Methods Using a multichannel transmit/receive stripline head coil with acquired B 1 maps for each coil element, and by assuming negligible B z component compared to transverse B 1 components, a theory describing the relationship between B 1 field, EP value, and their spatial gradient has been proposed. The final EP images were obtained through spatial integration over the reconstructed EP gradient. Numerical simulation, physical phantom, and in vivo human experiments at 7 T have been conducted to evaluate the performance of the proposed method. Results Reconstruction results were compared with target EP values in both simulations and phantom experiments. Human experimental results were compared with EP values in literature. Satisfactory agreement was observed with improved boundary reconstruction. Importantly, the proposed gEPT method proved to be more robust against noise when compared to previously described nongradient‐based EPT approaches. Conclusion The proposed gEPT approach holds promises to improve EP mapping quality by recovering the boundary information and enhancing robustness against noise. Magn Reson Med 74:634–646, 2015. © 2014 Wiley Periodicals, Inc.