Gradient-based magnetic resonance electrical properties imaging of brain tissues

Jiaen Liu, Xiaotong Zhang, Sebastian Schmitter, Pierre Francois Van De Moortele, Bin He

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Electrical properties tomography (EPT) holds promise for noninvasively mapping at high spatial resolution the electrical conductivity and permittivity of biological tissues in vivo using a magnetic resonance imaging (MRI) scanner. In the present study, we have developed a novel gradient-based EPT approach with greatly improved tissue boundary reconstruction and largely elevated robustness against measurement noise compared to existing techniques. Using a 7 Tesla MRI system, we report, for the first time, high-quality in vivo human brain electrical property images with refined structural details, which can potentially merit clinical diagnosis (such as cancer detection) and high-field MRI applications (quantification of local specific absorption rate) in the future.

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