In particular, CTI maps are calculated by combining high-frequency conductivity derived from water maps and multi b-value diffusion tensor imaging (DTI) data. This relies on the strong assumption for which electrical conductivity is univocally pre-determined by water concentration. In order to improve on these aspects, a methodology independent from the MR-EPT method is proposed. This results in CTI maps with a low signal-to-noise ratio (SNR), artifacts at tissue boundaries and a limited spatial resolution. Conventional CTI mapping methods process the trans-receiver phase of the MRI signal using the MR electric properties tomography (MR-EPT) technique, which in turn involves the application of the Laplace operator. 3Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, SpainĬonductivity tensor imaging (CTI) has been recently proposed to map the conductivity tensor in 3D using magnetic resonance imaging (MRI) at the frequency range of the brain at rest, i.e., low-frequencies.2IRCCS San Camillo Hospital, Venice, Italy.1Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.Marco Marino 1,2*, Lucilio Cordero-Grande 3, Dante Mantini 1,2† and Giulio Ferrazzi 2†
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