Keywords: Quantitative Imaging, Electromagnetic Tissue Properties, Biomarkers
Motivation: Conventional two sequences acquisition in conductivity tensor imaging (CTI) can cause geometric mismatch between two acquisition data which may influence subsequent reconstruction.
Goal(s): We aim to simultaneously reconstruct the high-frequency conductivity and to fit microstructure parameters with data from single sequence.
Approach: We propose a novel data acquisition strategy which reconstructs the high-frequency conductivity from the phase of non-diffusion weighted data of RESOLVE.
Results: The reconstructed high-frequency conductivity and fitted microstructure parameters has matched geometric images, and the low-frequency conductivity can be successfully reconstructed.
Impact: We show the conventional two sequence acquisition is reduced to the single sequence acquisition which avoids the geometric mismatch and obtains higher precision of low-frequency conductivity.
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