RESOLVE for simultaneous mapping high-frequency conductivity and micro-structure parameters in conductivity tensor imaging (CTI)

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.