Diffusion magnetic resonance imaging provides information about microstructural features of a sample. Relaxometry on the other hand is sensitive to the biochemical environment of the underlying microstructure. Recent studies show that using conventional Stejskal-Tanner experiment, separating compartmental features is challenging and therefore b-tensor encoding and diffusion-relaxometry were proposed to mitigate this challenge. Magnetic resonance fingerprinting (MRF) can quantify multiple tissue parameters in one scan. Here, we implement multi-dimensional MR Fingerprinting scan with linear and spherical tensor encoding (LTE, and STE) and show the feasibility of estimating $$$T_1,\;\rm{and}\;T_2$$$ relaxation times and diffusivity on NIST, microstructure phantom and in vivo brain scans.
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