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Abstract #3439

MR Fingerprinting with B-tensor encoding scheme for simultaneous measure of relaxation and microstructure diffusion

Maryam Afzali1, Lars Mueller1, Ken Sakaie2, Siyuan Hu3, Yong Chen4, Mark Griswold4, Derek K Jones1, and Dan Ma3
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 3Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 4Radiology, Case Western Reserve University, Cleveland, OH, United States

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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