Diffusion encoding with either oscillating gradients or as a function of the "shape" of the b-tensor have both recently found powerful applications for characterization of tissue microstructure in clinical MRI. We here propose a simple scheme based on the "double rotation" technique in solid-state NMR spectroscopy to generate a family of gradient waveforms enabling comprehensive sampling of the multidimensional space defined by the tensor-valued encoding spectrum with special emphasis on the frequency and shape dimensions. The approach is demonstrated by microimaging experiments on phantoms with well-defined anisotropy and restriction properties, thereby paving the way for future clinical implementations.
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