Diffusion weighted imaging has been used both as a radiological tool that provides a simple biomarker without quantitative qualities, and more recent efforts have endeavored to make it quantitative by fitting of biophysical models or representations. In this work, we explore the novel radiological contrasts that can be generated by introducing tensor-valued diffusion encoding. Unlike most model-based approaches, these contrasts can be produced by rapid acquisition schemes and they produce novel contrasts that may contribute new diagnostic and radiological biomarkers.
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