Propeller FSE-DWI has been a method of choice in particular for Cholesteatoma. However, its natures such as prolong scan time, low signal-to-noise ratio (SNR), and phase variations among the blades have been challenging. Parallel imaging technique can be applied to reduce scan time, but phase estimation/correction is often compromised due to g-factor noise penalty. In this work, we develop an iterative reconstruction with locally low rank (LLR) regularization to maximize quality of propeller FSE-DWI images. As a result, LLR enable improving SNR up to SENSE factor of 4 compared to images obtained by vendor’s provided reconstruction engine.
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