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キーワード:
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要旨:
An end-to-end differentiable Bloch simulation is employed to reduce T2 induced blurring in single-shot RARE sequences, by using a joint optimization of refocusing flip angles and a convolutional neural network. The instantaneous transverse magnetization, available in our simulation, at a certain echo time, serves as ideal blurring-free target. The optimized RARE was able to successfully lower T2-induced blurring for single-shot RARE sequences in PDw and T2w images. In addition to an increased sharpness, the neural network allowed correction of the contrast changes to match the theoretical transversal magnetization.
