Self‐calibrated correlation imaging with k‐space variant correlation functions

Correlation imaging is a previously developed high‐speed MRI framework that converts parallel imaging reconstruction into the estimate of correlation functions. The presented work aims to demonstrate this framework can provide a speed gain over parallel imaging by estimating k‐space variant correlation functions.

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