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Abstract #0280

Joint estimation of coil sensitivities and image content using a deep image prior

Guanxiong Luo1, Xiaoqing Wang1, Volkert Roeloffs1, Zhengguo Tan1, and Martin Uecker1,2
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Germany, Göttingen, Germany, 2Campus Institute Data Science (CIDAS), University of Göttingen, Germany, Göttingen, Germany

Parallel imaging for reduction of scanning time is now routinely used in clinical practice. The spatial information from the coils’ profiles are exploited for encoding. The nonlinear inversion reconstruction is a calibrationless parallel imaging technique, which jointly estimate coil sensitivities and image content. In this work, we demonstrate how to combine such a calibrationless parallel imaging technique with an advanced neural network based image prior for efficient MR imaging.

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