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Abstract #3469

Near bias-free robust MP2RAGE reconstruction using a signal-dependent regularization function

Yi-Cheng Hsu1, He Wang2,3, and Ying-Hua Chu1
1MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China

MP2RAGE is a B1-insensitive T1-weighted imaging and T1 mapping method with strong background noise. Introducing a regularization parameter into the reconstruction can suppress the noise at the cost of lowering the signal intensity and T1 value. We propose a robust MP2RAGE using a signal-dependent regularization function. The reconstructed images are nearly bias-free with minimal artifact and reduced background noise.

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