Abstract #2185

Neural Network-Based Removal of Colored Noise in MR Fingerprinting

Jakob Meineke¹, Christian Wülker¹, Jean Tkach², Usha Nagaraj², Mariya Doneva¹, and Tim Nielsen¹

¹Philips Reseach, Hamburg, Germany, ²Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Synopsis

Keywords: MR Fingerprinting/Synthetic MR, MR FingerprintingA neural network for the estimation and removal of colored noise in non-Cartesian MRI is trained and subsequently applied for denoising coefficient images in MR Fingerprinting. It is shown that the neural network does not introduce bias in the quantitative parameter maps and improves their precision. Invivo T1- and T2-maps are demonstrated to be visually improved.

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