Assessment of Spatial-variant Noise Level in Real-time Dynamic MR Images - a Random Matrix Approach

Abstract

Accurate measurement of spatially variant noise in dynamic magnetic resonance (MR) images acquired using parallel imaging methods is problematic. We propose a new method based on the random matrix theory to accurately assess the noise level. The method is validated using numerical simulation and in-vivo dynamic cardiac MR images.