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Abstract #3845

Quantitative Susceptibility Mapping Reconstruction with Spatial Prior: Shortening Reconstruction Time and Choosing Regularization Parameters Automatically

Hongchen Wang1, Jean-Sbastien Raynaud2, Ludovic De Rochefort3

1Univ. Paris Sud - CNRS, UMR 8081, IR4M, Orsay, France; 2Experimental Imaging, MRI unit, Research Division, Guerbet, Aulnay-sous-bois, France; 3Univ Paris-Sud, Orsay, France

Quantitative susceptibility mapping (QSM) provides a way to quantify bulk magnetic susceptibility distribution from field inhomogeneity images. It involves phase unwrapping, background filtering and source reconstruction. QSM reconstruction with spatial priors can be performed to solve this ill-posed problem. However, the iterative procedure is limited by a long calculation time, and multiple iterations are needed to choose adequate regularization parameters. Here we accelerate QSM using a rapid estimation in k-space and introduce a general and efficient parameter search method.