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

Hongchen Wang¹, Jean-Sbastien Raynaud², Ludovic De Rochefort³

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.