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

Keywords

accelerate accelerated accumulation accumulations accurate additionally adequate amplitude animal applications applied approaches around assuming automatic automatically background brain calculation choice choose choosing chosen clinical close coarse comparing concentration consisting convergence converted coronal deposition determining deviations diameters directly disease displaying distribution distributions division domain done drawn efficient efficiently estimation evaluate evaluated evaluating excluding expected experimental field filter filtering find fine fitted focal frequency function general gradient gradients harmonic homogeneity in vivo indicates inhomogeneity initial injected integral intensity internal interval introduce involves involving iron iteration iterations iterative jean limited long magic magnitude mapping maps matrix minimizing model molar molecular mouse needed newton noise norm normalized optimal optimization optimized oxide particles posed potentially power prior priors problem procedure produced proposed quantify quantitative rapid reconstruct reconstructed reconstruction reduced regularization regularized residual resolution search selected shortening simulated slice slope solutions solve solved source sources space spatial studies susceptibilities susceptibility traditional tuning ultra unit univ unwrapping validation variations version