Geometric distortions caused by magnetic susceptibility variations in the underlying medium can severely corrupt the image. A novel correction method is proposed, which uses the prior knowledge of the analytic point spread function (PSF) of the used imaging sequence and a map of the underlying field inhomogeneities. From this input, a PSF operator can be devised and applied to correct the image by performing a deconvolution. Regularization techniques are used to improve and stabilize the outcome. A significant reduction in geometric distortions is demonstrated for human brain images as well as some advantages over existing correction methods.
This abstract and the presentation materials are available to members only; a login is required.