title: Gaussian process modeling for image distortion correction in echo planar imaging.
abstract: An enhanced method for correction of image distortion due to B(0)-field inhomogeneities in echo planar imaging (EPI) is presented. The algorithm is based on the measurement of the point spread function (PSF) associated with each image voxel using a reference scan. The expected distortion map in the phase encode direction is then estimated using a nonparametric inference algorithm known as Gaussian process modeling. The algorithm is shown to be robust to the presence of regions of low signal-to-noise in the image and large inhomogeneities.
authors.affiliation: Cavendish Laboratory, Cambridge, UK.
authors.forename: Joseph W
authors.initials: JW
authors.lastname: Stevick
authors.forename: Sally G
authors.initials: SG
authors.lastname: Harding
authors.forename: Ulrich
authors.initials: U
authors.lastname: Paquet
authors.forename: Richard E
authors.initials: RE
authors.lastname: Ansorge
authors.forename: T Adrian
authors.initials: TA
authors.lastname: Carpenter
authors.forename: Guy B
authors.initials: GB
authors.lastname: Williams
mesh_terms: D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D017352:Echo-Planar Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted