Gaussian process modeling for image distortion correction in echo planar imaging.
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.
Stevick
Joseph W
JW
Cavendish Laboratory, Cambridge, UK.
Harding
Sally G
SG
Paquet
Ulrich
U
Ansorge
Richard E
RE
Carpenter
T Adrian
TA
Williams
Guy B
GB
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