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Accelerated point spread function mapping using signal modeling for accurate echo‐planar imaging geometric distortion correction
Author(s) -
Dragonu Iulius,
Lange Thomas,
Baxan Nicoleta,
Snyder Jeff,
Hennig Juergen,
Zaitsev Maxim
Publication year - 2013
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24396
Subject(s) - planar , echo planar imaging , imaging phantom , distortion (music) , point spread function , robustness (evolution) , physics , computer science , echo (communications protocol) , amplitude , nuclear magnetic resonance , magnetic resonance imaging , optics , bandwidth (computing) , medicine , amplifier , computer network , biochemistry , chemistry , gene , radiology , computer graphics (images)
Echo‐planar imaging is a fast and commonly used magnetic resonance imaging technique with applications in diffusion weighted and functional MRI. Fast data acquisition in echo‐planar imaging is accomplished by the extended readout, which also introduces sensitivity to off‐resonance effects such as amplitude of static (polarizing) field inhomogeneities and eddy‐currents. These off‐resonance effects produce geometric distortions in the corresponding echo‐planar images. To correct for these distortions, an acceleration of point spread function (PSF) acquisition using a special sampling pattern is presented in this work. The proposed technique allows for reliable and fully automated distortion correction of echo‐planar images at a field strength of 3 T. Additionally, a new approach to visualize and determine the distortions in a hybrid ( x , y , k PSF ) three‐dimensional space is proposed. The accuracy and robustness of the proposed technique is demonstrated in phantom and in vivo experiments. The accuracy of the presented method here is compared to previous techniques for echo‐planar imaging distortion correction such as PLACE. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.