Fieldmap-Free Retrospective Registration and Distortion Correction for EPI-Based Functional Imaging

Authors:
Clare Poynton;Mark Jenkinson;Stephen Whalen;Alexandra J. Golby;William Wells, Iii
Affiliations:
Computer Science and Artificial Intelligence Lab, MIT, USA;Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK;Brigham and Women's Hospital, Harvard Medical School, USA;Brigham and Women's Hospital, Harvard Medical School, USA;Computer Science and Artificial Intelligence Lab, MIT, USA and Brigham and Women's Hospital, Harvard Medical School, USA
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

We describe a method for correcting the distortions present in echo planar images (EPI) and registering the EPI to structural MRI. A fieldmap is predicted from an air / tissue segmentation of the MRI using a perturbation method and subsequently used to unwarp the EPI data. Shim and other missing parameters are estimated by registration. We obtain results that are similar to those obtained using fieldmaps, however neither fieldmaps, nor knowledge of shim coefficients is required.