An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE)

Hester Breman*, Joost Mulders, Levin Fritz, Judith Peters, John Pyles, Judith Eck, Matteo Bastiani, Alard Roebroeck, John Ashburner, Rainer Goebel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Surprisingly, estimated voxel displacement maps (VDMs), based on image registration, seem to work just as well to correct geometrical distortion in functional MRI data (EPI) as VDMs based on actual information about the magnetic field. In this article, we compare our new image registration-based distortion correction method ‘COPE’ to an implementation of the pixelshift method. Our approach builds on existing image registration-based techniques using opposite phase encoding, extending these by local cost aggregation. Comparison of these methods with 3T and 7T spin-echo (SE) and gradient-echo (GE) data show that the image registration-based method is a good alternative to the fieldmap-based EPI distortion correction method.
Original languageEnglish
Title of host publicationBiomedical Image Registration
Subtitle of host publication9th International Workshop, WBIR 2020 Portorož, Slovenia, December 1–2, 2020 Proceedings
EditorsŽ. Špiclin, J. McClelland, J. Kybic, O. Goksel
Number of pages9
ISBN (Electronic)978-3-030-50120-4
ISBN (Print)978-3-030-50119-8
Publication statusPublished - 9 Jun 2020
Event9th International Workshop on Biomedical Image Registration - Online, Ljubljana, Slovenia
Duration: 1 Dec 20202 Dec 2020
Conference number: 9

Publication series

SeriesLecture Notes in Computer Science


Conference9th International Workshop on Biomedical Image Registration
Abbreviated titleWBIR 2020
Internet address

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