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

doi:10.1007/978-3-030-50120-4_12

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

Netherlands Institute for Neuroscience (NIN)

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

10 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	122-130
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOIs	https://doi.org/10.1007/978-3-030-50120-4_12
Publication status	Published - 01 Jan 2020

Keywords

Image registration
Susceptibility distortion correction

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10.1007/978-3-030-50120-4_12

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Breman, H., Mulders, J., Fritz, L., Peters, J., Pyles, J., Eck, J., Bastiani, M., Roebroeck, A., Ashburner, J., & Goebel, R. (2020). An image registration-based method for epi distortion correction based on opposite phase encoding (COPE). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 122-130. https://doi.org/10.1007/978-3-030-50120-4_12

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abstract = "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 {\textquoteleft}COPE{\textquoteright} 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.",

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year = "2020",

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doi = "10.1007/978-3-030-50120-4_12",

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Breman, H, Mulders, J, Fritz, L, Peters, J, Pyles, J, Eck, J, Bastiani, M, Roebroeck, A, Ashburner, J & Goebel, R 2020, 'An image registration-based method for epi distortion correction based on opposite phase encoding (COPE)', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 122-130. https://doi.org/10.1007/978-3-030-50120-4_12

An image registration-based method for epi distortion correction based on opposite phase encoding (COPE). / Breman, Hester; Mulders, Joost; Fritz, Levin et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 01.01.2020, p. 122-130.

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

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T1 - An image registration-based method for epi distortion correction based on opposite phase encoding (COPE)

AU - Breman, Hester

AU - Mulders, Joost

AU - Fritz, Levin

AU - Peters, Judith

AU - Pyles, John

AU - Eck, Judith

AU - Bastiani, Matteo

AU - Roebroeck, Alard

AU - Ashburner, John

AU - Goebel, Rainer

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N2 - 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.

AB - 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.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

An image registration-based method for epi distortion correction based on opposite phase encoding (COPE)

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