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

^*Bijbehorende auteur voor dit werk

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Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

8 Citaten (Scopus)

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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.

Originele taal-2	Engels
Pagina's (van-tot)	122-130
Aantal pagina's	9
Tijdschrift	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI's	https://doi.org/10.1007/978-3-030-50120-4_12
Status	Gepubliceerd - 01 jan. 2020

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

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.",

keywords = "Image registration, Susceptibility distortion correction",

author = "Hester Breman and Joost Mulders and Levin Fritz and Judith Peters and John Pyles and Judith Eck and Matteo Bastiani and Alard Roebroeck and John Ashburner and Rainer Goebel",

year = "2020",

month = jan,

day = "1",

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

language = "English",

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journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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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), blz. 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, blz. 122-130.

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

TY - JOUR

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

PY - 2020/1/1

Y1 - 2020/1/1

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.

KW - Image registration

KW - Susceptibility distortion correction

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U2 - 10.1007/978-3-030-50120-4_12

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

M3 - Article

AN - SCOPUS:85087001566

SN - 0302-9743

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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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