Referenceless reduction of spin‐echo echo‐planar imaging distortion with generative displacement mapping Article Swipe
Chung‐Chin Kuo
,
Teng‐Yi Huang
,
Yi‐Ru Lin
,
Tzu‐Chao Chuang
,
Shang‐Yueh Tsai
,
Ming‐Long Wu
,
Hsiao‐Wen Chung
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30577
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30577
Purpose We aimed to develop a fully automatic, referenceless method for correcting distortions in echo‐planar imaging (EPI) data sets, specifically designed for applications in retrospective studies lacking reference field maps or reversed‐gradient scans. This work primarily targets data sets acquired with anterior–posterior or posterior–anterior phase‐encoding protocols. Methods Our approach used a generative adversarial network to generate a displacement map. The network model took a three‐dimensional raw b0 volume from a diffusion‐tensor data set as input and reproduced a displacement map, similar to that originally derived using a reversed‐gradient correction method. This generative displacement map was used to correct echo‐planar images across an entire diffusion data set. Results The performance of our method was evaluated across multiple institutions using large‐scale databases. We found that it effectively reduced geometric distortions in EPI data sets and improved the accuracy of diffusion indices. Moreover, it significantly enhanced the coregistration between EPI and high‐resolution T 1 ‐weighted images ( p < 0.01). Conclusions Our referenceless EPI distortion correction method has been publicly shared as a standalone application and offers a practical solution for enhancing the quality of EPI data sets in retrospective studies. It effectively reduces distortions and increases the accuracy of diffusion measures, making it a valuable tool for studies where EPI data contain no distortion calibration scan.
Related Topics
Concepts
Diffusion MRI
Computer science
Distortion (music)
Echo-planar imaging
Artificial intelligence
Displacement (psychology)
Data set
Algorithm
Computer vision
Pattern recognition (psychology)
Magnetic resonance imaging
Medicine
Bandwidth (computing)
Computer network
Radiology
Psychology
Psychotherapist
Amplifier
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/mrm.30577
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30577
- OA Status
- bronze
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410642237
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410642237Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/mrm.30577Digital Object Identifier
- Title
-
Referenceless reduction of spin‐echo echo‐planar imaging distortion with generative displacement mappingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-23Full publication date if available
- Authors
-
Chung‐Chin Kuo, Teng‐Yi Huang, Yi‐Ru Lin, Tzu‐Chao Chuang, Shang‐Yueh Tsai, Ming‐Long Wu, Hsiao‐Wen ChungList of authors in order
- Landing page
-
https://doi.org/10.1002/mrm.30577Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30577Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30577Direct OA link when available
- Concepts
-
Diffusion MRI, Computer science, Distortion (music), Echo-planar imaging, Artificial intelligence, Displacement (psychology), Data set, Algorithm, Computer vision, Pattern recognition (psychology), Magnetic resonance imaging, Medicine, Bandwidth (computing), Computer network, Radiology, Psychology, Psychotherapist, AmplifierTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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