UNSUPERVISED HARMONIZATION OF BRAIN MRI USING 3D CYCLE GANS AND ITS EFFECT ON BRAIN AGE PREDICTION Article Swipe
Dheeraj Komandur
,
Umang Gupta
,
Tamoghna Chattopadhyay
,
Nikhil J. Dhinagar
,
Sophia I. Thomopoulos
,
Jiu‐Chiuan Chen
,
Dan Beavers
,
Greg Ver Steeg
,
Paul M. Thompson
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.11.15.516349
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.11.15.516349
Deep learning methods trained on brain MRI data from one scanner or imaging protocol can fail catastrophically when tested on data from other sites or protocols - a problem known as domain shift . To address this, here we propose a domain adaptation method that trains a 3D CycleGAN (cycle-consistent generative adversarial network) to harmonize brain MRI data from 5 diverse sources (ADNI, WHIMS, OASIS, AIBL, and UK Biobank; total N=4,941 MRIs, age range: 46-96 years). The approach uses 2 generators and 2 discriminators to generate an image harmonized to a specific target dataset given an image from the source domain distribution and vice versa . We train the CycleGAN to jointly optimize an adversarial loss and cyclic consistency. We use a patch-based discriminator and impose identity loss to further regularize model training. To test the benefit of the harmonization, we show that brain age estimation - a common benchmarking task - is more accurate in GAN-harmonized versus raw data. t -SNE maps show the improved distributional overlap of the harmonized data in the latent space.
Related Topics
Concepts
Computer science
Discriminator
Artificial intelligence
Raw data
Consistency (knowledge bases)
Domain (mathematical analysis)
Deep learning
Benchmarking
Pattern recognition (psychology)
Harmonization
Range (aeronautics)
Machine learning
Data mining
Mathematics
Physics
Materials science
Composite material
Business
Telecommunications
Mathematical analysis
Marketing
Programming language
Acoustics
Detector
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.11.15.516349
- https://www.biorxiv.org/content/biorxiv/early/2022/11/15/2022.11.15.516349.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309258633
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309258633Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.11.15.516349Digital Object Identifier
- Title
-
UNSUPERVISED HARMONIZATION OF BRAIN MRI USING 3D CYCLE GANS AND ITS EFFECT ON BRAIN AGE PREDICTIONWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-15Full publication date if available
- Authors
-
Dheeraj Komandur, Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, Sophia I. Thomopoulos, Jiu‐Chiuan Chen, Dan Beavers, Greg Ver Steeg, Paul M. ThompsonList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.11.15.516349Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/11/15/2022.11.15.516349.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/11/15/2022.11.15.516349.full.pdfDirect OA link when available
- Concepts
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Computer science, Discriminator, Artificial intelligence, Raw data, Consistency (knowledge bases), Domain (mathematical analysis), Deep learning, Benchmarking, Pattern recognition (psychology), Harmonization, Range (aeronautics), Machine learning, Data mining, Mathematics, Physics, Materials science, Composite material, Business, Telecommunications, Mathematical analysis, Marketing, Programming language, Acoustics, DetectorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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20Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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