Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex

Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex

Image registration is typically formulated as an optimization problem with multiple tunable, manually set parameters. We present a principled framework for learning thousands of parameters of registration cost functions, such as a spatially-varying tradeoff between the image dissimilarity and regula...

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Bibliographic Details
Main Authors: Yeo, Boon Thye Thomas, Sabuncu, Mert R., Vercauteren, Tom, Holt, Daphne J., Amunts, Katrin, Zilles, Karl, Golland, Polina, Fischl, Bruce
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/61715
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/61715
https://orcid.org/0000-0002-5002-1227
https://orcid.org/0000-0003-2516-731X

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