Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

As medical imaging enters its information era and presents rapidly increasing needs for big data analytics, robust pooling and harmonization of imaging data across diverse cohorts with varying acquisition protocols have become critical. We describe a comprehensive effort that merges and harmonizes a...

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Bibliographic Details
Main Authors: Raymond Pomponio, Guray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Daniel H. Wolf, Raquel Gur, Ruben Gur, John Morris, Marilyn S. Albert, Hans J. Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Russell T. Shinohara, Haochang Shou, Christos Davatzikos
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:NeuroImage
Subjects:
MRI
Segmentation
FreeSurfer
MUSE
Brain
ROI
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919310419

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http://www.sciencedirect.com/science/article/pii/S1053811919310419

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