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Editorial for the Special Issue on Harmonization Techniques for MRI
Lianrui Zuo1, Yihao Liu1, Aaron Carass2
1Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, 37235, TN, United States.
Neuroimage
|May 13, 2026
Summary
Neuroimaging harmonization is crucial for multi-site MRI studies to reduce variability. This special issue reviews methods like ComBat and deep learning, addressing challenges for reproducible discoveries.
Area of Science:
- Neuroimaging analysis
- Medical imaging informatics
- Data science in neuroscience
Background:
- Multi-site magnetic resonance imaging (MRI) studies aggregate data across diverse scanners, protocols, and institutions.
- Non-biological variability introduced by these differences can obscure true biological signals.
- Harmonization techniques are essential to mitigate this variability and ensure data integrity.
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Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

