Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration

Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration

Abstract Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol for point-based assessment of image registration with millimetric (mm) accuracy. In this data descriptor, we release...

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Bibliographic Details
Main Authors: Alaa Taha, Greydon Gilmore, Mohamad Abbass, Jason Kai, Tristan Kuehn, John Demarco, Geetika Gupta, Chris Zajner, Daniel Cao, Ryan Chevalier, Abrar Ahmed, Ali Hadi, Bradley G. Karat, Olivia W. Stanley, Patrick J. Park, Kayla M. Ferko, Dimuthu Hemachandra, Reid Vassallo, Magdalena Jach, Arun Thurairajah, Sandy Wong, Mauricio C. Tenorio, Feyi Ogunsanya, Ali R. Khan, Jonathan C. Lau
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02330-9

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