Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI

Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI

T1- and T2-weighted (T1w and T2w) images are essential for tissue classification and anatomical localization in Magnetic Resonance Imaging (MRI) analyses. However, these anatomical data can be challenging to acquire in non-sedated neonatal cohorts, which are prone to high amplitude movement and disp...

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Bibliographic Details
Main Authors: Sydney Kaplan, Anders Perrone, Dimitrios Alexopoulos, Jeanette K. Kenley, Deanna M. Barch, Claudia Buss, Jed T. Elison, Alice M. Graham, Jeffrey J. Neil, Thomas G. O'Connor, Jerod M. Rasmussen, Monica D. Rosenberg, Cynthia E. Rogers, Aristeidis Sotiras, Damien A. Fair, Christopher D. Smyser
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:NeuroImage
Subjects:
Structural MRI
Synthetic medical images
Deep learning
Multi-atlas fusion
Neuroimaging
Neonate
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922002208

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http://www.sciencedirect.com/science/article/pii/S1053811922002208

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