Quantitative Synthetic MRI in Children: Normative Intracranial Tissue Segmentation Values during Development.

Aaron S McAllister James L Leach Hollie West Blaise V Jones Bin Zhang Suraj D Serai

Published in: AJNR. American journal of neuroradiology (2017)

A pediatric data base of normal intracranial tissue volumes using a single sequence and rapid software analysis has been compiled and correlates with previously published data. This provides a framework for clinical interpretation of quantitative synthetic MR images during development. Improved age-based segmentation algorithms in young children are needed.

Keyphrases

deep learning
convolutional neural network
electronic health record
contrast enhanced
big data
machine learning
high resolution
magnetic resonance imaging
artificial intelligence
young adults
data analysis
computed tomography
systematic review
diffusion weighted imaging