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Quantitative Synthetic MRI in Children: Normative Intracranial Tissue Segmentation Values during Development
A McAllister1, J Leach2, H West2
1From the Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio. Aaron.mcallister@nationwidechildrens.org.
AJNR. American Journal of Neuroradiology
|October 7, 2017
Summary
Synthetic MR imaging provides normative intracranial and brain tissue volumes for children. This new technique aids in automated segmentation and clinical interpretation of pediatric brain MRI scans.
Area of Science:
- Medical imaging
- Quantitative MRI
- Pediatric neuroimaging
Background:
- Synthetic MR imaging (SyMRI) offers a novel method for generating absolute R1, R2, and proton-density maps.
- These maps enable rapid, automated segmentation of intracranial tissue types.
- The study aimed to establish normative data for pediatric brain volumes using SyMRI.
Purpose of the Study:
- To create a normative database of intracranial and brain volumes in a pediatric population.
- To assess the utility of synthetic MR imaging for quantifying brain structures in children.
- To provide a framework for interpreting quantitative synthetic MR images during development.
Main Methods:
- Retrospective review of multiple-spin-echo saturation recovery sequences in pediatric brain MRI examinations.
- Exclusion of abnormal findings followed by quantitative analysis using synthetic MR imaging.
- Plotting of intracranial, brain parenchymal, gray matter (GM), white matter (WM), cerebrospinal fluid (CSF), and myelin volumes against age.
Main Results:
- Included 122 MRI examinations with normal findings in individuals aged 0.1 to 21.5 years.
- Normative data plots showed favorable comparison with previously published, more complex techniques.
- Quantitative values from synthetic MR imaging allowed differentiation from pathological conditions in select cases.
Conclusions:
- A pediatric database of normal intracranial tissue volumes using synthetic MR imaging has been established.
- The compiled data correlates with existing literature and provides a basis for clinical interpretation.
- Further development of age-based segmentation algorithms for young children is recommended.
