Brain Maturation Patterns on Normalized FLAIR MR Imaging in Children and Adolescents

Area of Science:

• Neuroimaging
• Pediatric Neuroscience
• Medical Physics

Background:

• Fluid-attenuated inversion recovery (FLAIR) signal analysis is crucial for studying neurodevelopment and brain maturation.
• FLAIR intensity variability across scanners necessitates signal normalization for reliable pediatric brain studies.

Purpose of the Study:

• To establish normative values for standardized FLAIR intensity in the pediatric brain.
• To develop and validate an automated algorithm for FLAIR signal normalization in pediatric neuroimaging.

Main Methods:

• An automated algorithm was employed to standardize FLAIR intensity across scanners and subjects.
• Mean intensity was quantified in gray matter (GM), white matter (WM), deep GM, and cortical GM regions.
• Regression analyses and ANOVA were used to assess age-related changes and inter-group differences in intensity.

Main Results:

• Analysis of 429 pediatric FLAIR scans (ages 2-19) revealed age-dependent intensity patterns.
• WM intensity showed a parabolic relationship with age, while GM and cortical GM intensity increased with age.
• Significant correlations between intensity and regional volume were observed in older age groups, with sex differences noted only in the oldest group.

Conclusions:

• A FLAIR intensity standardization algorithm was presented, enabling robust cross-scanner and cross-subject comparisons.
• Standardized FLAIR intensity can serve as a valuable surrogate measure for assessing pediatric brain development and maturation.