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A technique for single-channel MR brain tissue segmentation: application to a pediatric sample
J C Rajapakse1, J N Giedd, C DeCarli
1Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD 20892-1600, USA.
Magnetic Resonance Imaging
|January 1, 1996
Summary
This study introduces a new brain MRI segmentation method for analyzing gray matter, white matter, and cerebrospinal fluid (CSF) in children and adolescents. Findings reveal significant white matter growth and gray matter decrease from ages 4-18, with regional and lateralized differences.
Area of Science:
- Neuroimaging
- Medical Image Analysis
- Developmental Neuroscience
Background:
- Accurate segmentation of brain tissues in magnetic resonance imaging (MRI) is crucial for understanding brain development and disease.
- Existing methods may struggle with image artifacts like intensity inhomogeneities.
- Quantifying age- and sex-related changes in brain structure requires reliable segmentation techniques.
Purpose of the Study:
- To present a novel segmentation method for brain MRI scans.
- To validate the accuracy and reliability of the proposed segmentation technique.
- To investigate age- and sex-related volumetric changes in gray matter, white matter, and cerebrospinal fluid (CSF) in healthy children and adolescents.
Main Methods:
- Development of a segmentation method based on probabilistic modeling of intensity distributions and region growing.
- Incorporation of techniques to handle spatially dependent image intensity inhomogeneities.
- Validation using phantom studies, interrater/intrarater reliability assessments, and comparison with expert manual tracings.
Main Results:
- The segmentation method demonstrated high interrater and intrarater reliability and good validity.
- Analysis of 105 healthy children and adolescents (ages 4-18) revealed stable total brain volume.
- Significant increases in white matter and decreases in gray matter were observed with age, with no sex differences after volume correction. Regional and lateralized white matter growth patterns were identified.
Conclusions:
- The developed segmentation method is reliable and valid for analyzing brain tissues in single-channel MR scans.
- Brain development in children and adolescents is characterized by significant white matter expansion and gray matter reduction.
- The findings provide valuable insights into neurodevelopmental trajectories and validate the utility of the segmentation technique for such studies.