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DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
Published on: August 26, 2014
Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks
Lei Feng1, Hang Li2, Kenichi Oishi3
1Department of Radiology, Children's Hospital of Philadelphia, PA, USA; Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China.
Insights
Researchers created age-specific brain atlases for preterm infants using diffusion tensor imaging (DTI). These atlases map brain structures, aiding the study of neural development and disorders in premature babies.
Area of Science:
- Neuroscience
- Medical Imaging
- Developmental Biology
Background:
- Dramatic structural changes occur in the human brain during the 3rd trimester, crucial for neural circuit formation.
- Increased survival rates of premature infants highlight the need for specialized tools to study their developing brains.
- Significant morphological differences exist between preterm and full-term infant brains, necessitating age-specific atlases.
Purpose of the Study:
- To establish age-specific diffusion tensor imaging (DTI) templates and atlases for preterm and term-born brains at 33, 36, and 39 postmenstrual weeks (PMW).
- To provide detailed anatomical labeling of major gray matter (GM) and white matter (WM) structures within these age-specific atlases.
- To demonstrate the utility of these atlases in understanding normal brain maturation and detecting neural disorders in preterm infants.
Main Methods:
- Acquisition of high-quality DTI data from 84 healthy preterm and term-born neonates.
- Development of age-specific DTI templates, including single-subject, linearly transformed population-averaged, and nonlinearly transformed population-averaged templates.
- Comprehensive labeling of 126 major GM and WM structures within the atlases, covering cortical, subcortical, brainstem, and cerebellar regions.
Main Results:
- Established age-specific DTI templates and atlases for brains at 33, 36, and 39 PMW.
- Revealed dramatic morphological changes in neural structures like the ganglionic eminence and uncinate fasciculus between 33 and 39 PMW.
- Demonstrated reliable and reproducible automated labeling using age-matched atlases, validated by Dice ratio and L1 error metrics, outperforming manual delineation.
Conclusions:
- The developed age-specific DTI atlases accurately represent brain maturation in preterm and term infants.
- These atlases enable effective automatic delineation of microstructural changes in white matter tracts during the 3rd trimester.
- The atlases serve as a valuable tool for understanding normal brain development and identifying biomarkers for neural disorders in preterm populations.
Abstract:
During the 3rd trimester, dramatic structural changes take place in the human brain, underlying the neural circuit formation. The survival rate of premature infants has increased significantly in recent years. The large morphological differences of the preterm brain at 33 or 36 postmenstrual weeks (PMW) from the brain at 40PMW (full term) make it necessary to establish age-specific atlases for preterm brains. In this study, with high quality (1.5 × 1.5 × 1.6 mm3 imaging resolution) diffusion tensor imaging (DTI) data obtained from 84 healthy preterm and term-born neonates, we established age-specific preterm and term-born brain templates and atlases at 33, 36 and 39PMW. Age-specific DTI templates include a single-subject template, a population-averaged template with linear transformation and a population-averaged template with nonlinear transformation. Each of the age-specific DTI atlases includes comprehensive labeling of 126 major gray matter (GM) and white matter (WM) structures, specifically 52 cerebral cortical structures, 40 cerebral WM structures, 22 brainstem and cerebellar structures and 12 subcortical GM structures. From 33 to 39 PMW, dramatic morphological changes of delineated individual neural structures such as ganglionic eminence and uncinate fasciculus were revealed. The evaluation based on measurements of Dice ratio and L1 error suggested reliable and reproducible automated labels from the age-matched atlases compared to labels from manual delineation. Applying these atlases to automatically and effectively delineate microstructural changes of major WM tracts during the 3rd trimester was demonstrated. The established age-specific DTI templates and atlases of 33, 36 and 39 PMW brains may be used for not only understanding normal functional and structural maturational processes but also detecting biomarkers of neural disorders in the preterm brains.
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