Unbiased average age-appropriate atlases for pediatric studies

Unbiased average age-appropriate atlases for pediatric studies

1 January 2011 | Vladimir Fonov, Alan C. Evans, Kelly Botteron, C. Robert Almli, Robert C. McKinstry, D. Louis Collins, and the Brain Development Cooperative Group
The paper presents a method for creating unbiased, age-appropriate MRI atlas templates for pediatric studies, specifically targeting the age range of 4.5 to 18.5 years. The goal is to reduce errors and biases in processing pediatric brain images by using templates that better reflect the anatomical changes and development specific to this age group. The authors used data from the NIH MRI Study of Normal Brain Development, which includes 324 subjects, and the ICBM database, which includes 152 young adults. The templates were created using nonlinear registration techniques to ensure high anatomical detail and contrast. The main contributions of the paper include the creation of T1-weighted, T2-weighted, and proton density-weighted templates, as well as average tissue maps for gray matter, white matter, and cerebrospinal fluid. The templates are designed to be useful for both clinical and basic research in pediatric studies. The paper also demonstrates the benefits of using age-appropriate templates through a deformation-based morphometry study, showing that using an adult template can introduce significant biases in pediatric data analysis. The atlases are publicly available for use in pediatric MRI data analysis.The paper presents a method for creating unbiased, age-appropriate MRI atlas templates for pediatric studies, specifically targeting the age range of 4.5 to 18.5 years. The goal is to reduce errors and biases in processing pediatric brain images by using templates that better reflect the anatomical changes and development specific to this age group. The authors used data from the NIH MRI Study of Normal Brain Development, which includes 324 subjects, and the ICBM database, which includes 152 young adults. The templates were created using nonlinear registration techniques to ensure high anatomical detail and contrast. The main contributions of the paper include the creation of T1-weighted, T2-weighted, and proton density-weighted templates, as well as average tissue maps for gray matter, white matter, and cerebrospinal fluid. The templates are designed to be useful for both clinical and basic research in pediatric studies. The paper also demonstrates the benefits of using age-appropriate templates through a deformation-based morphometry study, showing that using an adult template can introduce significant biases in pediatric data analysis. The atlases are publicly available for use in pediatric MRI data analysis.
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