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Regional brain development analysis through registration using anisotropic similarity, a constrained affine
Antoine Legouhy1, Olivier Commowick1, Maïa Proisy1,2
1CNRS, INRIA, INSERM, IRISA UMR 6074, Empenn ERL U-1228, Univ Rennes, Rennes, France.
Plos One
|February 25, 2020
Summary
This study introduces a new method to measure brain growth in specific directions using anisotropic similarity transformation. The technique reveals directional brain development insights and differences across regions and genders in children and adolescents.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Medical Image Analysis
Background:
- Longitudinal volumetric analysis provides global brain growth metrics.
- Directional brain development patterns are not well-characterized.
- Understanding anisotropic brain growth is crucial for developmental studies.
Purpose of the Study:
- To introduce a novel method for quantifying brain growth in arbitrary orthogonal directions.
- To develop an anisotropic similarity transformation for linear registration.
- To analyze directional brain development and gender-specific differences.
Main Methods:
- A 9 degrees of freedom (dof) anisotropic similarity transformation was introduced.
- Linear registration was used to map subjects to a common reference space.
- Scaling factors were extracted to quantify directional brain growth.
- The method was applied to 308 healthy subjects aged 0-19 years.
Main Results:
- The method successfully quantified anisotropic regional and global brain development.
- Scaling factors revealed directional growth patterns in the developing brain.
- Significant gender differences in directional growth were observed across age intervals.
- The method demonstrated stability regardless of the chosen reference space.
Conclusions:
- The proposed anisotropic similarity method offers novel insights into directional brain development.
- This approach complements traditional volumetric analysis by providing directional growth information.
- The findings highlight the potential for studying regional and gender-specific brain growth trajectories.

