# Construction of a Structurally Unbiased Brain Template with High Image Quality from MRI Scans of Saudi Adult Females

## TL;DR

This paper creates the first brain template for Saudi adult females using MRI scans, improving accuracy for future brain studies in this population.

## Contribution

The first structural brain template for Saudi adult females using MRI scans and a novel method to reduce anatomical bias.

## Key findings

- The template shows enhanced sharpness and tissue contrast compared to existing templates.
- The method reduces anatomical bias and sensitivity to outliers in MRI data.
- Computational optimizations improved processing efficiency for template construction.

## Abstract

In brain mapping, structural templates derived from population-specific MRI scans are essential for normalizing individual brains into a common space. This normalization facilitates accurate group comparisons and statistical analyses. Although templates have been developed for various populations, none currently exist for the Saudi population. To our knowledge, this work introduces the first structural brain template constructed and evaluated from a homogeneous subset of T1-weighted MRI scans of 11 healthy Saudi female subjects aged 25 to 30. Our approach combines the symmetric model construction (SMC) method with a covariance-based weighting scheme to mitigate bias caused by over-represented anatomical features. To enhance the quality of the template, we employ a patch-based mean-shift intensity estimation method that improves image sharpness, contrast, and robustness to outliers. Additionally, we implement computational optimizations, including parallelization and vectorized operations, to increase processing efficiency. The resulting template exhibits high image quality, characterized by enhanced sharpness, improved tissue contrast, reduced sensitivity to outliers, and minimized anatomical bias. This Saudi-specific brain template addresses a critical gap in neuroimaging resources and lays a reliable foundation for future studies on brain structure and function in this population.