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利用沙特成年女性的MRI扫描构建具有高图像质量的结构无偏脑模板

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

作者信息

Althobaiti Noura, Moria Kawthar, Elrefaei Lamiaa, Alghamdi Jamaan, Tayeb Haythum

机构信息

Department of Computer Science, College of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Benha 13511, Egypt.

出版信息

Bioengineering (Basel). 2025 Jun 30;12(7):722. doi: 10.3390/bioengineering12070722.

DOI:10.3390/bioengineering12070722
PMID:40722415
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12292261/
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.

摘要

在脑图谱研究中,从特定人群的磁共振成像(MRI)扫描中获取的结构模板对于将个体大脑归一化到共同空间至关重要。这种归一化有助于进行准确的组间比较和统计分析。尽管已经为不同人群开发了模板,但目前还没有针对沙特人群的模板。据我们所知,这项工作介绍了首个从11名年龄在25至30岁的健康沙特女性受试者的T1加权MRI扫描同质子集中构建并评估的结构性脑模板。我们的方法将对称模型构建(SMC)方法与基于协方差的加权方案相结合,以减轻因解剖特征过度呈现而导致的偏差。为了提高模板的质量,我们采用了基于补丁的均值漂移强度估计方法,该方法可提高图像清晰度、对比度以及对异常值的鲁棒性。此外,我们实施了计算优化,包括并行化和向量化操作,以提高处理效率。所得模板具有高图像质量,其特点是清晰度增强、组织对比度提高、对异常值的敏感性降低以及解剖偏差最小化。这个针对沙特人群的脑模板填补了神经成像资源方面的关键空白,并为该人群未来的脑结构和功能研究奠定了可靠基础。

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