Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Hum Brain Mapp. 2021 Apr 15;42(6):1758-1776. doi: 10.1002/hbm.25327. Epub 2021 Jan 15.
Τhe accuracy of template-based neuroimaging investigations depends on the template's image quality and representativeness of the individuals under study. Yet a thorough, quantitative investigation of how available standardized and study-specific T1-weighted templates perform in studies on older adults has not been conducted. The purpose of this work was to construct a high-quality standardized T1-weighted template specifically designed for the older adult brain, and systematically compare the new template to several other standardized and study-specific templates in terms of image quality, performance in spatial normalization of older adult data and detection of small inter-group morphometric differences, and representativeness of the older adult brain. The new template was constructed with state-of-the-art spatial normalization of high-quality data from 222 older adults. It was shown that the new template (a) exhibited high image sharpness, (b) provided higher inter-subject spatial normalization accuracy and (c) allowed detection of smaller inter-group morphometric differences compared to other standardized templates, (d) had similar performance to that of study-specific templates constructed with the same methodology, and (e) was highly representative of the older adult brain.
基于模板的神经影像学研究的准确性取决于模板的图像质量和研究个体的代表性。然而,对于现有标准化和特定于研究的 T1 加权模板在老年人群研究中的表现,尚未进行全面、定量的研究。本工作的目的是构建一个专门为老年人大脑设计的高质量标准化 T1 加权模板,并从图像质量、对老年人大脑数据的空间标准化性能、小的组间形态差异检测以及老年人大脑的代表性等方面,系统地比较新模板与其他几种标准化和特定于研究的模板。新模板是使用 222 名老年人的高质量数据进行的最先进的空间归一化构建的。结果表明,与其他标准化模板相比,新模板(a)表现出较高的图像清晰度,(b)提供了更高的个体间空间归一化精度,(c)允许检测到更小的组间形态差异,(d)与使用相同方法构建的特定于研究的模板具有相似的性能,以及(e)高度代表老年人大脑。