Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, 20 Eonjuro 63-gil, Gangnam-gu, Seoul, Republic of Korea.
Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-gu, Seoul, Republic of Korea.
Ann Nucl Med. 2020 Apr;34(4):280-288. doi: 10.1007/s12149-020-01445-y. Epub 2020 Feb 22.
Digital brain template and atlas designed for a specific group provide advantages for the analysis and interpretation of neuroimaging data, but require a significant workload for development. We developed a simple method to create customized brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) tool using FreeSurfer-generated volume-of-interest (FSVOI) images and validated.
F-florbetaben positron emission tomography (PET) and magnetic resonance (MR) imaging data were obtained from 248 participants of Alzheimer's disease spectrum (from cognitively normal to Alzheimer's disease dementia). To create a customized atlas, MR images of 84 amyloid-negative controls were first processed with FreeSurfer to obtain individual FSVOI and with DARTEL tool to create DARTEL template. Individual FSVOI images were spatially normalized, and each voxel was then labelled with a VOI label with maximum probability. Using these template and atlas, all images were normalized, and the regional standardized uptake value ratios (SUVR) were measured.
F-florbetaben SUVR values measured with customized atlas showed excellent one-to-one correlation with SUVR measured with individual FSVOI in all regions, and thereby showed almost identical between-group comparison results and outperformed the classic methods.
Customized FreeSurfer-based brain atlas for DARTEL tool is easy to create and useful for the analysis of PET and MR images with high adaptability and reliability for broad research purposes.
为特定群体设计的数字脑模板和图谱在神经影像学数据分析和解释方面具有优势，但开发需要大量的工作量。我们开发了一种简单的方法，使用 Freesurfer 生成的感兴趣区（FSVOI）图像和验证的指数李代数（DARTEL）工具为形变解剖配准创建定制的脑图谱。
从阿尔茨海默病谱（从认知正常到阿尔茨海默病痴呆）的 248 名参与者中获得 F-氟比他滨正电子发射断层扫描（PET）和磁共振（MR）成像数据。为了创建定制图谱，首先使用 Freesurfer 对 84 名淀粉样蛋白阴性对照者的 MR 图像进行处理，以获得个体 FSVOI，并使用 DARTEL 工具创建 DARTEL 模板。对个体 FSVOI 图像进行空间归一化，然后用最大概率的 VOI 标签标记每个体素。使用这些模板和图谱对所有图像进行归一化，并测量区域标准化摄取比值（SUVR）。
用定制图谱测量的 F-氟比他滨 SUVR 值与所有区域的个体 FSVOI 测量的 SUVR 值具有极好的一一对应关系，因此显示出几乎相同的组间比较结果，并优于经典方法。
基于 Freesurfer 的定制 DARTEL 工具的脑图谱易于创建，并且对于具有高适应性和可靠性的 PET 和 MR 图像分析具有广泛的研究用途。
