Automated parcellation and atlasing of the human subcortex with ultra-high resolution quantitative MRI

利用超高分辨率定量磁共振成像技术对人类皮层下区域进行自动分区和图谱绘制

阅读:1

Abstract

Brain mapping efforts are time-consuming and benefit from an incremental approach. This allows periodic updates with newly acquired data, analysis methods, and resulting atlases and automated delineation approaches. Here, we present a new release of the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD dataset is now extended with 105 7 Tesla slab quantitative MRI contrasts covering the subcortex at a 0.5 mm isotropic resolution. The data were collected from 105 participants covering the adult lifespan together with the previously released whole-brain acquisitions. Whole-brain and slab data now have been co-registered, manually delineated, and used for the expansion of the Multi-contrast anatomical subcortical structures parcellation (MASSP) algorithm, which now allows the individual delineation of 19 additional anatomical structures. MASSP2.0 can be used to delineate 35 structures in individual brain contrasts, creating a total of 63 created masks. Quantitative MRI maps, derived probability maps for anatomical structures, as well as MASSP2.0 are now freely available for further analyses.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。