We present GeoSP, a parallel method that creates a parcellation of the cortical mesh based on a geodesic distance, in order to consider gyri and sulci topology. The method represents the mesh with a graph and performs a K-means clustering in parallel. It has two modes of use, by default, it performs the geodesic cortical parcellation based on the boundaries of the anatomical parcels provided by the Desikan-Killiany atlas. The other mode performs the complete parcellation of the cortex. Results for both modes and with different values for the total number of sub-parcels show homogeneous sub-parcels. Furthermore, the execution time is 82 s for the whole cortex mode and 18 s for the Desikan-Killiany atlas subdivision, for a parcellation into 350 sub-parcels. The proposed method will be available to the community to perform the evaluation of data-driven cortical parcellations. As an example, we compared GeoSP parcellation with Desikan-Killiany and Destrieux atlases in 50 subjects, obtaining more homogeneous parcels for GeoSP and minor differences in structural connectivity reproducibility across subjects.
翻译:我们提出GeoSP, 这是一种平行的方法, 以大地测量距离为基础, 形成皮层网状网状的包裹, 以考虑毛状和硫层表层。 这种方法代表带有图形的网状, 并平行进行 K 值组。 默认情况下, 它有两种使用模式, 默认情况下, 它根据Desikan- Killiany 地图集提供的解剖包的界限, 进行大地皮层结裂。 另一种模式则执行皮层的完整包裹。 两种模式和不同值的子层总值的结果显示同质子。 此外, 整个皮层模式的执行时间为82秒, Desikan- Killiany 地图组群落的18秒, 与350个次层相形块的包状成。 提议的方法将提供给社区, 以进行数据驱动的皮层结裂的完整包状。 例如, 我们比较GeoSP与Desikan- Killiany 和Destrieleaux 类系群落之间在50个学科的细质和小粒状体间连接中, 获得更等同质的磁质的磁质和磁质的连接。