five

Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination

收藏
Zenodo2024-12-21 更新2026-06-04 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.6473141
下载链接
链接失效反馈
官方服务:
资源简介:
Submissions for the Tractostorm 2 Project [1]  from our collaborators (raters) are available for new analysis. Contains regions of interest (ROIs) as well as resulting bundles. Segmentations were performed with MI-Brain [2] (MI-Brain) Initial data is the same as in the initial Tractostorm Project [3] Contains the data as sent to collaborators and the written document containing the dissection protocol in detail. [1] Rheault, Francois, et al. "Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination." Human Brain Mapping (2022). [2] Rheault, Francois, et al. "MI-Brain, a software to handle tractograms and perform interactive virtual dissection." Proceedings of the ISMRM Diffusion study group workshop, Lisbon. 2016. [3] Rheault, Francois, et al. "Tractostorm: The what, why, and how of tractography dissection reproducibility." Human brain mapping 41.7 (2020): 1859-1874. Data Organization: The 5 HCP subjects were duplicated 4 times each. 193441 -> A111, B218, C317, D418 219231 -> A127, B228, C320, D426 286650 -> A136, B237, C338, D436 486759 -> A149, B246, C344, D443 615441 -> A156, B252, C359, D450 Bundles can be segmented automatically using the scilpy toolbox. scil_filter_tractogram.py ${INPUT} ${OUTPUT} ${OPTIONS} ${INPUT} would be the whole brain tractogram of an HCP subject in data_to_segment.zip ${OUTPUT} would be the bundle filename (preferably .trk format) ${OPTIONS} would be the sequence of ROIs to apply, one for each bundle. CC: '--drawn_roi CENTRAL_CC.nii.gz any include --drawn_roi LOWER_AXIAL_LIM.nii.gz any exclude --drawn_roi POST_C_L.nii.gz any exclude --drawn_roi PRE_C_L.nii.gz any exclude --drawn_roi POST_C_R.nii.gz any exclude --drawn_roi PRE_C_R.nii.gz any exclude' AF_L: '--drawn_roi CENTRAL_CS_L.nii.gz any include --drawn_roi MEDIAL_SAGITTAL_LIM.nii.gz any exclude --drawn_roi POST_C_L.nii.gz any include --drawn_roi PRE_C_L.nii.gz any include --drawn_roi TEMPORAL_ENTRY.nii.gz any include --drawn_roi TEMPORAL_STEM.nii.gz any exclude' PYT_L: '--drawn_roi IC_L.nii.gz any include --drawn_roi MO_L.nii.gz any include --drawn_roi MB_L.nii.gz any include --drawn_roi MO_L_NOT.nii.gz any exclude --drawn_roi MID_SAGITTAL_PLANE.nii.gz any exclude --drawn_roi POST_C_L.nii.gz any exclude --drawn_roi PRE_C_L.nii.gz any exclude'
提供机构:
Zenodo
创建时间:
2022-04-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作