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tck2connectome: 这个命令可以利用streamlines文件和分割好的脑图(parcellation image)生成一个白质纤维连接矩阵。这里只介绍这个命令。
tck2connectome [ options ] tracks_in nodes_in connectome_out
如果不想一个个看,也可以直接参考例子。
(中文大部分机翻)
Options | Details | 中文 |
---|---|---|
-assignment_end_voxels | use a simple voxel lookup value at each streamline endpoint | 在每个流线端点使用一个简单的体素查找值 |
-assignment_radial_search radius | perform a radial search from each streamline endpoint to locate the nearest node. Argument is the maximum radius in mm; if no node is found within this radius, the streamline endpoint is not assigned to any node. Default search distance is 4mm. | 从每个流线端点进行径向搜索,找到最近的节点。参数是最大半径,单位是毫米;如果在这个半径内没有找到节点,流线端点就不会分配给任何节点。默认搜索距离为4mm。 |
-assignment_reverse_search max_dist | traverse from each streamline endpoint inwards along the streamline, in search of the last node traversed by the streamline. Argument is the maximum traversal length in mm (set to 0 to allow search to continue to the streamline midpoint). | 从每个流线端点沿流线向内遍历,寻找流线最后穿越的节点。参数是最大遍历长度,单位是毫米(设置为0,允许继续搜索到流线中点)。 |
-assignment_forward_search max_dist | project the streamline forwards from the endpoint in search of a parcellation node voxel. Argument is the maximum traversal length in mm. | 从端点开始向前投射流线,搜索一个取消节点体素。参数是最大遍历长度,单位是毫米。参数是最大遍历长度&# |
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