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Online bundle registration
Github Code Repository

A online service supports the transformation and the registration of your own tractography bundle from the trk format in individual space to ply format in the specimen space.

A repository of python scripts useful to manipulate the 3D models, the annotations and the bundles as point clouds or meshes. Try out to clone the repository here
https://github.com/minilabus/bradiphopy

Tool

SERVICE AND SOFTWARE

Below the three output files available for download:

PLY
The bundle encoded as tubes in the specimen space
VTK
The bundle encoded as polylines in the specimen space

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DOWNLOAD

The result of the transformation and registration of the uploaded bundles available for download.
The PLY format is the best option for the visualization with CloudCompare tool. The VTK format is encoding the streamlines only as polylines.

UPLOAD

The bundle tractography can be in TRK or TCK format (no whole brain tractogram). Only a single bundle can be specified at each time. The T1 nifti file is mandatory and refers to the reference space of the bundle tractography. The particular template should be provided to verify the compliance of a standard space.

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FROM IN-VIVO TO EX-VIVO
IN-VIVO
EX-VIVO

Every bundle tractography obtained from DWI can be visualized as overlay with the 3D models of ex-vivo dissection. The projection of a bundle tractography is carried out by a step of registration and a step of conversion of streamlines as 3D tube. The reference space of the tractography should be MNI ICBM152 2009 a. A nonlinear Registration Step is performed to the reference space of the specimen.
By uploading a pair of files, a TRK (or TCK) and a Nifti respectively, you may obtain the correspondent representation suitable for a concurrent visualization with 3D dissection models.
The uploaded files should be anonymized and they will be deleted after the computation.