Garyfallidis, Eleftherios Advanced Atlas of 80 Bundles in MNI space <div>This is a dataset to be used by the RecoBundles algorithm to automatically extract anatomically relevant bundles from tractograms. RecoBundles is available in DIPY (http://dipy.org). The algorithm is explained in the paper:<br></div><div><div><br></div><div>Garyfallidis, Eleftherios, et al. "Recognition of white matter bundles using local and global streamline-based registration and clustering." NeuroImage 170 (2017): 283-297.</div><div><br></div><div>https://www.ncbi.nlm.nih.gov/pubmed/28712994</div><div><br></div><div>This dataset is curated from the dataset explained in the following paper:</div><div><br></div><div>Yeh, Fang-Cheng, et al. "Population-averaged atlas of the macroscale human structural connectome and its network topology." NeuroImage 178 (2018): 57-68.</div><div><br></div><div>https://www.sciencedirect.com/science/article/pii/S1053811918304324</div><div><br></div><div>All the bundles and trk (Trackvis) files are in MNI space ICBM 2009a.</div><div><br></div><div>Do contact the DIPY developers at https://gitter.im/nipy/dipy if you need the bundles at ICBM 2009c space.</div><div><br></div><div>For the Fornix (F) both left and right sides are included in one file. It is possible to easily separate them if you need to. Send an e-mail to dipy@python.org to learn how.</div><div><br></div><div>If you use this dataset please cite Garyfallidis et al. 2017 and Yeh et al. 2018 (see above).</div><div><br></div><div>Happy RecoBundling!</div></div><div><br></div> bundles;tracts;fascicles;tractography;segmentation;neuroanatomy;neurology;tractogram;diffusion mri;dti;Neurology and Neuromuscular Diseases;Neuroscience 2018-11-22
    https://figshare.com/articles/dataset/Advanced_Atlas_of_80_Bundles_in_MNI_space/7375883
10.6084/m9.figshare.7375883.v2