Arterial Atlas Releases

ArterialAtlas_zip VascularAtlasLabel_updated

hubert_iu@www.nitrc.org (CHIN LIU) — Thu, 26 May 2022 4:20:00 GMT

<p>We updated a few trivial typos from the original atlas table and also, we like to make this table more available. So, we released this new updated atlas, so future users can find it easier.</p>

arterialatlas ArterialAtlas_v2_MNI152

hubert_iu@www.nitrc.org (CHIN LIU) — Thu, 11 Nov 2021 16:23:00 GMT

Our previous atlases are all in JHU MNI domain, whose origins are set to (0,0,0).

In order to make atlases more available to all clinical communities, we release this version of atlases in MNI152 domain.

Hopefully, this could help more future users to align our atlases to their images without any further adjustment.

As our ArterialAtlas_v2, this package has atlas images in both (181, 217, 181) and (182, 218, 182) dimension.

ArterialAtlas_zip ArterialAtlas_v2

hubert_iu@www.nitrc.org (CHIN LIU) — Thu, 07 Oct 2021 19:23:00 GMT

<p>* Images in "Atlas" folder are in MNI coordinates in 181x217x181 mm^3 * Images in "Atlas_182" folder in MNI coordinates in 182x218x182 mm^3 (compatible with FSL) * Image descriptions: ArterialAtlasLabels.txt: the "lookup table". It contains the labels (descriptive and acronyms) for the regions defined in ArterialAtlas.nii and ArterialAtlas_level2.nii. ArterialAtlas.nii: Image defining 30 arterial territories and ventricles. The intensities of the parcels correspond to their labels IDs, listed in the lookup table "ArterialAtlasLabels.txt ArterialAtlas_level2.nii: The combination of ArterialAtlas.nii parcels in 4 major territories (ACA, MCA, PCA, VB). The intensities of the parcels correspond to their labels, listed in the ArterialAtlasLabels.txt ProbArterialAtlas_average.nii: 4D image of the arterial territory maps, calculated by averaging of lesion masks. Each dimension represents the probability of a voxel to belong to a certain vascular territory (ACA, MCA, PCA, VB, respectively). ProbArterialAtlas_BMM.nii: 4D image of the arterial territory maps, calculated by the Bernoulli Mixture Model(BMM) method. Each dimension represents the probability of a voxel to belong to a certain vascular territory (ACA, MCA, PCA, VB, respectively). BorderZone_ProbAve.nii: 4D image showing the ratio of average probability maps; first dimension is MCA / ACA, second dimension is MCA / PCA. TerritoryVoxels_BMM.nii: 3D image showing the assignment of voxels to major vascular territories, calculated through the variation in BMM µmax. The image intensities are: 1. ACA, 2. MCA, 3. PCA, 4. voxels attributed to more than one vascular territory, 5. voxels not attributed to any vascular territory.</p>

arterialatlas Vascular_Probabilistic_Maps

hubert_iu@www.nitrc.org (CHIN LIU) — Tue, 17 Aug 2021 14:54:00 GMT

ArterialAtlas_zip ArterialAtlas_zip

hubert_iu@www.nitrc.org (CHIN LIU) — Mon, 03 May 2021 16:34:00 GMT

Digital 3D Brain MRI Arterial Territories Atlas
© 2021 The Johns Hopkins University
This Atlas is free: you can redistribute it and/or modify it under the terms of the Creative Commons Attribution-ShareAlike 4.0 International license. You should have received a copy of this license along with this program. If not, see https://creativecommons.org/licenses/by/4.0/legalcode.
This Atlas is distributed in the hope that it will be useful,but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.