You may be interested in these 4 entry points. Contacting these authors should narrow your search. Be also aware of the variability of the vascular territories.
I am also looking at some similar material.
Ref1. probabilistic map produced by Michel Dojat in Grenoble france (GIN, Grenoble Institut des Neurosciences INSERM : U836). The digital Atlas of the Blood supply territories of the brain (BST), derived from the 12 printed serial sections in the axial plan developed by Tatu et al. The atlas fits the Talairach space, this 3D atlas is used to determine the stroke subtype
see : Yacine Kabir, Michel Dojat, et al. Multimodal MRI segmentation of ischemic stroke lesions. Conf Proc IEEE Eng Med Biol Soc. 2007 ; 2007: 1595–1598
Ref. 2: the digital probabilistic map of PCA infarcts produced by Thanh G. Phan et al (Digital Map of Posterior Cerebral Artery Infarcts Associated With Posterior Cerebral Artery Trunk and Branch Occlusion - Stroke 2007;38;1805-1811). They register their PCA lesions with the MNI template. It is not a vascular territory map but a map of probability of stroke.
Ref. 3: Another probabilistic map for ICA produced by Jae Sung Lee et al in Seoul.: Probabilistic map of blood flow distribution in the brain from the internal carotid artery. NeuroImage 23 (2004) 1422– 1431.
Ref. 4: Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories. W Nowinski et al. Academic Radiology. 13, 8, Pages 1025–1034, August 2006. Their approach is a atlas-to-scan transformation (mapping), quite the opposite of what you may want to do (mapping each scan to the registered atlas).
I've been looking for the same resource material and haven't found it either.
If you are working with mice, the book entitled "The Mouse Nervous System" has a chapter (written by Oscar U. Scremin & Daniel P. Holschneider) which is pretty useful in this regard if you want to map the cerebrovascular territories manually.
You may be interested in these 4 entry points. Contacting these authors should narrow your search. Be also aware of the variability of the vascular territories.
I am also looking at some similar material.
Ref1. probabilistic map produced by Michel Dojat in Grenoble france (GIN, Grenoble Institut des Neurosciences INSERM : U836). The digital Atlas of the Blood supply territories of the brain (BST), derived from the 12 printed serial sections in the axial plan developed by Tatu et al. The atlas fits the Talairach space, this 3D atlas is used to determine the stroke subtype
see : Yacine Kabir, Michel Dojat, et al. Multimodal MRI segmentation of ischemic stroke lesions. Conf Proc IEEE Eng Med Biol Soc. 2007 ; 2007: 1595–1598
Ref. 2: the digital probabilistic map of PCA infarcts produced by Thanh G. Phan et al (Digital Map of Posterior Cerebral Artery Infarcts Associated With Posterior Cerebral Artery Trunk and Branch Occlusion - Stroke 2007;38;1805-1811). They register their PCA lesions with the MNI template. It is not a vascular territory map but a map of probability of stroke.
Ref. 3: Another probabilistic map for ICA produced by Jae Sung Lee et al in Seoul.: Probabilistic map of blood flow distribution in the brain from the internal carotid artery. NeuroImage 23 (2004) 1422– 1431.
Ref. 4: Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories. W Nowinski et al. Academic Radiology. 13, 8, Pages 1025–1034, August 2006. Their approach is a atlas-to-scan transformation (mapping), quite the opposite of what you may want to do (mapping each scan to the registered atlas).
I have been working on a 3D map of arterial territories for neonates (http://adc.bmj.com/content/99/Suppl_2/A150.1.abstract). It is based on Tatu et al. as well as in 25 cases of neonatal stroke. We still want to validate it with independent cases but we think it is a very good first approximation. Of course variability as well as intersection of different arterial territories are big limitations. Would a version of this, registered to MNI-space, work for you?
Josh let me know if you find anything that looks good. Our lab group has talked about this a couple of times but not seriously pursued it. We have interest in relating some AD changes to particular vascular networks.
Same here, would be really interested to have a probabilistic digital atlas of territories. Will look at the papers Pascal and Christian suggested, but if someone has a link to a probabilistic blood supply map, that would be awesome.
This link is to a nifti file with the regions from the 1998 Tatu neurology paper. Not probabilistic but the best I could find, and I have been looking for a few weeks!
Has anyone else found or created anything better than the files suggested by Robin? If you do not have permission to share, could you please direct me to someone I can contact?