https://github.com/aces/mni-models_icbm152-nl
https://github.com/aces/mni-models_icbm152-nl
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/aces/mni-models_icbm152-nl
- Owner: aces
- License: other
- Created: 2019-05-08T15:42:59.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-09T20:52:48.000Z (about 7 years ago)
- Last Synced: 2025-09-08T23:28:52.554Z (9 months ago)
- Language: Makefile
- Size: 17.6 KB
- Stars: 0
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README
- Changelog: ChangeLog
- License: COPYING
- Authors: AUTHORS
Awesome Lists containing this project
README
MNI ICBM152 non-linear 6th generation symmetric Average Brain
Stereotaxic Registration Model
This is a version of the ICBM Average Brain - an average of 152
T1-weighted MRI scans, linearly and non-linearly (6 iterations)
transformed to form a symmetric model in Talairach space - that
is specially adapted for use with the MNI Linear Registration
Package (mni_autoreg).
Please note that this volume here is different from the mni305 model
(average_305) that was originally (back in ancient times) included
with mni_autoreg.
Included in this package are the following files:
icbm_avg_152_t1_tal_nlin_symmetric_VI.mnc
a version of the average MRI that covers the whole brain
(unlike the original Talairach atlas), sampled with 1mm cubic
voxels
icbm_avg_152_t1_tal_nlin_symmetric_VI_mask.mnc
a mask of the average brain in icbm_avg_152_t1_tal_nlin_symmetric_VI.mnc,
semi-automatically created by Dr. Louis Collins. Note that
this mask has had holes filled in, so it is a connected volume
but includes non-brain tissue (eg. the CSF in the ventricles)
icbm_avg_152_t1_tal_nlin_symmetric_VI_headmask.mnc
another mask (full head mask), required for nonlinear mode
icbm_avg_152_t1_tal_nlin_symmetric_VI_eye_mask.mnc
a mask of the eyes
icbm_avg_152_t1_tal_nlin_symmetric_VI_vent.mnc
a mask of the ventricles
Reference:
G. Grabner, A. L. Janke, M. M. Budge, D. Smith, J. Pruessner, and D. L. Collins. (2006)
Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults,
Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol. 9, pp. 58-66.
http://www.ncbi.nlm.nih.gov/pubmed/17354756