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MNI Average Brain (305 MRI)
Stereotaxic Registration Model
This is a version of the MNI Average Brain (an average of 305
T1-weighted MRI scans, linearly transformed to Talairach space)
specially adapted for use with the MNI Linear Registration Package
(mni_reg). Included in this package are the following files:
average_305.mnc
a version of the average MRI that covers the whole brain
(unlike the original Talairach atlas), sampled with 1mm cubic
voxels
average_305_mask.mnc
a mask of the brain in average_305.mnc, semi-automatically
created by Dr. Colin Holmes <[email protected]>. 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)
average_305_headmask.mnc
another mask, required for nonlinear mode
Here's a brief summary of what you need to do:
1) Build and install the entire MNI AutoReg package, as described in
the README with that package.
2) Install the model:
* ./configure --prefix=/usr/local/mni
or where you installed mni_autoreg
* make
* make install
Now, you're ready to try out mritotal on real data. See the file
TESTING included with MNI AutoReg for instructions on doing this.
Any problems with this package should be reported to
Andrew Janke <[email protected]>, or
Louis Collins <[email protected]>.
Reference:
Collins, D.L., Neelin, P., Peters, T.M., Evans, A.C. (1994)
Automatic 3-D intersubject registration of MR volumetric data in standardized Talairach space.
J. Comput. Assist. Tomogr. 18 (2), 192–205.
Evans, A.C., Collins, D.L., Milner, B. (1992)
An MRI-based stereotaxic atlas from 250 young normal subjects.
Proc 22nd Annual Symposium, Society for Neuroscience, 18, p. 408.
Evans, A.C., Marrett, S., Neelin, P., Collins, D.L., Worsley, K., Dai, W., Milot, S., Meyer, E., Bub, D. (1992)
Anatomical mapping of functional activation in stereotactic coordinate space.
NeuroImage 1 (1), 43–63.
Evans, A.C., Collins, D.L., Mills, S.R., Brown, E.D., Kelly, R.L., Peters, T.M. (1993)
3D statis- tical neuroanatomical models from 305 MRI volumes.
Proc IEEE-Nuclear Science Symposium and Medical Imaging Conference, pp. 1813–1817.
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