# SPM templates and other images

## /TPM/ DIRECTORY

### Tissue probability maps used for segmentation/spatial normalisation

Contains Tissue probability maps generated from 549 of the subjects
from the IXI dataset (http://www.brain-development.org/).  The data
were collected as part of the project: IXI - Information eXtraction
from Images (EPSRC GR/S21533/02). T2-weighted and PD-weighted scans
were used.

The data were segmented using hidden options in SPM8's "New Segment"
procedure,  and the sufficient statistics manually edited to remove
obvious errors, before being smoothed slightly to greate  the TPMs.
Further manual adjustments were made such that the influence of the
priors on  the segmentation  was reduced slightly,  with the aim of
generalising them more easily to other populations.  This was a bit
ad hoc.
```
gm'   = gm   + 0.01 *wm   + 0.01 *csf
wm'   = wm   + 0.02 *gm
csf'  = csf  + 0.05 *gm   + 0.02 *wm
bone' = bone + 0.001*csf
tiss' = tiss + 0.05 *bone + 0.001*(gm+wm+air) + 0.01*csf
air'  = air
```
Then tissue probabilities were normalised to sum to 1.

Demographics for the entire IXI dataset may be found on the IXI web
site.  TPMs were computed from the following 549 subjects:
```
002 013 015 016 017 019 020 021 022 023 024 025 026 027 028 029 030
031 033 034 035 036 037 038 039 040 041 042 043 044 045 046 048 049
051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067
068 069 070 071 072 073 074 075 076 077 078 079 080 083 084 085 086
087 089 090 091 092 093 094 095 096 097 098 099 100 101 102 103 104
105 106 107 108 109 110 111 112 113 114 115 118 119 120 121 122 123
126 127 128 129 130 131 132 134 135 136 137 138 139 140 141 142 143
144 145 146 148 151 153 154 156 157 158 159 160 161 162 163 164 165
166 167 168 169 170 172 173 174 175 176 177 178 179 180 181 183 184
185 186 188 189 191 192 193 194 195 196 197 198 199 200 201 202 204
205 206 207 208 209 210 211 212 214 216 217 218 221 222 223 224 226
227 229 230 231 232 234 236 237 238 239 240 241 242 244 246 247 248
249 250 251 252 253 254 256 257 258 259 260 261 262 263 264 265 266
267 268 269 270 274 275 276 277 278 279 280 282 284 285 286 287 288
289 290 291 292 293 294 295 296 297 298 299 300 303 304 305 306 307
308 310 311 312 313 314 315 316 317 318 319 320 321 322 324 325 326
327 329 330 331 332 334 335 336 338 341 342 344 348 350 351 353 354
356 357 358 359 360 361 362 364 365 367 368 369 370 371 372 373 375
376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392
393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409
410 411 412 413 414 415 416 417 418 419 420 422 423 424 425 426 427
428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444
445 446 447 448 449 450 451 452 453 454 455 456 458 459 460 461 462
463 464 465 467 468 469 470 473 474 475 476 477 478 479 480 481 482
483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499
501 502 503 504 505 506 507 508 510 511 512 515 516 517 518 519 521
522 523 524 525 526 527 528 531 532 533 534 535 536 537 538 539 541
542 543 544 546 547 548 549 550 551 552 553 554 555 556 558 559 560
561 562 563 565 566 567 568 569 571 572 573 574 575 576 577 579 580
582 584 585 586 587 588 591 592 593 594 595 596 597 598 599 600 601
603 605 606 607 608 609 610 611 612 613 614 616 617 618 619 621 622
623 625 626 627 629 630 631 632 633 634 635 636 639 640 641 642 644
646 648 652 653 662
```

### tpm/labels_Neuromorphometrics.nii

Maximum probability tissue labels derived from the ``MICCAI 2012
Grand Challenge and Workshop on Multi-Atlas Labeling''
(https://masi.vuse.vanderbilt.edu/workshop2012/index.php/Challenge_Details).
These data were released under the Creative Commons
Attribution-NonCommercial (CC BY-NC) with no end date.
Users should credit the MRI scans as originating from the OASIS
project (http://www.oasis-brains.org/) and the labeled data as
"provided by Neuromorphometrics, Inc. (http://Neuromorphometrics.com/)
under academic subscription".  These references should be included
in all workshop and final publications.

The MRI scans were aligned with tpm/TPM.nii via the Segment algorithm
of SPM12b (version 5979, with settings all at default values), which
resulted in deformation fields that were used to warp the label maps
to MNI-space. The tpm/labels_Neuromorphometrics.nii encode the single
most probable structure labels following this rather approximate
alignment procedure (after weighting each subject to account for
repeat scans).

Labels are coded as follows:
```
 4   3rd Ventricle
 11  4th Ventricle
 23  Right Accumbens Area
 30  Left Accumbens Area
 31  Right Amygdala
 32  Left Amygdala
 35  Brain Stem
 36  Right Caudate
 37  Left Caudate
 38  Right Cerebellum Exterior
 39  Left Cerebellum Exterior
 40  Right Cerebellum White Matter
 41  Left Cerebellum White Matter
 44  Right Cerebral White Matter
 45  Left Cerebral White Matter
 46  CSF
 47  Right Hippocampus
 48  Left Hippocampus
 49  Right Inf Lat Vent
 50  Left Inf Lat Vent
 51  Right Lateral Ventricle
 52  Left Lateral Ventricle
 55  Right Pallidum
 56  Left Pallidum
 57  Right Putamen
 58  Left Putamen
 59  Right Thalamus Proper
 60  Left Thalamus Proper
 61  Right Ventral DC
 62  Left Ventral DC
 63  Right vessel
 64  Left vessel
 69  Optic Chiasm
 71  Cerebellar Vermal Lobules I-V
 72  Cerebellar Vermal Lobules VI-VII
 73  Cerebellar Vermal Lobules VIII-X
 75  Left Basal Forebrain
 76  Right Basal Forebrain
 100 Right ACgG anterior cingulate gyrus
 101 Left ACgG anterior cingulate gyrus
 102 Right AIns anterior insula
 103 Left AIns anterior insula
 104 Right AOrG anterior orbital gyrus
 105 Left AOrG anterior orbital gyrus
 106 Right AnG angular gyrus
 107 Left AnG angular gyrus
 108 Right Calc calcarine cortex
 109 Left Calc calcarine cortex
 112 Right CO central operculum
 113 Left CO central operculum
 114 Right Cun cuneus
 115 Left Cun cuneus
 116 Right Ent entorhinal area
 117 Left Ent entorhinal area
 118 Right FO frontal operculum
 119 Left FO frontal operculum
 120 Right FRP frontal pole
 121 Left FRP frontal pole
 122 Right FuG fusiform gyrus
 123 Left FuG fusiform gyrus
 124 Right GRe gyrus rectus
 125 Left GRe gyrus rectus
 128 Right IOG inferior occipital gyrus
 129 Left IOG inferior occipital gyrus
 132 Right ITG inferior temporal gyrus
 133 Left ITG inferior temporal gyrus
 134 Right LiG lingual gyrus
 135 Left LiG lingual gyrus
 136 Right LOrG lateral orbital gyrus
 137 Left LOrG lateral orbital gyrus
 138 Right MCgG middle cingulate gyrus
 139 Left MCgG middle cingulate gyrus
 140 Right MFC medial frontal cortex
 141 Left MFC medial frontal cortex
 142 Right MFG middle frontal gyrus
 143 Left MFG middle frontal gyrus
 144 Right MOG middle occipital gyrus
 145 Left MOG middle occipital gyrus
 146 Right MOrG medial orbital gyrus
 147 Left MOrG medial orbital gyrus
 148 Right MPoG postcentral gyrus medial segment
 149 Left MPoG postcentral gyrus medial segment
 150 Right MPrG precentral gyrus medial segment
 151 Left MPrG precentral gyrus medial segment
 152 Right MSFG superior frontal gyrus medial segment
 153 Left MSFG superior frontal gyrus medial segment
 154 Right MTG middle temporal gyrus
 155 Left MTG middle temporal gyrus
 156 Right OCP occipital pole
 157 Left OCP occipital pole
 160 Right OFuG occipital fusiform gyrus
 161 Left OFuG occipital fusiform gyrus
 162 Right OpIFG opercular part of the inferior frontal gyrus
 163 Left OpIFG opercular part of the inferior frontal gyrus
 164 Right OrIFG orbital part of the inferior frontal gyrus
 165 Left OrIFG orbital part of the inferior frontal gyrus
 166 Right PCgG posterior cingulate gyrus
 167 Left PCgG posterior cingulate gyrus
 168 Right PCu precuneus
 169 Left PCu precuneus
 170 Right PHG parahippocampal gyrus
 171 Left PHG parahippocampal gyrus
 172 Right PIns posterior insula
 173 Left PIns posterior insula
 174 Right PO parietal operculum
 175 Left PO parietal operculum
 176 Right PoG postcentral gyrus
 177 Left PoG postcentral gyrus
 178 Right POrG posterior orbital gyrus
 179 Left POrG posterior orbital gyrus
 180 Right PP planum polare
 181 Left PP planum polare
 182 Right PrG precentral gyrus
 183 Left PrG precentral gyrus
 184 Right PT planum temporale
 185 Left PT planum temporale
 186 Right SCA subcallosal area
 187 Left SCA subcallosal area
 190 Right SFG superior frontal gyrus
 191 Left SFG superior frontal gyrus
 192 Right SMC supplementary motor cortex
 193 Left SMC supplementary motor cortex
 194 Right SMG supramarginal gyrus
 195 Left SMG supramarginal gyrus
 196 Right SOG superior occipital gyrus
 197 Left SOG superior occipital gyrus
 198 Right SPL superior parietal lobule
 199 Left SPL superior parietal lobule
 200 Right STG superior temporal gyrus
 201 Left STG superior temporal gyrus
 202 Right TMP temporal pole
 203 Left TMP temporal pole
 204 Right TrIFG triangular part of the inferior frontal gyrus
 205 Left TrIFG triangular part of the inferior frontal gyrus
 206 Right TTG transverse temporal gyrus
 207 Left TTG transverse temporal gyrus
 ```
The 30 OASIS subjects (gender and age) used were:
```
 OAS1_0040 F 38
 OAS1_0061 F 20
 OAS1_0080 F 25
 OAS1_0083 F 90
 OAS1_0091 F 18
 OAS1_0092 M 22
 OAS1_0101 M 29
 OAS1_0111 M 23
 OAS1_0113 F 83
 OAS1_0117 M 25
 OAS1_0145 M 34
 OAS1_0150 F 20
 OAS1_0156 F 20
 OAS1_0191 F 21
 OAS1_0202 F 23
 OAS1_0220 F 75
 OAS1_0230 F 19
 OAS1_0236 F 20
 OAS1_0239 F 29
 OAS1_0249 F 28
 OAS1_0282 F 45
 OAS1_0285 M 20
 OAS1_0300 M 68
 OAS1_0331 F 54
 OAS1_0353 M 22
 OAS1_0368 M 22
 OAS1_0379 F 20
 OAS1_0395 F 26
 OAS1_0417 F 30
 OAS1_0456 M 61
 ```

## /CANONICAL/ DIRECTORY

Images in this  directory are intended for superimposing results
on to.

### canonical/avg305T1.nii

Image derived from norm_avg_305_mri_1mm.mnc, which was originally
supplied  by  Alan  Evans,  MNI,  Canada (ICBM, NIH P-20 project,
Principal Investigator John Mazziotta).  The image which  defines
the  305  space,  and  is intended for superimposing blobs on to.
See:  AC Evans, DL Collins, SR Mills, ED Brown,  RL  Kelly  &  TM
Peters (1993) "3D statistical neuroanatomical models from 305 MRI
volumes" Proc. IEEE-Nuclear Science Symposium and Medical Imaging
Conference pages 1813-1817

### canonical/avg152T1.nii, avg152T2.nii & avg152PD.nii

These  images  were  derived  from   icbm_avg_152_t1_tal_lin.mnc,
icbm_avg_152_t2_tal_lin.mnc  and icbm_avg_152_pd_tal_lin.mnc res-
pectively, which were originally supplied by  Alan  Evans,   MNI,
Canada   (ICBM,   NIH  P-20  project, Principal Investigator John
Mazziotta).   See  templates/T1.nii, T2.nii and PD.nii.

### canonical/single_subj_T1.nii

A T1 weighted MRI of  a  representative  male  individual.   This
image  was  used  for  the  T1  template supplied with SPM96.  It
should be noted that the MNI never recommended this  brain  as  a
stereotactic  standard.   This  is  something  that we at the FIL
chose to do.  The official standard  for  the  ICBM  stereotactic
space  is  the  MNI305 brain - which this is not.  This brain has
many merits for simulation but it suffers  from  all  the  single
brain criticisms that apply to Talairach.

The same dataset was used for the  brain  simulation  project  at
Montreal,     details     of    which    can    be    found    at
http://www.bic.mni.mcgill.ca/brainweb The simulator is  described
in:   RK-S  Kwan,  AC  Evans,  GB  Pike (1996) "An Extensible MRI
Simulator  for  Post-Processing  Evaluation"   Visualisation   in
Biomedical   Computing   (VBC'96).   Lecture  Notes  in  Computer
Science, vol. 1131. Springer-Verlag. 135-140.  and:  DL  Collins,
AP  Zijdenbos,  V  Kollokian,  JG  Sled, NJ Kabani, CJ Holmes, AC
Evans (June 1998) "Design and Construction of a Realistic Digital
Brain  Phantom"  IEEE  Transactions  on  Medical Imaging, vol.17,
No.3, p.463-468.

Note that results superimposed on the brain of a single individual
can often give a mis-leading impression of how accurately the 
findings are actually localised.  It is far preferable to super-
impose results on an average - preferably the average of all
subjects' data in the study.  This is much less misleading.

## /TOOLBOX/DARTEL/ DIRECTORY

Contains a crisp tissue probability map for nonlinear alignment with.

### toolbox/DARTEL/icbm152.nii

Based on the ICBM 2009c Nonlinear Asymmetric atlas.

The mni_icbm152_{gm,wm}_tal_nlin_asym_09c.nii  images were smoothed
by 2mm (isotropic) and resampled to 1.5mm isotropic resolution. The
original averages were created by Vladimir Fonov  of the  McConnell
Brain Imaging  Centre,   Montreal  Neurological Institute,   McGill
University.

See http://www.bic.mni.mcgill.ca/ServicesAtlases/ICBM152NLin2009

According to the web page, the atlas is
>  "Copyright (C) 1993–2004 Louis Collins, McConnell Brain Imaging
>   Centre, Montreal Neurological Institute, McGill University.
>   Permission to use, copy, modify, and distribute this software
>   and its documentation for any purpose and without fee is hereby
>   granted, provided that the above copyright notice appear in all
>   copies. The authors and McGill University make no representations
>   about the suitability of this software for any purpose. It is
>   provided “as is” without express or implied warranty. The authors
>   are not responsible for any data loss, equipment damage, property
>   loss, or injury to subjects or patients resulting from the use or
>   misuse of this software package."

The following papers should be cited when using the atlas:
> * VS Fonov, AC Evans, K Botteron, CR Almli, RC McKinstry, DL Collins
>  and BDCG,  Unbiased average age-appropriate atlases for pediatric
>  studies, NeuroImage,Volume 54, Issue 1, January 2011, ISSN 1053–8119,
>  DOI: 10.1016/j.neuroimage.2010.07.033
>* VS Fonov,  AC Evans,  RC McKinstry,  CR Almli and DL Collins,
>  Unbiased nonlinear average age-appropriate brain templates from birth
>  to adulthood,  NeuroImage, Volume 47, Supplement 1, July 2009, Page
>  S102 Organization for Human Brain Mapping 2009 Annual Meeting,
>  DOI: https://doi.org/10.1016/S1053-8119809970884-5 

## /TOOLBOX/OLDNORM/ DIRECTORY

This directory contains images for use as templates for spatially
normalising  images to the same stereotactic space.  The space is
based upon the Talairach system, but does  not  make  assumptions
about  brain  symmetry,  and  also  includes the cerebellum.  The
stereotactic  space   is  based  on  152   brains  from  Montreal
Neurological  Institute,  and  will eventually be replaced in due
course by a 450-brain version for the entire ICBM consortium.

Subject details:
```
   Age: mean=25.0, median=24.0, mode=19.0, stdev=4.9, range=18-44
   Sex: female=66 (43.4, male=86 (56.6
   Handedness: right=129 (90.2, left=14 (9.8, unknown=9
```

In SPM96, we released  a  single  subject  brain  for  use  as  a
template.   Although  the  MNI  gave  us  this  data,  they never
recommended that this brain  should  be  used  as  a  stereotaxic
standard.   This   is  something  that we at the FIL chose to do.
The official standard  for  the   ICBM   stereotactic  space   is
the   MNI305  brain  -  which  this was not.  This brain has many
merits for simulation but it  suffers   from   all   the   single
brain  criticisms  that apply to Talairach.  In this release, the
single subject T1 has been replaced by a 152 subject average.  We
(in  the  SPM  group)  chose  to  use the 152 subject T1-weighted
average rather than the 305 brain average because there are  also
T2-,  and  PD-weighted  images of the same subjects.  This should
allow  much  more  flexibility  in  the  range  of  different  MR
contrasts   that   can   be  spatially  normalised  to  the  same
stereotaxic space (by registering  to  a  linear  combination  of
template images).

### toolbox/OldNorm/T1.nii

Image  derived  from   icbm_avg_152_t1_tal_lin.mnc,   which   was
originally  supplied  by  Alan Evans, MNI, Canada (ICBM, NIH P-20
project, Principal Investigator John Mazziotta).  The  image  was
reduced to 2mm isotropic resolution and smoothed with an 8mm FWHM
Gaussian filter.

Sequence Details: Spoiled FLASH sequence, TE=10, TR=18, FA=30.

### toolbox/OldNorm/T2.nii

Image  derived  from   icbm_avg_152_t2_tal_lin.mnc,   which   was
originally  supplied  by  Alan Evans, MNI, Canada (ICBM, NIH P-20
project, Principal Investigator John Mazziotta).  The  image  was
reduced to 2mm isotropic resolution and smoothed with an 8mm FWHM
Gaussian filter.

Sequence Details: Dual echo spin echo, TE=120ms, TR=3300ms, FA=90.

### toolbox/OldNorm/PD.nii

Image  derived  from   icbm_avg_152_pd_tal_lin.mnc,   which   was
originally  supplied  by  Alan Evans, MNI, Canada (ICBM, NIH P-20
project, Principal Investigator John Mazziotta).  The  image  was
reduced to 2mm isotropic resolution and smoothed with an 8mm FWHM
Gaussian filter.

Sequence Details: Dual echo spin echo, TE=35ms, TR=3300ms, FA=90.

### toolbox/OldNorm/EPI.nii

The image was created from the average of 13 subjects  mean  fMRI
images.   The  grey matter was segmented from the original images
using the segmentation in SPM.  This was spatially normalised  by
matching  to  the  apriori/grey.nii  file  using  a  12-parameter
affine  registration,  followed   by   a nonlinear   registration
(using   the   7x8x7   lowest  frequency  DCT  coefficients,  and
heavy   regularisation).     These    estimated  parameters  were
then  applied  to the functional images, which were then averaged
and smoothed with an 8mm FWHM Gaussian kernel.  The  EPI   images
were  acquired  on  a  Siemens Vision scanner working at 2T.  The
original resolution of the images was an  isotropic   3mm  (1.8mm
slice   thickness   +  1.2mm  gap).  A gradient echo sequence was
used with TE@ms and a TR of about 3s.  Inter echo spacing  is 800
micro   seconds   with   a   sinusoidal   gradient  waveform  and
nonlinear ADC sampling.  Nyquist ghost  suppression  is  achieved
using  a  2  echo  reference  scan  (only 0th and 1st order phase
correction implemented). Maximum  gradient  strength  is  approx.
20mT/m.

Subject numbers: 1285 1286 1287 1291 1314 1379 1381 1399 1479
                 1514 1589 1644 1646.

### toolbox/OldNorm/PET.nii

Average of images from 12 subjects spatially normalised to  ICBM.
Images  were  first  registered to the T1-weighted MR images, and
spatially transformed using the same transformation.  Images were
acquired  on  a  Siemens  ECAT  HR+  at  the FIL, using Oxygen-15
labelled water. Averaged images smoothed using 8mm FWHM  Gaussian.

Subject numbers: 617 622 627 630 639 662 817 824 825 826 827 828.

### toolbox/OldNorm/Transm.nii

Average transmission image of 11 subjects.  Template generated in
similar way to PET.nii.

Subject numbers: 617 622 627 630 639 662 817 824 825 827 828.

### toolbox/OldNorm/SPECT.nii

The SPECT template was provided by Leighton Barnden. It is the
average of 90 normal Tc-99m HMPAO scans. Scatter was subtracted
using a lower 111-125 keV window. For spatial normalisation, scalp
was first masked (after an initial affine transformation to the
SPM2 SPECT template) by weighting with ../spm99/apriori/brainmask.
These scans were then spatially normalised to the (masked) SPM2
SPECT template. The same deformations were applied to the scans
with extra-cerebral activity and these were averaged. The result
was affine normalised to .../apriori/gray to correct for an
apparent midline offset in this and earlier SPECT and PET
templates.

Here are the ages (years) and sexes (1=F, 0=M) of the subjects.
```
age = [ ...
46    24    27    42    45    56    51    53    41    44 ...
44    46    28    24    30    58    43    45    24    29 ...
20    42    47    27    54    21    32    19    19    43 ...
29    43    20    28    59    21    60    46    37    23 ...
40    50    50    81    48    47    22    79    24    44 ...
74    47    54    78    43    35    54    60    57    55 ...
59    57    18    52    67    62    57    47    58    67 ...
62    67    61    64    38    37    31    48    60    30 ...
31    36    32    25    66    40    38    31    37    39];
sex = [ ...
1    1    0    1    0    1    1    0    1    1 ...
1    0    1    0    0    1    0    1    1    0 ...
0    1    0    0    1    1    0    1    1    0 ...
1    0    0    1    1    0    1    1    1    0 ...
0    1    1    0    0    1    0    0    1    0 ...
1    0    0    0    1    0    1    1    0    0 ...
1    0    1    0    1    1    0    1    0    1 ...
0    0    1    1    0    1    1    0    1    0 ...
1    1    0    1    1    1    1    1    1    1];
```

## /TOOLBOX/OLDSEG/ DIRECTORY

Contains Tissue probability maps provided by the International
Consortium for Brain Mapping, John C. Mazziotta and Arthur W. Toga.
http://www.loni.ucla.edu/ICBM/ICBM_TissueProb.html
The 452 subjects were between 20 and 32 years old, and were
approximately 50-50 male/female.

The original datasets were affine transformed to match the MNI152
space (by affine registration of the grey matter with the grey
matter image in the apriori directory: smosrc=8, smoref=0,
regtype=mni, cutoff=Inf).

## /TOOLBOX/FIELDMAP/ DIRECTORY
Images in this directory represent the a priori probabilities of the
voxels in a spatially normalised (9-parameter affine) brain image
belonging to a particular tissue type.  These data are all old,
and much of this toolbox now needs updating.

### toolbox/FieldMap/grey.nii, toolbox/Fieldmap/white.nii & toolbox/FieldMap/csf.nii

Images supplied by  Alan  Evans,  MNI,  Canada  (ICBM,  NIH  P-20
project,  Principal  Investigator  John Mazziotta).  Original 1mm
resolution images were  icbm_avg_151_gm.mnc,  icbm_avg_151_wm.mnc
and    icbm_avg_151_csf.mnc.     Images    were    masked   using
average_305_mask_1mm.mnc, reduced to 2mm resolution and  smoothed
using   an   8mm  FWHM  Gaussian.   These  images  represent  the
probabilities of finding grey matter, white  matter  or  cerebro-
spinal  fluid  at  any  point. These volumes are used largely for
image segmentation, although they can be used  as  templates  for
spatial  normalisation.  151  subjects  were  used to create each
volume.

### toolbox/FieldMap/brainmask.nii

Image derived from average_305_mask_1mm.mnc, which was originally
supplied  by  Alan  Evans,  MNI,  Canada (ICBM, NIH P-20 project,
Principal  Investigator  John  Mazziotta).   The  original  image
contained ones and zeros, where ones represented voxels that were
part of the brain.  It was subsequently  smoothed  using  an  8mm
FWHM  Gaussian.   This  volume  can be used to weight the spatial
normalisation so that the final solution  is  not  influenced  by
voxels outside the brain.

### toolbox/FieldMap/T1.nii

Same as toolbox/OldNorm/T1.nii.


> Note that the images are in neurological orientation, whereby the
> left  side  of  the  image  refers to the left side of the brain.
> This is contrary to the orientation that Analyze  expects  images
> to be in.
>
> To generate your own templates which fill the same volume, use  a
> bounding  box of -90:90 -126:90 -72:108, and voxel sizes of 2x2x2
> mm.
>
> The images were converted from the .img format of SPM99 to resolve
> confusion about left- versus right-handedness of co-ordinate systems.

```
John Ashburner
Copyright (C) 1991,1994-2022 Wellcome Centre for Human Neuroimaging
```
