Using atlas in animal_warp

Hiii, thanks for the reply! (sorry I went to a department retreat in the past few days)
I tried the following steps:

3dcopy mydata.nii.gz mydata
3dinfo mydata+orig
to3d ‘3D:-1:0:128:128:33:mydata+orig.BRIK’

3dcopy output:

++ 3dcopy: AFNI version=AFNI_24.1.16 (Jun  6 2024) [64-bit]
** AFNI converts NIFTI_datatype=64 (FLOAT64) in file /Users/yibeichen/Desktop/fusi/fusi.nii to FLOAT32
     Warnings of this type will be muted for this session.
     Set AFNI_NIFTI_TYPE_WARN to YES to see them all, NO to see none.
*+ WARNING: NO spatial transform (neither qform nor sform), in NIfTI file '/Users/yibeichen/Desktop/fusi/fusi.nii'

3dinfo output:

++ 3dinfo: AFNI version=AFNI_24.1.16 (Jun  6 2024) [64-bit]

Dataset File:    fusi+orig
Identifier Code: AFN_yLaLnmhciQBuIYQCRewhJQ  Creation Date: Wed Jun 12 12:57:11 2024
Template Space:  ORIG
Dataset Type:    Anat Bucket (-abuc)
Byte Order:      LSB_FIRST [this CPU native = LSB_FIRST]
Storage Mode:    BRIK
Storage Space:   20,062,464 (20 million) bytes
Geometry String: "MATRIX(-1,0,0,0,0,-1,0,0,0,0,1,0):192,151,173"
Data Axes Tilt:  Plumb
Data Axes Orientation:
  first  (x) = Left-to-Right
  second (y) = Posterior-to-Anterior
  third  (z) = Inferior-to-Superior   [-orient LPI]
R-to-L extent:  -191.000 [R] -to-     0.000     -step-     1.000 mm [192 voxels]
A-to-P extent:  -150.000 [A] -to-     0.000     -step-     1.000 mm [151 voxels]
I-to-S extent:     0.000     -to-   172.000 [S] -step-     1.000 mm [173 voxels]
Number of values stored at each pixel = 1
  -- At sub-brick #0 '#0' datum type is float:      4.50397 to       83020.4

to3d messages/warnings:

*+ WARNING: *** ILLEGAL INPUTS (cannot save) ***

Axes orientations are not consistent!
++ Making widgets++
++
 Hints disabled: X11 failure to create LiteClue window
++
.....
yibeichen@dhcp-10-29-164-213 fusi % to3d '3D:-1:0:128:128:33:fusi+orig.BRIK'
++ to3d: AFNI version=AFNI_24.1.16 (Jun  6 2024) [64-bit]
++ Authored by: RW Cox
++ It is best to use to3d via the Dimon program.
++ Counting images:  total=33 2D slices
++ Each 2D slice is 128 X 128 pixels
++ Image data type = short
++ Reading images: .................................
++ to3d WARNING: 134870 negative voxels (24.9449%) were read in images of shorts.
++               It is possible the input images need byte-swapping.
Consider also -ushort2float.
*+ WARNING: *** ILLEGAL INPUTS (cannot save) ***

Axes orientations are not consistent!
++ Making widgets++
++
 Hints disabled: X11 failure to create LiteClue window
++

I guess this one is important?

134870 negative voxels (24.9449%) were read in images of shorts.
It is possible the input images need byte-swapping.

then if I click “view images” I got the following:

I also tried MRIcroGL from here. for some reason, I couldn’t get the correct results after rotation…