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Hello Freesurfer Community,
Apologies for the duplicate message, but there was an issue with my previous message where the first part was removed.
I am trying to use mri_robust_template (with its default 6 DOF registration) outside of the Freesurfer longitudinal pipeline to generate within-participant T1 templates from 2 time points. Unfortunately, I am coming up against a 'MyMatrix::RotationMean input(s) not rotation' error on images acquired on our GE 3T Discovery 750 system, but not our colleagues' Seimens 3T Prisma images. I have pasted the output from the --debug flag below (3rd row from bottom is the MyMatrix::RotationMean message).
Briefly:
- the images I am using are skull-stripped niftis.
- I am running Freesurfer 6.0 (freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c) on a WSL2 Ubuntu 18.04 installation.
- the call is: mri_robust_template --mov 2001A_T1o_brain.nii.gz 2001B_T1o_brain.nii.mgz --lta 2001A2template.lta 2001B2template.lta --average 1 --template 2001_template.nii.gz --satit
- I have tried the following with no success:
1) using the --iscale flag - same result as shown below.
2) using --inittp 0 - results in a 'Segmentation fault'
3) using --average 0 - same result as shown below
4) using Freesurfer v7.2 - same result as below
5) running mri_robust_template call on Catalina and Big Sur systems with FS v6.0 - same result as below.
Currently, the only way to get mri_robust_template to work with our GE images is to run it with the --affine flag. I would prefer to use the rigid body registration but am at a loss for why these images are failing using the rigid body registration is failing. Any help/insights/recommendations are greatly appreciated.
Thank you very much.
Andrew
----
Andrew Beaudin, PhD | Postdoctoral Scholar
University of Calgary | Cumming School of Medicine
Department of Clinical Neurosciences
HSC Rm 2935J, 3330 Hospital Drive N.W. | Calgary, AB | T2N 4N1
Phone: (403) 210-6273
DEBUG REPORT:
$Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $
--mov: Using 2001A_T1o_brain.nii.gz as movable/source volume.
--mov: Using 2001B_T1o_brain.nii.gz as movable/source volume.
Total: 2 input volumes
--lta: Will output LTA transforms
--average: Using method 1 for template computation.
--template: Using 2001_template.nii.gz as template output volume.
--satit: Will estimate SAT iteratively!
--debug: Will output debug info and files!
reading source '2001A_T1o_brain.nii.gz'...
converting source '2001A_T1o_brain.nii.gz' to bspline ...
MRItoBSpline degree 3
reading source '2001B_T1o_brain.nii.gz'...
converting source '2001B_T1o_brain.nii.gz' to bspline ...
MRItoBSpline degree 3
Will use TP 2 as random initial target (seed 108242 ).
MultiRegistration::initializing Xforms (init 2 , maxres 0 , iterate 5 , epsit 0.01 ) :
MultiRegistration Parameters
Outdir: ./
TransOnly: false
Rigid: true
Robust: true
Satit: true
Iscale: false
IscaleOnly: false
NoMulti: false
SubsampleSize: -1
HighIt: -1
FixVoxel: false
KeepType: true
Average: 1
DoublePrec: false
BackupWeights: false
SampleType: 5
CRASCenter: false
Debug: 1
[init] ========================= TP 1 to TP 2 ==============================
Register TP 1 ( 2001A_T1o_brain.nii.gz )
to TP 2 ( 2001B_T1o_brain.nii.gz )
Registration::setSourceAndTarget(MRI s, MRI t, keeptype = TRUE )
Type Source : 3 Type Target : 3 keeping type
Mov: (1, 1, 1)mm and dim (176, 256, 256)
Dst: (1, 1, 1)mm and dim (176, 256, 256)
Asserting both images: 1mm isotropic
- no Mov reslice necessary
- no Dst reslice necessary
Registration::findSaturation
- computing centroids
- computing initial transform
-- using translation info
- Get Gaussian Pyramid Limits ( min size: 16 max size: -1 )
- Build Gaussian Pyramid ( Limits min steps: 0 max steps: 3 )
- Build Gaussian Pyramid ( Limits min steps: 0 max steps: 3 )
- Max Resolution used: 2
-- gpS ( 44 , 64 , 64 )
-- gpT ( 44 , 64 , 64 )
- running loop to estimate saturation parameter:
-- Iteration: 1 trying sat: 16
min sat: 16 ( 0.729941 ), max sat: 0 ( -1 ), sat diff: -16, (wlimit=0.16)
-- Iteration: 2 trying sat: 32
min sat: 32 ( 0.713406 ), max sat: 0 ( -1 ), sat diff: -32, (wlimit=0.16)
-- Iteration: 3 trying sat: 64
min sat: 64 ( 0.692689 ), max sat: 0 ( -1 ), sat diff: -64, (wlimit=0.16)
-- Iteration: 4 trying sat: 128
min sat: 128 ( 0.666858 ), max sat: 0 ( -1 ), sat diff: -128, (wlimit=0.16)
-- Iteration: 5 trying sat: 256
min sat: 256 ( 0.637119 ), max sat: 0 ( -1 ), sat diff: -256, (wlimit=0.16)
-- Iteration: 6 trying sat: 512
min sat: 512 ( 0.591624 ), max sat: 0 ( -1 ), sat diff: -512, (wlimit=0.16)
-- Iteration: 7 trying sat: 1024
min sat: 1024 ( 0.550606 ), max sat: 0 ( -1 ), sat diff: -1024, (wlimit=0.16)
-- Iteration: 8 trying sat: 2048
min sat: 2048 ( 0.485668 ), max sat: 0 ( -1 ), sat diff: -2048, (wlimit=0.16)
-- Iteration: 9 trying sat: 4096
min sat: 4096 ( 0.370434 ), max sat: 0 ( -1 ), sat diff: -4096, (wlimit=0.16)
-- Iteration: 10 trying sat: 8192
min sat: 8192 ( 0.19981 ), max sat: 0 ( -1 ), sat diff: -8192, (wlimit=0.16)
-- Iteration: 11 trying sat: 16384
min sat: 8192 ( 0.19981 ), max sat: 16384 ( 0.0606314 ), sat diff: 8192, (wlimit=0.16)
-- Iteration: 12 trying sat: 12288
min sat: 8192 ( 0.19981 ), max sat: 12288 ( 0.103499 ), sat diff: 4096, (wlimit=0.16)
-- Iteration: 13 trying sat: 10240
min sat: 8192 ( 0.19981 ), max sat: 10240 ( 0.142423 ), sat diff: 2048, (wlimit=0.16)
-- Iteration: 14 trying sat: 9216
min sat: 9216 ( 0.16727 ), max sat: 10240 ( 0.142423 ), sat diff: 1024, (wlimit=0.16)
-- Iteration: 15 trying sat: 9728
min sat: 9216 ( 0.16727 ), max sat: 9728 ( 0.155264 ), sat diff: 512, (wlimit=0.16)
-- Iteration: 16 trying sat: 9472
min sat: 9472 ( 0.160488 ), max sat: 9728 ( 0.155264 ), sat diff: 256, (wlimit=0.16)
-- Iteration: 17 trying sat: 9600
min sat: 9472 ( 0.160488 ), max sat: 9600 ( 0.157199 ), sat diff: 128, (wlimit=0.16)
-- Iteration: 18 trying sat: 9536
min sat: 9472 ( 0.160488 ), max sat: 9536 ( 0.159131 ), sat diff: 64, (wlimit=0.16)
-- Iteration: 19 trying sat: 9504
min sat: 9472 ( 0.160488 ), max sat: 9504 ( 0.159604 ), sat diff: 32, (wlimit=0.16)
-- Iteration: 20 trying sat: 9488
min sat: 9472 ( 0.160488 ), max sat: 9488 ( 0.159903 ), sat diff: 16, (wlimit=0.16)
-- Iteration: 21 trying sat: 9480
min sat: 9480 ( 0.160034 ), max sat: 9488 ( 0.159903 ), sat diff: 8, (wlimit=0.16)
-- Iteration: 22 trying sat: 9484
min sat: 9484 ( 0.160123 ), max sat: 9488 ( 0.159903 ), sat diff: 4, (wlimit=0.16)
-- Iteration: 23 trying sat: 9486
min sat: 9484 ( 0.160123 ), max sat: 9486 ( 0.159831 ), sat diff: 2, (wlimit=0.16)
-- Iteration: 24 trying sat: 9485
min sat: 9484 ( 0.160123 ), max sat: 9485 ( 0.159908 ), sat diff: 1, (wlimit=0.16)
-- Iteration: 25 trying sat: 9484.5
- final SAT: 9485 ( it: 25 , weight check 0.159908 <= 0.16 )
Registration::computeMultiresRegistration
- computing centroids
- computing initial transform
-- using translation info
- Get Gaussian Pyramid Limits ( min size: 16 max size: -1 )
- initial transform:
Ti = [ ...
1.0000000000000 0 0 -2.0251428914711
0 1.0000000000000 0 6.0311902437196
0 0 1.0000000000000 2.8105113695639
0 0 0 1.0000000000000 ]
- initial iscale: Ii =1
Resolution: 3 S( 22 32 32 ) T( 22 32 32 )
Iteration(f): 1
-- diff. to prev. transform: 2.97694
Iteration(f): 2
-- diff. to prev. transform: 0.0903233
Iteration(f): 3
-- diff. to prev. transform: 0.0191757
Iteration(f): 4
-- diff. to prev. transform: 0.0116139
Iteration(f): 5
-- diff. to prev. transform: 0.00140989 <= 0.01 :-)
Resolution: 2 S( 44 64 64 ) T( 44 64 64 )
Iteration(f): 1
-- diff. to prev. transform: 1.81202
Iteration(f): 2
-- diff. to prev. transform: 0.199033
Iteration(f): 3
-- diff. to prev. transform: 0.00925469 <= 0.01 :-)
Resolution: 1 S( 88 128 128 ) T( 88 128 128 )
Iteration(f): 1
-- diff. to prev. transform: 1.02247
Iteration(f): 2
-- diff. to prev. transform: 0.0229168
Iteration(f): 3
-- diff. to prev. transform: 0.000719712 <= 0.01 :-)
Resolution: 0 S( 176 256 256 ) T( 176 256 256 )
Iteration(f): 1
-- diff. to prev. transform: 0.664624
Iteration(f): 2
-- diff. to prev. transform: 0.0108463
Iteration(f): 3
-- diff. to prev. transform: 0.000585613 <= 0.01 :-)
- final transform:
Tf = [ ...
0.9994709868827 -0.0113151175724 -0.0304912199489 4.8530791096303
0.0126622658755 0.9989355014916 0.0443568583483 2.1370162587100
0.0299568590234 -0.0447194809223 0.9985503265352 5.4716006804225
0 0 0 1.0000000000000 ]
- final iscale: If = 1
CentroidT = [ 86.5860705940972 104.6067830299094 138.6676688710562 1.0000000000000 ]
CentroidSinT = [ 88.1595712077722 107.7558909090270 139.3780739549505 1.0000000000000 ]
Centroid = [ 87.3728209009347 106.1813369694682 139.0228714130033 1.0000000000000 ]
MyMatrix::RotationMean input(s) not rotation
meant = [ -1.2248131651588 1.2892456671960 3.1420193014715 ]
Input rotation's max deviation from rotation is: 0.000393411
----
Andrew Beaudin, PhD | Postdoctoral Scholar
University of Calgary | Cumming School of Medicine
Department of Clinical Neurosciences
HSC Rm 2935J, 3330 Hospital Drive N.W. | Calgary, AB | T2N 4N1
Phone: (403) 210-6273
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