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Hi Yujing, No problem at all. I really appreciate yours, and now Martin's, help with this issue. If you would like to start with dicoms, please let me know.
Again, thank you both for your help.
Andrew
---- *Andrew Beaudin, PhD* | Research Associate 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
-------------------------------------------------------------------------------------------------------------- *From:* Huang, Yujing [mailto:YHUANG43@mgh.harvard.edu] *Sent:* Wednesday, December 7, 2022 at 10:27 *To:* Andrew Beaudin abeaudin@ucalgary.ca, Freesurfer support list freesurfer@nmr.mgh.harvard.edu *Cc:* Reuter, Martin,Ph.D. MREUTER@mgh.harvard.edu *Subject:* [Freesurfer] Fwd: mri_robust_template - MyMatrix::RotationMean Error
[△EXTERNAL]
Hi Andrew,
Sorry for the late response. I’m able to reproduce your error.
I have included Martin to the communication. He is the author of the program. He is going to take a look at your data.
Best,
Yujing
*From:*Andrew Beaudin abeaudin@ucalgary.ca *Sent:* Friday, November 25, 2022 3:25 PM *To:* Huang, Yujing YHUANG43@mgh.harvard.edu; Freesurfer support list freesurfer@nmr.mgh.harvard.edu *Subject:* RE: [Freesurfer] Fwd: mri_robust_template - MyMatrix::RotationMean Error
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Hi Huang,
Thank you very much for your help with this. Apologies for the delay.
You should be able to retrieve sample images from the following link (expires on Dec. 2). I have also included a brief word document at the link that includes some details of the nifti images.
https://secure-web.cisco.com/1u-XjnB7jp5aUY3P1eL9t3mjpEr4XAP3TY2U7XxL4Sk87YB... https://secure-web.cisco.com/1hstJ7MT7lbWknwArluI7lsJDpCaPEnPjFOntWZC705TN7hf2zZ6yi6kYZOC0uvnzY4lhzK3ZM6JenT-iUCVRXmGQD3uftAD8OYL8nRsUntQSgd62pdkysnwz7Ei0MpfFScbOiKSm0zYOh7orQWmOfvRZJYI8GvWgu9XtDcLuLHMfgMkdllTtYJdE5Ht3Rh2a17I1tqEXZCjpKzzl_Hdx6NaDHJPqGxeKLX0pSSO_LGk3WyZ7S3YL04EgD6GiMRV2KCYSn4mx2cLl7I06xdwOr9DxyUFAXoLsVoBpaUDi-KcISE065Vag1H-7HyUhCIAgQFmsEVYjvotyAmUOYZvUQw/https%3A%2F%2Fuofc-my.sharepoint.com%2F%3Af%3A%2Fg%2Fpersonal%2Fabeaudin_ucalgary_ca%2FEmL7JGE0J-BHpnRfqArO3OMBlcD4VPqRkUZKfsmKGeL2SQ
The command call I am using 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
However, while troubleshooting I have also tried the following with no success:
using the --iscale flag - same MyMatrix::RotationMean Error (see below for log)
using --inittp 0 - results in a 'Segmentation fault'
using --average 0 - same MyMatrix::RotationMean Error
using Freesurfer v7.2 - same MyMatrix::RotationMean Error
running mri_robust_template call on Catalina and Big Sur systems with FS v6.0 - same
MyMatrix::RotationMean Error.
Again, thank you for the help….and please let me know if your need any additional information or anything clarified.
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
*From:*Huang, Yujing YHUANG43@mgh.harvard.edu *Sent:* November 22, 2022 7:32 AM *To:* Freesurfer support list freesurfer@nmr.mgh.harvard.edu *Cc:* Andrew Beaudin abeaudin@ucalgary.ca *Subject:* RE: [Freesurfer] Fwd: mri_robust_template - MyMatrix::RotationMean Error
[△EXTERNAL]
Hi Andrew,
Can you send us some data to debug? The link has expired. Also, the command line that you are having trouble with.
Thanks.
Yujing
*From:*freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu *On Behalf Of *Andrew Beaudin *Sent:* Wednesday, June 29, 2022 10:45 PM *To:* freesurfer@nmr.mgh.harvard.edu *Subject:* [Freesurfer] Fwd: mri_robust_template - MyMatrix::RotationMean Error
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Hello Freesurfer Community, 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 (and attached as text file - line 188 is the MyMatrix message). If helpful, images can be download from the following link: *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://secure-web.cisco.com/1ls7wEdSjgde9hLJaZxLUAkONj1McFRg4sysDSThCpHQydC... https://secure-web.cisco.com/1FGQFgBoMNs00DgWtLCrKSIIdug6juLkb2Nu2KrASFJPZBjdCx_joSq08q6GYn899WbiMHITtkL3x-o5AHvRXbH-2JHAu0_Gw5aFmg9rIhsPy0Zu8zpryZYHjsE4umwwEylBRyd0TGNV3m-d5k9_IsQhRu2SYc6vj4WIaJ8F_q9uIcsgpX_QVuppEMG4lRVPp3RvveMfZRpMkehNDZJ_pJT9pje_N5viL2Zb7XZPRfaNnCKK7hTcevtyaKDqtmy85Rm2GqvtUB9vFnPFssxAMeZH7UBH2-8RQCzhCokbVocDQ7-m0q6rQ-kCKxQSNMpVdE3gMPmdjbjJ6vIqZ0RuPLkj9Labe95_FuZXUxmFfL8Y/https%3A%2F%2Fuofc-my.sharepoint.com%2F%3Af%3A%2Fg%2Fpersonal%2Fabeaudin_ucalgary_ca%2FEmL7JGE0J-BHpnRfqArO3OMBlcD4VPqRkUZKfsmKGeL2SQ%3Fe%3DlcovfR
Briefly: - the images are skull-stripped niftis and 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:
- using the --iscale flag - same result as shown below.
- using --inittp 0 - results in a 'Segmentation fault'
- using --average 0 - same result as shown below
- using Freesurfer v7.2 - same result as below
- 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
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