Freesurfer December 2017

freesurfer@nmr.mgh.harvard.edu

107 participants
172 discussions

Extract single time frame
by Rockers, Elijah D. 16 Oct '22

16 Oct '22

Hello again, I have a large time series in dicom or .nii format. I am interested in extracting a single time frame from it. I did this before, I believe with freesurfer, but I have somehow forgot the name of the command, and I can't seem to find it. I believe it could be used to specify particular regions of the volume, as well as time. I need the entire volume, still, but only one frame. Thanks in advance! Eli Houston Methodist. Leading Medicine. Ranked by U.S.News & World Report as one of America's "Best Hospitals" in 11 specialties. Named to FORTUNE® Magazine's "100 Best Companies to Work For®" list 10 years in a row. Designated as a Magnet hospital for excellence in nursing. Visit us at houstonmethodist.org. Follow us at twitter.com/MethodistHosp and www.facebook.com/HoustonMethodist. ***CONFIDENTIALITY NOTICE*** This e-mail is the property of Houston Methodist Hospital and/or its relevant affiliates and may contain restricted and privileged material for the sole use of the intended recipient(s). Any review, use, distribution or disclosure by others is strictly prohibited. If you are not the intended recipient (or authorized to receive for the recipient), please contact the sender and delete all copies of the message. Thank you.

4 4

group analysis of large data sets
by Wang, Xin 22 Apr '20

22 Apr '20

Hello, FreeSurfer Group, What is the maximal matrix size for glm_fit process? How to use FreeSurfer for group analyses of more than 2000 subjects, 128 variables, and 128 Classes? Thank you. Xin

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Course in Advanced Neuroimaging (Barcelona)
by Erick Canales 20 Sep '19

20 Sep '19

Dear colleagues, I am pleased to announce our upcoming Course in Advanced Neuroimaging held annually in Barcelona. It takes a practical approach and does not require qualifications or previous experience in neuroimaging. It will be taught in Spanish. The multidisciplinary programme provides thorough training in the analysis of brain images from different MRI modalities and data modeling techniques, including voxel-based morphometry, cortical thickness, diffusion tensor imaging, fibre tracking, functional MRI and brain connectivity, as well as the statistical methods behind these techniques including elements of meta-analysis, and more. The course consists of a five-month online theoretical module (starting on November 6th) and a period of practical face-to-face training (split between two days in November and two weeks at the end of April) held in Barcelona. For further information, please visit the website: www.cursoneuroimagen.com Best regards, Erick J. Canales-Rodríguez Joaquim Radua Raymond Salvador Edith Pomarol-Clotet FIDMAG Research Foundation and Sociedad Española de Neuroimagen *www.fidmag.com <http://www.fidmag.com/>*

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DKT vs. DK Freesurfer atlases
by Gabor Perlaki 11 Jan '19

11 Jan '19

Dear all, I've found an article comparing DK and DKT atlas based automatic segmentations to manual labels (Klein and Tourville, Front Neurosci. 2012; 6:171, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514540/) It seems that using DKT40 works better than DK in most of the cortical regions (based on Dice). Does anybody know that the DKTatlas related results created by Freesurfer (e.g. aparc.DKTatlas+aseg.mgz, lh.aparc.DKTatlas.stats) are based on the same DKT40 atlas used in the article and whether the DKT40 atlas related results were also created by Freesurfer in the article by Klein and Tourville? Are the Freesurfer created results in lh.aparc.DKTatlas.stats generally more reliable than the results in lh.aparc.stats? -- Gabor Perlaki research associate Diagnostic Center of Pécs H-7623 Pécs, Rét str. 2. Tel.: 0036-30-2084367 E-mail: petzinger.gabor(a)gmail.com

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Longitudinal stream : LME and limits of model
by Matthieu Vanhoutte 14 Dec '18

14 Dec '18

Dear Freesurfer’s experts, I would have some questions regarding the LME model to be used in longitudinal stream: 1) Which are the ratio limits or % of missing timepoints accepted ? (according time, I have less and less subjects time points) 2) Is it possible to include patients that would miss the first timepoint but got the others ? 3) Considering a group in longitudinal study, which is the number of subjects minimal of this group accepted for LME modeling ? 4) Finally, concerning quality control and among a big number of total time points, which essential controls are necessary ? (Control of norm.mgz of the base, alignment of longitudinal timepoints on base,… ?) Best regards, Matthieu

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Cortical Parcellations in individual space using Yeo et al 2011
by Bailin, Emma 24 Oct '18

24 Oct '18

Hello, I'm preparing to do resting state analyses and I'd like to use the Yeo 2011 network atlas for the cortical parcellations. Looking through the archive, I know that mri_surf2surf with the -sval-annot flag can be used to convert the fsaverage from the Yeo et al 2011 study to an individual subject space, but I noticed a caveat to this when I called mri_surf2surf -help. The caveat is on example 5: "this is not a substitute for running the cortical parcellation! The parcellations that it maps to the new subject may not be appropriate for that subject." Given this information, I've got a few questions: 1) How accurate is the mapping using mri_surf2surf? That is, is it good for preliminary data, but not for the final analysis? 2) How do you run the cortical parcellation using the Yeo 2011 atlas? [I know that mris_ca_train and mris_ca_label exist, but I'm unsure if they are the right commands to run when I'm not building my own atlas] 3) If I do the cortical parcellations using the Yeo 2011 atlas, will the edits/labels I've done using the Desikan atlas remain accurate? This goes back to the second question, as I'm not sure where in the general processing stage I need to go. Thank you! Sincerely, Emma Bailin Emma Bailin Research Coordinator Laboratory for Visual Neuroplasticity Schepens Eye Research Institute Mass. Eye and Ear Infirmary Harvard Medical School Mass. Eye and Ear Confidentiality Notice: This e-mail and any files transmitted with it are confidential and are intended solely for the use of the individual(s) addressed in the message above. This communication may contain sensitive or confidential information. If you are not an intended recipient, dissemination, forwarding, printing, or copying of this e-mail is strictly prohibited. If you believe you have received this e-mail in error and the email contains patient information, please contact the Mass. Eye and Ear Compliance Line at 844-815-4401. If the e-mail was sent to you in error but does not contain patient information, please contact the sender and delete the e-mail.

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Yeo 2011 Functional Cortical Parcellations
by Bronwyn Overs 24 Oct '18

24 Oct '18

Hi Mailing List, I am attempting to apply the Yeo 2011 7-network fucntional parcellations to a set of fs MRIs processed with v5.1.0. Below are listed the first three steps I plan to take and I am seeking advice as to: A) Whether this approach is valid. B) Steps to take next. * Steps 1-3: * *1. Run MNI152 1mm template through recon-all* recon-all -i FSL_MNI152_FreeSurferConformed_1mm.nii -subjid Yeo2011_MNI152_FS recon-all -all -subjid Yeo2011_MNI152_FS *2. Warp the Yeo_atlas1mm.nii.gz to freesurfer nonlinear volumetric space* mri_vol2vol --mov Yeo2011_7Networks_MNI152_FreeSurferConformed1mm_LiberalMask.nii --s Yeo2011_MNI152_FS --targ $FREESURFER_HOME/average/mni305.cor.mgz --m3z talairach.m3z --o Yeo2011_atlas_FSI.nii.gz --nearest *3. warp the Yeo_atlas_freesurfer_internal_space.nii.gz to each subject:* mri_vol2vol --mov $SUBJECTS_DIR/subjID/mri/norm.mgz --s subjID --targ Yeo2011_atlas_FSI.nii.gz --m3z talairach.m3z --o Yeo2011_atlas_subjID.nii.gz --nearest --inv-morph When previously mapping the Choi 2012 straital parcellations, steps 4 and 5 were: 4. *Creating a striatal mask in the native subject's space from freesurfer segmented Caudate (11 & 50), Putamen (12 & 51), and Accumbens (26 & 58)*: mri_binarize --i subjID/mri/aparc+aseg.mgz --match 11 --match 12 --match 26 --match 50 --match 51 --match 58 --o striatum_mask.nii.gz *5. **Using this mask to mask the choi striatal parcellations* fslmaths Choi2012_atlas_subjID.nii.gz -mas striatum_mask_subjID.nii.gz Yeo_atlas_subjID_mask.nii.gz Do I need to do a similar thing for the Yeo cortical parcellations and if so what regions should I include in the cortical mask? -- Kind regards, Bronwyn Overs Research Assistant Neuroscience Research Australia Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1883 neura.edu.au <http://neura.edu.au> Follow @neuraustralia on twitter <https://twitter.com/neuraustralia>Follow NeuRA on facebook <https://www.facebook.com/NeuroscienceResearchAustralia>Subscribe to the NeuRA Magazine <http://www.neura.edu.au/help-research/subscribe>

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Morphing Buckner2011 MNI152 to subject's space {Disarmed}
by Peled, Noam 05 Oct '18

05 Oct '18

Dear group, I'm trying to morph the Buckner2011<http://www.freesurfer.net/fswiki/CerebellumParcellation_Buckner2011> cerebellum segmentation map from MNI152 to subject's space: mri_vol2vol --mov subjects/sub01/mri/norm.mgz --s sub01 --targ Buckner2011_17Networks_MNI152_FreeSurferConformed1mm_LooseMask.nii.gz --m3z talairach.m3z --o sub01_Buckner2011_atlas_17_loose.nii.gz --nearest --inv-morph It worked with the 17 networks, but didn't work with the 7 networks version. Any ideas? This is really strange. Thanks, Noam

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freeview problem on Linux RHEL 7-4 libGLU.so.1
by Avner Meoded 01 Oct '18

01 Oct '18

Hello all, I installed the latest version for Linux I get this message when trying to run an example: "freeview.bin: error while loading shared libraries: libGLU.so.1: cannot open shared object file: No such file or directory" I installed the missing library and now it is in /usr/local/fsl/bin/FSLeyes/libGLU.so.1 any idea ho to solve this problem Thanks avner

2 1

mri_glmfi-sim multi-thread
by Dowling, Kevin Francis 08 Apr '18

08 Apr '18

Dear Freesurfer Experts, My apologies for what might be a very simple question, but I have been unable to locate an answer in the archives/wiki. Our group is trying to cut down on our mri_glmfit-sim time (as we are hoping to run mri_glmfit-sim -sim mc-full, rather than -sim mc-z). I know that --bg will split up the larger number of simulations into n background jobs, but I also noted the warning that this option is not to be used on the Martinos launchpad computational cluster. As we are hoping to find a way to use launchpad, I was wondering if mri_glmfit-sim is multi-threaded (or can be multi-threaded similar to -parallel flag in recon-all)? We are currently running Freesurfer 5.3, but can move up to 6.0 if needed. (Our specific command is: mri_glmfit-sim --glmdir $SUBJECTS_DIR/.../glmdir --sim mc-full 2.3 1000 mcfull1000_2.3 --sim-sign abs --cwpvalthresh .05) Thank you in advance for your help! Kind regards, Kevin Kevin F. Dowling Clinical Research Coordinator Brain Genomics Laboratory Division of Psychiatric Neuroimaging Martinos Center for Biomedical Imaging Massachusetts General Hospital 149 13th Street Charlestown, MA, 02129 (p) 617.643.3215

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Freesurfer December 2017