Freesurfer

freesurfer@nmr.mgh.harvard.edu

30132 discussions

Freeview error: GLXBadContext
by Duvnjak, Aleksandar 11 Mar '20

11 Mar '20

External Email - Use Caution Dear FreeSurfer experts, Version: Freesurfer version 6.0 Platform: Ubuntu 14.04 (Via a Windows 10 PC) Upon completion of our first FreeSurfer job, in which we ran an array on ~50 subjects, we have tried to view the basic outputs (e.g. T1.mgz) using both freeview -v and FSLview. Upon running freeview -v, the app opens but shows no discernible image (see screengrab below). Upon exiting the viewing platform the command line reads: X Error: GLXBadContext 150 Extension: 143 (Uknown extension) Minor opcode: 5 (Unknown request) Resource id: 0x8000c8 I have found reference to this error in the archives at: https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg30865.html and much like with this original query, we are running freeview remotely via a high-performace-computing system, and when we type glxgears at the command line spinning gears do popup. Furthermore, (and although this does not relate directly to Freesurfer, it may provide additional useful information) upon trying to view the same T1.mgz file with FSLview rather than freeview we receive the message "missing header/image file" within the viewer but no error in the command line. We appreciate this may be a simple solution, however as it is our first time running FreeSurfer, it is difficult to know how to proceed. I have attached the recon-all report log for the subject attempting to be viewed in the screengrab below. [cid:dc363bf5-90e3-4318-820f-38416df60417] Kind regards, Aleks Duvnjak

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Initializing FreeSurfer's recon-all with rigid registration
by Yeun Kim 11 Mar '20

11 Mar '20

External Email - Use Caution Hi, How do I concatenate the resulting recon-all transform with another rigid transform to produce a single transform? I have the aseg.nii.gz (generated from the T1w image in T1w space) output label in the atlas space and I would like to transform this label into the same subject's T2w space. I am aware there is a transform that moves the image from atlas to T1w native space (although I'm not quite sure of the specific file names of the transforms, only the command mri_label2vol). I have the transformation from the rigid registration between T1w and T2w (T1w moving to T2w space) and would like to concatenate the atlas-to-T1 transform with T1-to-T2 transform to reduce the amount of error caused by resampling (since the labels are in discrete integers). Thank you in advance, Yeun

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Problem with MP2RAGE data: correcting defects
by Abraham Y 11 Mar '20

11 Mar '20

External Email - Use Caution Dear FreeSurfer developers, I'm trying to apply Fujimoto's pipeline to reconstruct surfaces of MP2RAGE structural images. Citation: John R.Giudicessi, BA.Michael J.Ackerman., 2013. (2008). NIH Public Access. Bone, 23(1), 1–7. https://doi.org/10.1038/jid.2014.371 The MP2RAGE sequence generates several images: a UNI or flat image (T1w but with amplified noise outside the brain), a proton density image, and other images. To be able to run freesurfer on the flat image, Fujimoto invokes freesurfer two times and then stops them immediately after the brain masking step: the primary stream (input: the flat image) and the secondary stream (the multiplicative product of the flat image and the proton density, which removes the noise). Then, the brain mask generated during the primary stream is replace by the mask generated during the secondary stream, and the primary stream is resumed. I implemented this as follows: - run 'recon-all -s X -i Y -autorecon1' for the primary and secondary streams - copy the brainmask.mgz file of the secondary stream to the primary stream (and replace the file) - resume the primary stream with 'recon-all -s X -autorecon2 -autorecon3) The problem with this last step is that it gets stuck at correcting defects (eg: CORRECTING DEFECT 0). Sometimes it adds "Xl defect detected". Each of these corrections takes several days to run and this is not practical for our research. Any ideas on how I could fix this? I have attached a recon-all.log file (I stopped the process because it takes too long). FS version: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c OS: Ubuntu 18.04.2 LTS

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Group analysis with qdec: qcache change this?
by Miguel Ángel Rivas Fernández 11 Mar '20

11 Mar '20

External Email - Use Caution Dear freesurfer experts, Before running group analysis in qdec is necessary run the qcache command over all subjects but, does this command change some segmentation file (eg. rh/lh Pial or white surface) or other importants file? We would also like to perform external analysis using the output metrics obtained with the recon-all. This is why we want to know if we can safely use this command without affecting any segmentation measure. Thanks in advance Best regards,

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question about sig.mgh
by 邓刊 11 Mar '20

11 Mar '20

External Email - Use Caution Dear freesurfer experts, I have analyzed intra-group differences in cortical thickness using QDEC. It generated the file sig.mgh. 1.I want to know what does the sig.mgh mean? Which p value and the cluster size this file present? 2.when I clicked the button Monte Carlo simulation (p<0,05) and listed in the qdec output file "mc-z.abs.th20.abs.sig.cluster.summary". However,there is no cluster in the file.Dose that mean there is no significant difference between two groups? I have attached the contents of the output file and a screenshot of the display window of QDEC. Thank you in advance for your help.

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aparc a2009s stats ROI names don't match ColorLUT for FS 6.0
by Don Hagler 10 Mar '20

10 Mar '20

External Email - Use Caution I have recently started using FreeSurfer 6.0 after previously working with 5.3 for several years. I found that the lh.aparc.a2009s.stats files use different ROI names (e.g., G&S_frontomargin) than they did in FS5.3 (G_and_S_frontomargin). However, the FreeSurferColorLUT.txt file still has the old names. What caused the ROI names to change for the a2009s.stats files? Was the ColorLUT supposed to have been updated but wasn’t? Where do those shorter names come from? Is there already a mapping file for the different versions of the names? Because some of the parcel names in the stats files no longer match the LUT, my existing code for compiling FreeSurfer results fails to load the results for those ROIs with new names. I think I can find a work-around for this, such as using a mapping file or a renaming rule applied to the a2009s stats ROI names, before matching to the LUT. But I thought I would email this list to raise the issue. I searched the archives and didn’t see something similar, so maybe no one else tries to match those names to the LUT.

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Neuroimaging programmer job opening at Mayo Clinic
by Senjem, Matthew L., M.S. 10 Mar '20

10 Mar '20

External Email - Use Caution The Mayo Clinic Aging and Dementia Imaging Research Lab is an international leader in studies of Alzheimer's Disease and Related Dementias. IT staff from the Research Application Solutions (RAS) Unit provide data management and processing expertise in support of that role. RAS has an opening for a highly capable person to further advance image processing within the lab. This includes developing new, or improving existing, methods to extract quantitative biomarkers from medical images and the integration of those methods into robust automated pipelines. Development is done in a collaborative environment that includes physicians, PhD scientists, biostatisticians and medical physicists. Candidates interested in this position must have a background in image processing and mathematical computation. Clear communication skills, both oral and written, as well as demonstrated desire for continuous learning are essential. Ideally, candidates will have experience developing automated medical image processing pipelines and a fundamental understanding of medical imaging modalities including MRI and PET. Experience with both cross-sectional and longitudinal analyses is desired. Initial areas of work for the successful applicant will, depending on existing skills and interests, be improved functional MRI analysis or multi-modal PET/MRI fusion. Experience coding in Python and/or Matlab is required. Fluency in the DICOM imaging standard is desired. Applicants should have experience developing version-controlled software in a Linux-based environment. Experience with distributed computation using resource management systems such as slurm or open grid engine will be helpful. Linux system administration experience is considered a plus. For more information and to apply, please visit the following link: https://apply.mayoclinic.org/TGnewUI/Search/Home/Home?partnerid=25309&sitei…

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freeview failed to load Surface overlay
by Meike Hettwer 09 Mar '20

09 Mar '20

External Email - Use Caution Dear freesurfer experts, I am currently running a very basic correlation with two groups (gender, which I am not interested in), age and genetic scores (the latter of which I am interested in) included in the glm. Atm I am using a DODS model (0 0 0 0 0.5 0.5), however, as I am actually not at all interested in gender differences...would it be smarter to use a DOSS model? (0 0 1 ?). And a question regarding freeview: I always get "failed to load Surface overlay"/"could not open file" errors when trying to overlay calculated sig.mgh (or beta.mgh or pretty much anything) on the fsaverage.inflated surface. From these error messages I cannot really spot the issue- I guess it might be some kind of matrix dimension mismatch? Which confuses me, as I resampled the data to the fsaverage brain...? I ran: 1. mris_preproc --fsgd 1234.fsgd --cache-in thickness.fwhm10.fsaverage --target fsaverage --hemi lh --out lh.1234.10.mgh 2. mri_glmfit --y lh.1234.thickness.10.mgh --fsgd 1234.fsgd --C 1234.mtx --surf fsaverage lh --cortex --glmdir lh.1234.glmdir --> freeview -f $SUBJECTS_DIR/fsaverage/surf/lh.inflated:overlay=sig.mgh When I launch freeview and try to overlay sig.mgh manually, I get "Correlation data does not match with surface". Does this have something to do with the "apply registration option" and if so, what would I have to select here? (since the data should already be registered to fsaverage...?). Thanks a lot, Meike

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Query regarding FA quantification in ROI
by Puneet Talwar 09 Mar '20

09 Mar '20

External Email - Use Caution Dear Freesurfer team, I have done FA quantification in brainstem substructures using two ways and got slightly different results. First, I used dMRI Data Analysis Processing Stream with the following steps (after brainstem segmentation followed by dt_recon) - (https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/DiffusionV6.0) dt_recon - mri_vol2vol - masking - mri_segstats using FreeSurferColorLUT.txt In the second approach, I used vol2subfield after brainstem segmentation followed by dt_recon. dt_recon - vol2subfield Which one is more accurate for FA quantification? Thanks and Regards, Puneet -- Puneet Talwar, PhD Postdoctoral Fellow Seep and Chronobiology Lab B30 - Research Center Du Cyclotron University department in Liège, Belgium Email: ptalwar(a)uliege.be <agitude(a)uliege.be>

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fMRI resting state on mice
by Mohamed Ali Bahri 08 Mar '20

08 Mar '20

External Email - Use Caution Dear Experts, I would like to do some resting state and DWI (tractography) on mice and I am wondering if there is a detailed procedure for the processing of these small sized data? Any suggestion, advice will be very welcome, Best regards, Bahri -- Dr. Mohamed Ali Bahri, Logisticien de recherche principal, GIGA-Cyclotron Research Centre: In Vivo Imaging, Quartier Agora Université de Liège Bât B30 Allée du 6 Août n°8 4000 Liège, Belgique m.bahri(a)uliege.be 04 366 23 04

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