Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation
hmm, that looks pretty bad. If you upload the subject we will take a look. It might be a residual bias field - what are the values of the white matter in the brain.mgz in those regions? On Sat, 23 Apr 2016, Ramtilak Gattu wrote: Hello Bruce, Thanks a lot for your earlier expert option suggestion in improving the segmentation during the recon process. I am attaching a snap shot where yellow is with expert options and red is with default options. My concern is where I have indicated with blue arrows . Could you please suggest why is it still failing to pick up those areas. Is it because of a) misregistration with the atlas (i) if so where can I find the results after the non linear registration and (ii) would it be possible to improve with any more expert options during the registration and the segmentation subsequently. b) or is it should be just changing the lower limit values for the WM and higher limit values for the GM. I am not sure which way to tune the values should I go low on WM values and go high on GM values. These are the actual values mri_segment -wlo 87.7 -ghi 103.3 mris_make_surfaces -min_gray_at_white_border 79.4 -max_border_white 109.3 -min_border_white 90 -max_csf 68.7 -max_gray 98.7 -max_gray_at_csf_border 84.7 -min_gray_at_csf_border 58.1 For example Should these be changed to mri_segment -wlo 80 -ghi 110 Thanks for your help in advance. Regards Tilak Thanks Regards Tilak From: Ramtilak Gattu Sent: Wednesday, March 30, 2016 4:26 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Thank you for recommending the expert options. I have run this on two subjects (rows) and you can see the post analysis results on the right (column) in the attached image . As you have mentioned it didnt work well in the cerebellum any other ways to improve in the inferior regions? Thanks Regards Tilak From: Ramtilak Gattu Sent: Monday, March 28, 2016 5:12 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Thank you, Attached is the scripts folder for one subject . Thanks Regards Tilak From: Ramtilak Gattu Sent: Monday, March 28, 2016 4:11 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Sorry, Actually just found out that the receiving coil is the 12 channel head coil and the transmitting coil is the body coil. I am attaching a snapshot showing the sag orientation of the three cases that I previously mentioned and uploaded for your review. >From these figures do you really think there is not enough contrast, just wondering 1) why it worked in the bottom image and it failed in the upper two (T1_sag_comparison.jpg) 2) it failed in the left image and did good in the right image (T1_sag_comparison_2.jpg). We have similar data in 25 of the subjects. Is there a way to salvage the existing data and improve our results we will certainly follow your input in changing the existing protocol and collect some data and run the analysis to see if it improves the results. One more thought is if is there any other way around to increase the contrast by taking help from T2 image and run recon-all. Do you think it will help? Thanks for you help . Regards Tilak From: Bruce Fischl Sent: Monday, March 28, 2016 11:22 AM To: Ramtilak Gattu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation what was the transmit coil? I think I would either reduce the voxel sizes a bit or not use grappa. Probably go to 1.2 mm or so, which would be a 70% increase in SNR. That won't help the transmit bias field though if you have one. The 8 channel can also sometimes be a problem. The 32 channel coils work much better On Mon, 28 Mar 2016, Ramtilak Gattu wrote: > Hey Bruce, > > The scans are done on 3T Siemens TRIO and 8 coil head channel with a GRAPPA of 2. > > Here is the screen shot of protocol used. > >https://waynestateprod-my.sharepoint.com/personal/ao3080_wayne_edu/_layouts /15/guestaccess.aspx?guestaccesstoken=VJ0QiLxUz9fI6GCUofGHq7IAQY6k4uG50U0ic 0zBkHE%3d&docid=034b186e0a218401590414fc271f3cf5f > > Thanks > > Regards > Tilak > > > > > From: Ramtilak Gattu > Sent: Sunday, March 27, 2016 3:23 PM > To: Bruce Fischl > Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation > > Hey Bruce, > > I have uploaded the files in > >https://waynestateprod-my.sharepoint.com/personal/ao3080_wayne_edu/_layouts /15/guestaccess.aspx?guestaccesstoken=0MdoYLvWY2ZYOdi983YqZtMFGMns%2b5WB6dN eC3osudU%3d&docid=000b5dcba90f2419e9bdf4ce77dfd7a
[Freesurfer] improving white/grey segmentation in recon -all for better volume estmation
Hello Bruce, Thanks a lot for your earlier expert option suggestion in improving the segmentation during the recon process. I am attaching a snap shot where yellow is with expert options and red is with default options. My concern is where I have indicated with blue arrows . Could you please suggest why is it still failing to pick up those areas. Is it because of a) misregistration with the atlas (i) if so where can I find the results after the non linear registration and (ii) would it be possible to improve with any more expert options during the registration and the segmentation subsequently. b) or is it should be just changing the lower limit values for the WM and higher limit values for the GM. I am not sure which way to tune the values should I go low on WM values and go high on GM values. These are the actual values mri_segment -wlo 87.7 -ghi 103.3 mris_make_surfaces -min_gray_at_white_border 79.4 -max_border_white 109.3 -min_border_white 90 -max_csf 68.7 -max_gray 98.7 -max_gray_at_csf_border 84.7 -min_gray_at_csf_border 58.1 For example Should these be changed to mri_segment -wlo 80 -ghi 110 Thanks for your help in advance. Regards Tilak Thanks Regards Tilak From: Ramtilak Gattu Sent: Wednesday, March 30, 2016 4:26 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Thank you for recommending the expert options. I have run this on two subjects (rows) and you can see the post analysis results on the right (column) in the attached image . As you have mentioned it didnt work well in the cerebellum any other ways to improve in the inferior regions? Thanks Regards Tilak From: Ramtilak Gattu Sent: Monday, March 28, 2016 5:12 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Thank you, Attached is the scripts folder for one subject . Thanks Regards Tilak From: Ramtilak Gattu Sent: Monday, March 28, 2016 4:11 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation Sorry, Actually just found out that the receiving coil is the 12 channel head coil and the transmitting coil is the body coil. I am attaching a snapshot showing the sag orientation of the three cases that I previously mentioned and uploaded for your review. >From these figures do you really think there is not enough contrast, just wondering 1) why it worked in the bottom image and it failed in the upper two (T1_sag_comparison.jpg) 2) it failed in the left image and did good in the right image (T1_sag_comparison_2.jpg). We have similar data in 25 of the subjects. Is there a way to salvage the existing data and improve our results we will certainly follow your input in changing the existing protocol and collect some data and run the analysis to see if it improves the results. One more thought is if is there any other way around to increase the contrast by taking help from T2 image and run recon-all. Do you think it will help? Thanks for you help . Regards Tilak From: Bruce Fischl Sent: Monday, March 28, 2016 11:22 AM To: Ramtilak Gattu Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation what was the transmit coil? I think I would either reduce the voxel sizes a bit or not use grappa. Probably go to 1.2 mm or so, which would be a 70% increase in SNR. That won't help the transmit bias field though if you have one. The 8 channel can also sometimes be a problem. The 32 channel coils work much better On Mon, 28 Mar 2016, Ramtilak Gattu wrote: > Hey Bruce, > > The scans are done on 3T Siemens TRIO and 8 coil head channel with a GRAPPA of 2. > > Here is the screen shot of protocol used. > > https://waynestateprod-my.sharepoint.com/personal/ao3080_wayne_edu/_layouts/15/guestaccess.aspx?guestaccesstoken=VJ0QiLxUz9fI6GCUofGHq7IAQY6k4uG50U0ic0zBkHE%3d&docid=034b186e0a218401590414fc271f3cf5f > > Thanks > > Regards > Tilak > > > > > From: Ramtilak Gattu > Sent: Sunday, March 27, 2016 3:23 PM > To: Bruce Fischl > Subject: Re: [Freesurfer] improving white/grey segmentation in recon -all for better volume estmation > > Hey Bruce, > > I have uploaded the files in > > https://waynestateprod-my.sharepoint.com/personal/ao3080_wayne_edu/_layouts/15/guestaccess.aspx?guestaccesstoken=0MdoYLvWY2ZYOdi983YqZtMFGMns%2b5WB6dNeC3osudU%3d&docid=000b5dcba90f2419e9bdf4ce77dfd7a5e > > I have also included the 001.mgz in there. > > Thanks > > Regards > Tilak > > > From: Bruce Fischl > Sent: Saturday, March 26, 2016 8:35 PM > To: Ramtilak Gattu > Subject: Re: [Freesurfer] imp
[Freesurfer] Postdoctoral Fellow in Machine Learning in Neuroimaging
Dear All, I am looking to hire a postdoc to develop machine learning algorithms for fMRI. Topics are flexible. Example topics include individual-subject brain parcellations, dynamic functional connectivity, meta-analysis, neural mass modeling, monkey-human homologies, mental disorder subtypes, etc. Other details below. Regards, Thomas Requirements: Ph.D. in computer science, electrical engineering, statistics, computational neuroscience or related fields. The successful applicant will work with an interdisciplinary team of computer scientists and neuroscientists, and must be willing to learn some neuroscience. Research Webpage: https://sites.google.com/site/yeoyeo02/home Compensation: Competitive and commensurate with experience Attraction: Perform ground-breaking research at the National University of Singapore (NUS), while enjoying the beautiful sceneries and cultures of South-East Asia. NUS is a research-intensive university consistently ranked among the top 30 universities in the world (http://en.wikipedia.org/wiki/National_University_of_Singapore#University_rankings). Contact: Email BT Thomas Yeo (ytho...@csail.mit.edu) with your CV. Deadline: Whenever the position is filled. ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
[Freesurfer] lh-WhiteSurfArea
Hello, In Freesurfer stats there is a feature named lh-WhiteSurfArea. where is exactly this WhiteSurfArea and how can I show it in freeview on surface or image? Kind Regards, Hassan ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
[Freesurfer] Coordinates of voxels in matlab
Dear all, So I am doing some matlab based analysis where I have to align several fmri volumes. To load the data from Freesurfer I used f = MRIread('filename.nii') where I have f.vol is the voxel intensity series. How is it possible to extract the [x,y,z] coordinates of the voxels from that structure to match the registered volume space? Thank you, Best, Mohamed =) ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
Re: [Freesurfer] hippo subfield segmentation new beta version (version 6)
Hi Barbara, Sorry for the late response. - the type of sequence does not matter much as long as the contrast between gray and white matter is good. - the resolution is important, because you need to be able to see the internal thin layer of white matter in the hippocampus to be able to infer its internal structure; otherwise, the segmentation of the internal boundarie will indeed be dominated by the prior knowledge, rather than the intensities. - the algorithm operates at 0.33mm (isotropic) resolution; the segmentation is provided both at that resolution and at 1mm isotropic (FS space); please see the details in the wiki: https://surfer.nmr.mgh.harvard.edu/fswiki/HippocampalSubfields If you send me the T2FLAIR and T2STIR images for a sample subject, I can take a look and give you more accurate answers ;-) Cheers, Eugenio Juan Eugenio Iglesias Postdoctoral researcher BCBL www.jeiglesias.com www.bcbl.eu Legal disclaimer/Aviso legal/Lege-oharra: www.bcbl.eu/legal-disclaimer From: "Barbara Kreilkamp" To: "Freesurfer support list" Sent: Friday, April 22, 2016 5:28:44 PM Subject: [Freesurfer] hippo subfield segmentation new beta version (version 6) Dear all, Would you please help me on this one? Thank you, best wishes, Barbara Forwarded Message Subject:hippo subfield segmentation new beta version (version 6) Date: Wed, 20 Apr 2016 11:45:02 +0100 From: Barbara Kreilkamp To: Freesurfer support list Dear all, I've been reading the manuscript on version 6 freesurfer hippocampal subfield segmentation "A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI" Can you please tell me if the type of sequence (e.g. coronal T2FLAIR vs T2STIR) and voxel sizes of .4x.4x2mm^3 vs .4x.4x4mm^3 really make a difference for this multi-modal algorithm? I previously ran recon-all on 1mm isotropic T1-w scans all with similar contrast. It seems that the mesh fitting in version 6 is driven by the relation of the subfields to each other rather than by contrast or signal intensities; and also I notice the algorithm brings everything to isotropic space anyway. Is this correct? Do you see a major methodological issue when using T2FLAIR (.4x.4x4mm^3) and T2STIR (.4x.4x2mm^3) subfield volumes together? Thank you very much, Best wishes, Barbara P.s. as a side-note, I've not noticed any major differences in subfield segmentations visually, when comparing segmentations via these two different T2 scans. ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail. ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.