External Email - Use Caution Dear Miguel,
sorry that I forgot to attach the link to the abstract. You can find it here: http://archive.ismrm.org/2018/2834.html Best, Falk Von: freesurfer-boun...@nmr.mgh.harvard.edu [mailto:freesurfer-boun...@nmr.mgh.harvard.edu] Im Auftrag von Miguel Ángel Rivas Fernández Gesendet: Freitag, 12. Oktober 2018 14:18 An: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu> Betreff: Re: [Freesurfer] denoising and recon-all {Disarmed} External Email - Use Caution Dear Falk, I tried to search your poster presentation in the 2018 ISMRM web but unfortunately I did not find it. Can you attach the link? I would be interested in this information and how to proceed. Thanks in advance, Best, El vie., 12 oct. 2018 a las 13:59, Falk Lüsebrink (<falk.luesebr...@ovgu.de<mailto:falk.luesebr...@ovgu.de>>) escribió: External Email - Use Caution Dear Lisa, what you potentially can do is to use the denoised surface (*h.white) as a starting point (instead of *h.orig) in the unfiltered stream. This should remove any bias introduced by the denoising, however, you should gain the advantages of denoised surfaces, e.g. less need for manual intervention, less topological defects, etc. I had a poster presentation for this method at last ISMRM. Best, Falk Von: freesurfer-boun...@nmr.mgh.harvard.edu<mailto:freesurfer-boun...@nmr.mgh.harvard.edu> [mailto:freesurfer-boun...@nmr.mgh.harvard.edu<mailto:freesurfer-boun...@nmr.mgh.harvard.edu>] Im Auftrag von Lisa Crystal Krishnamurthy Gesendet: Donnerstag, 11. Oktober 2018 19:07 An: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>> Betreff: Re: [Freesurfer] denoising and recon-all {Disarmed} External Email - Use Caution The ONLM denoising algorithm in the following package: (MailScanner has detected a possible fraud attempt from "na01.safelinks.protection.outlook.com" claiming to be https://sites.google.com/site/pierrickcoupe/softwares/denoising-for-medical-imaging<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fsite%2Fpierrickcoupe%2Fsoftwares%2Fdenoising-for-medical-imaging&data=02%7C01%7Clkrishnamurthy%40gsu.edu%7Cadf6338b011843f3549d08d62f89e5d0%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C636748666676225518&sdata=F0mfd%2B63mdYPHplRq4jcjz9FuSvE2nUxMxqDlFfIZB4%3D&reserved=0>) Best, -Lisa From: freesurfer-boun...@nmr.mgh.harvard.edu<mailto:freesurfer-boun...@nmr.mgh.harvard.edu> [mailto:freesurfer-boun...@nmr.mgh.harvard.edu] On Behalf Of Glasser, Matthew Sent: Thursday, October 11, 2018 12:39 PM To: Freesurfer support list Subject: Re: [Freesurfer] denoising and recon-all External Email - Use Caution What are you using for denoising? Matt. From: <freesurfer-boun...@nmr.mgh.harvard.edu<mailto:freesurfer-boun...@nmr.mgh.harvard.edu>> on behalf of Lisa Crystal Krishnamurthy <lkrishnamur...@gsu.edu<mailto:lkrishnamur...@gsu.edu>> Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>> Date: Thursday, October 11, 2018 at 11:05 AM To: "freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>" <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>> Subject: [Freesurfer] denoising and recon-all External Email - Use Caution Hi, I have found that denoising the MPRAGE prior to FS recon-all seems to improve the segmentation (see attached pdf). However, it is not clear if the denoising algorithm may cause some signal intensity changes (especially in voxels with partial voluming at the edge of the brain) that violate assumptions of recon-all. Could you help me understand what the assumptions of your algorithm are, and what I need to do to make sure my images conform to those assumptions? Your help is greatly appreciated. Best, -Lisa ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Miguel Ángel Rivas Fernández
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
