Bruce and others,
Are there any spatial filters applied during the segmentation process other than a bias field correction? For example, a spatially adaptive non-linear means filter (e.g VBM8)?
If not, do you think denoising filters will improve the accuracy and/or reduce manual editting?
Thanks.
Best Regards, Donald McLaren ================= D.G. McLaren, Ph.D. Postdoctoral Research Fellow, GRECC, Bedford VA Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Office: (773) 406-2464 ===================== This e-mail contains CONFIDENTIAL INFORMATION which may contain PROTECTED HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is intended only for the use of the individual or entity named above. If the reader of the e-mail is not the intended recipient or the employee or agent responsible for delivering it to the intended recipient, you are hereby notified that you are in possession of confidential and privileged information. Any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited and may be unlawful. If you have received this e-mail unintentionally, please immediately notify the sender via telephone at (773) 406-2464 or email.
Hi Don
there is a nonlinear offset filter (Fischl and Schwartz, 1999, IEEE PAMI) applied during the segmentation process internally, but no filtered images are ever written to disk. You can try it out with mri_nlfilter. In general I would rather incorporate the information in the filtering into the segmentation than have some black box run beforehand that the segmentation doesn't know about, but of course that's not feasible for every filter under the sun. Whether it will help or not probably depends a lot on the quality of the input data.
Let us know how it goes.
cheers Bruce
On Fri, 14 Oct 2011, MCLAREN, Donald wrote:
Bruce and others,
Are there any spatial filters applied during the segmentation process other than a bias field correction? For example, a spatially adaptive non-linear means filter (e.g VBM8)?
If not, do you think denoising filters will improve the accuracy and/or reduce manual editting?
Thanks.
Best Regards, Donald McLaren
D.G. McLaren, Ph.D. Postdoctoral Research Fellow, GRECC, Bedford VA Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Office: (773) 406-2464 ===================== This e-mail contains CONFIDENTIAL INFORMATION which may contain PROTECTED HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is intended only for the use of the individual or entity named above. If the reader of the e-mail is not the intended recipient or the employee or agent responsible for delivering it to the intended recipient, you are hereby notified that you are in possession of confidential and privileged information. Any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited and may be unlawful. If you have received this e-mail unintentionally, please immediately notify the sender via telephone at (773) 406-2464 or email. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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MCLAREN, Donald