Hi - BET2 has a very nearly identical algorithm to the original BET,
which has quantitation reported in a paper in the HBM journal - see
http://www.fmrib.ox.ac.uk/analysis/research/bet/
For a link to the reference and a related technical report.
Cheers, Steve.
On 22 Apr 2006, at 23:26, Cartik Sharma wrote:
> Hello,
>
>
>
> I’m trying to calculate the extracted brain surface using BET2 on
> whole brain mri data with different contrast/noise attributes.
>
> It seems like BET2 has a high rate of success for T1 weighted
> images which can be verified by visual examination.
>
> However I would like to know if:
>
> 1. The accuracy of BET2 has been quantified. For all successful
> extractions, how exactly does it match the brain surface.
>
> 2. Are there image parameters, signal to noise ratio/contrast which
> would tell us apriori that BET2 might not give good results.
>
> I found the information posted at http://www.fmrib.ox.ac.uk/fslfaq/
> #bet_notwork useful but am still looking for numbers.
>
>
>
> Much appreciated,
>
> Cartik
>
> Confidentiality Notice. The information contained in this
> communication is confidential and/or proprietary business or
> technical data. If you are not the intended recipient, you are
> hereby notified that any use, dissemination, copying or
> distribution of this communication is strictly prohibited. If you
> have received this communication in error, please immediately
> notify us by telephone (604) 472-2300, or electronically by return
> message, and delete or destroy all copies.
>
>
------------------------------------------------------------------------
---
Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
[log in to unmask] http://www.fmrib.ox.ac.uk/~steve
------------------------------------------------------------------------
---
|