Hi Pascal

yes, that is the right command line. I don't know if you will need more control points, but that helped a lot. -a specifies the intensity threshold above 110 and -g specifies the spatial gradient for the 1d normalization
cheers
Bruce

On Fri, 3 Feb 2017, Pascal Goodman wrote:

Hello Bruce, Thank you very much.
a) The mri_normalization command line is where control points starts 
(normalization2). Right?
b) Also, is this right command " mri_normalize -mprage -b 20 -aseg 
aseg.presurf.mgz -mask brainmask.mgz
norm.mgz brain.mgz"?
c) Do I need any other flag besides -b?
d) I don't need to make the manual control point edits right? 
e) Lastly, what does -a (float a) and -g (float g) mean? 
Cheers, 
Pascal

On Fri, Feb 3, 2017 at 2:14 PM, Bruce Fischl <[email protected]> wrote:
      HI Pascal

      I got significantly improved results using -b 20 on the mri_normalize 
command line. Note
      that this has to come after the mprage. I think you can do it with an 
expert options file
      with:

      mri_normalize -b 20

      cheers
      Bruce

      On Fri, 3 Feb 2017, Pascal Goodman wrote:

            Hello Bruce, I sent it. 
            Pascal

            On Fri, Feb 3, 2017 at 11:26 AM, Bruce Fischl 
<[email protected]>
            wrote:
                  https://surfer.nmr.mgh.harvard.edu/fswiki/FtpFileExchange

                  tar and gzip an example subject directory and send us the 
voxel coords of
            points you want us
                  to look at

                  cheers
                  Bruce
                  On Fri, 3 Feb 2017, Pascal Goodman wrote:

                        Thanks bruce. Do I upload the entire file? Also,where 
can I find the
                        link? Pascal

                        On Fri, Feb 3, 2017 at 10:35 AM, Bruce Fischl
            <[email protected]>
                        wrote:
                              Hi Pascal

                              I don't think tissue priors will help due to the 
complexity
            and
                        variability of the folding
                              patterns. There may be other interventions though 
- can you
            send us some
                        examples of where
                              things don't look accurate to you?

                              cheers
                              Bruce


                              On Fri, 3 Feb 2017, Pascal Goodman wrote:

                                    Hello Bruce, Thanks for replying. I am 
trying find ways
            to improve
                        white matter
                                    surface (to reduce
                                    manual intervention by control points) with 
the
            probability map.
                        Also, how do I
                                    extract the multiple
                                    prior maps you mentioned. Thank you. 
                                    Best, 
                                    Pascal

                                    On Fri, Feb 3, 2017 at 10:22 AM, Bruce 
Fischl
                        <[email protected]>
                                    wrote:
                                          Hi Pascal

                                          what are you trying to achieve? 
Internally we have
            multiple
                        prior maps of
                                    this type, but I
                                          don't think we are setup for a user 
to supply a
            different one

                                          cheers
                                          Bruce

                                          On Fri, 3 Feb 2017, Pascal Goodman 
wrote:

                                                Hello Freesurfer, I do have a 
question. Can
            FS take
                        probability maps
                                    of  tissue
                                                segmentation as prior? 
                                                Thanks, 
                                                Pascal



                                    
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