Dear Bruce and Christian,

I found the easy way of simply writing 'set cleanup = 0' at the 
beginning of mri_nu_correct.mni and then I run this command
mri_nu_correct.mni --i T2-scic/mri/orig/001.mgz --o nu.mgz --n 2

This way I get all the masks and iterations that were computed.

Now I also see that it generates as many folders as there are 
iterations, ending with nu2_field and nu2_est if there are two 
iterations. I see more files now and now I am thinking that the last 
output is nu2_field, which would be the bias field.
So this is why I did not divide anything by hand (also because my 
001.mgz and the nu.mgz do not have the same image dimensions) and the 
info about masked-out voxel would be missing in that case.

All the best and thanks.
Barbara


On 28/08/2014 14:46, Bruce Fischl wrote:
> Hi Barbara
> what exactly did you divide? If you look at the recon-all.log it will
> show the exact inputs and outputs of nu_correct.
>
> cheers
> Bruce
>
>
> On Thu, 28 Aug 2014, Barbara Kreilkamp wrote:
>
>> Dear Christian,
>>
>> Thanks a bunch for this answer. I ran all the steps you mentioned
>> (except for the one where I simply do uncorrected/corrected, as these
>> images have different dimensions, it seems nu3 does more than just
>> normalization of intensities, but also image cropping). Do you know
>> anything about the image cropping?
>>
>> I ended up with the output nu1_mask and nu1_est and I think the last one
>> is the bias field, at least it looks very much like one :). Am I right?
>>
>> Thanks for your help,
>> Barbara
>>
>>
>> On 27/08/2014 22:53, Christian Thode Larsen wrote:
>>> Hi Barbara,
>>>
>>> I'm not aware of any way that you can do it directly by passing
>>> arguments to recon-all (some might correct me on that), but it is possible:
>>>
>>> 1) As N3 models the bias as a multiplicative effect uncorrected =
>>> corrected * bias, the simplest way is to divide each voxel of the volume
>>> before and after correction, in order to obtain a volume containing the
>>> bias. Note that N3 (by default) works within a mask where low-intensity
>>> voxels have been thresholded away. These voxels will contain garbage if
>>> you divide all voxels in the volume.
>>>
>>> 2) Somewhat more complicated: you can specify the -keeptmp flag combined
>>> with -tmp SOMEDIR/ (remember the trailing slash) to N3, in order to
>>> preserve its working files. This requires you to modify the N3 binary
>>> call in the mri_nu_correct.mni script. You also need to convert the mnc
>>> files from the tmp dir, so that you can work with the volumes.
>>>
>>> 3) if you do 2), you also get hold of the low-intensity voxel mask that
>>> N3 operates within. You can use this to constrain the division mentioned
>>> in 1).
>>>
>>> Best,
>>> Christian
>>>
>>> On 8/27/2014 11:18 PM, Barbara Kreilkamp wrote:
>>>> Dear all,
>>>>
>>>> Is there a way to output the N3's (non-parametric normalization step)
>>>> output?
>>>> I am interested in the bias field that was computed to correct the image
>>>> intensities.
>>>>
>>>> Thank you for your help,
>>>> Barbara
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