[MINC-users] Jacobian-modulated Resampling

[Alex Zijdenbos]

Hi Jason,

mincresample will deform, but not modulate - the idea being to
modulate the resampled data using the Jacobian determinant of the
deformation (signal increases or decreases under
compression/expansion).

Vlad's script does the right thing it seems, although to classified
data - but same idea.

I've often wondered if this actually shouldn't be an option to
mincresample; but I suspect that might go against Peter's  original
concept of "pure" resampling (by the same token mincresample doesn't
blur when downsampling).

-- A

On Tue, Sep 17, 2013 at 3:00 PM, Vladimir S. FONOV
<vladimir.fonov at gmail.com> wrote:
> Hello,
>
> I suppose this code will do the trick for optimized VBM:
> https://github.com/vfonov/bic-pipelines/blob/master/bin/pipeline_smooth.pl
>
>
>
> On 13-09-17 02:35 PM, Jason Lerch wrote:
>>
>> I for one don't understand the question. To me the answer to the question:
>>>
>>> a script that takes a volume and an xfm as input, and
>>> outputs a deformed/modulated volume.
>>
>>
>> is mincresample, but I must be missing something …
>>
>> Jason
>>
>> On 2013-09-17, at 12:07 PM, Andrew Wood <andrew at biospective.com> wrote:
>>
>>> Hi All,
>>>
>>> I'd like to study the effects of modulating data that goes though
>>> non-linear spacial normalization. Before I possibly reinvent the wheel,
>>> does anybody know of code out there that turns the process into a black
>>> box? I can imagine a script that takes a volume and an xfm as input, and
>>> outputs a deformed/modulated volume.
>
>
>
> --
> Best regards,
>
>  Vladimir S. FONOV ~ vladimir.fonov <at> gmail.com
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