MEDx Frequently Asked Questions - Registration
Q: Registering Statistical Results with Anatomical Data
In most functional imaging studies the resolution of the functional image
data is much less than can be obtained with standard structural MRI imaging.
Further, statistical analysis of the functional data is typical performed
on the functional data in its original space to reduce the memory requirements.
To overlay statistical results on the anatomical image leads to the need
to register the statistical data with the anatomical data.
Since the statistical data does not contain sufficient anatomical information,
registering these results directly with the anatomical data will result
in a very poor registration. Instead, one of the functional images (EPI
or PET) or a mean of the registered functional images is registered to
the anatomical image. The resulting transformation can then be applied
to the statistical images. This method of applying the transformation
from a given registration to other images is referred to as Shadow Transforming.
The steps for doing this are as follows:
-
Use the AIR dialog box to register the functional image to the anatomical
image. The general AIR dialog box can be found under the Registration
menu in the toolbox. Since, the functional and anatomical image are
from the same subject you should use the Linear Algorithm and the
"6 parameter Rigid Body" model for this registration.
-
While viewing the result of the registration, choose "Save..." from
the "Shadow Transform" menu which is under the Transformation menu
in the toolbox. This will save the transform in a file. Simply enter
a filename where you want the transformation saved.
-
Goto the statistical image that you want to apply this transformation
to. Choose "Apply..." from the "Shadow Transform" menu. Now, select
the file that you saved the transformation in and for the Transform
type choose "MotionCorrectionReslice".
The application of this transformation will be place your statistical
image in the same space as your anatomical image.
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