Spatial normalization
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Spatial normalization is an image processingstep, more specifically an image registrationmethod.
Human brains differ in size and shape, and one goal of spatial normalization is to deform human brain scans so one location in one subject's brain scan corresponds to the same location in another subject's brain scan.
It is often performed in research-based functional neuroimagingwith multiple human subjects.
The brain scan can be obtained from magnetic resonance imaging(MRI) or positron emission tomography(PET) scanners.
There are two steps in the spatial normalization process:
- Specification/estimation of warp-field
- Application of warp-field with resampling
The estimation of the warp-field can be performed in one modality, e.g., MRI, and be applied in another modality, e.g., PET, if MRI and PET scans exist for the same subject and they are coregistered.
Spatial normalization typically employ a 3-dimensional nonrigid transformation model (a "warp-field") for warpinga brain scan to a template.
The warp-field might be parametrized by basis functions such as cosine and polynomia.
There are a number of programs that implements both estimation and application of a warp-field. It is a part of the SPMand AIRprograms.
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This article is licensed under the GNU Free Documentation License.
It uses material from the http://en.wikipedia.org/wiki/Spatial+normalization Wikipedia article Spatial normalization.
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