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SPM Papers


Statistical Parametric Mapping


[SPM_1]


Written by members of the Wellcome Department of Imaging Neuroscience


Spatial registration and normalisation of images

Friston KJ, Ashburner J, Poline JB, Frith CD, Heather JD & Frackowiak RSJ (1995)
Human Brain Mapping 2:165-189


Abstract

This paper concerns the spatial and intensity transformations that map one image onto another. We present a general technique that facilitates non-linear spatial (stereotactic) normalisation and image realignment. This technique minimises the sum of squares between two images following non-linear spatial deformations and transformations of the voxel (intensity) values. The spatial and intensity transformations are obtained simultaneously, and explicitly, using a least squares solution and a series of linearising devices. The approach is completely noninteractive (automatic), non-linear and non iterative. It can be applied in any number of dimensions. Various applications are considered, including the realignment of functional MRI time-series, linear (affine) and non-linear spatial normalisation of PET and structural MRI images, the coregistration of PET to structural MRI and, implicitly, the conjoining of PET and MRI to obtain high resolution functional images.


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