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A theory and technique are presented that allow nonlinear resampling of positron emission tomography data to remove nonlinear differences in brain shape. The resampling is determined empirically by a function relating the observed image and a desired template. The validity, reliability, and precision of the plastic transformation are compared with linear rescaling alone, within, and between subjects.
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Karl Friston
Wellcome Centre for Human Neuroimaging
Chris Frith
Boston University
Peter F. Liddle
Western University
Journal of Computer Assisted Tomography
Hammersmith Hospital
Charing Cross Hospital
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Friston et al. (Mon,) studied this question.
synapsesocial.com/papers/6a08ba3e9a6c4ba6e610d415 — DOI: https://doi.org/10.1097/00004728-199107000-00020