The rise of new imaging techniques gives insights into many different
aspects of anatomy or functional activity. For a comprehensive analysis this heterogeneous
information has to be registered into the same spatial framework.
Multimodal alignment can be used to put these different image modalities
into spatial correspondence. Therefore methods for multimodal alignment
are an important field in medical image processing, notably in comparing
images of the human brain obtained by different image modalities such as
NMR and Positron Emission Tomography (PET).
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