Abstract
Multivariate image analysis (MIA) and multivariate image regression (MIR) techniques are useful tools in the extraction of information from magnetic resonance images. They aid the characterization of different tissues and can be used to describe their size and distribution. The obtained new information can be used to monitor growth, progression and effects of a treatment. The methodology is illustrated by a clinical example. The ongoing development of MIA and MIR, combining parameters from different imaging modalities, is commented on.
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