Abstract #3721
Adaptive Averaging of Non-Identical Image Series in the Wavelet Space
Henrik Marschner 1 , Andr Pampel 1 , and Harald E. Mller 1
1
Nuclear Magnetic Resonance, Max Planck
Institute for Human Cognitive and Brain Sciences,
Leipzig, Sachsen, Germany
We investigate a novel averaging approach for MRI series
that does not rely on repetitions of an image. The
principle is based on complex averaging but translated
into the wavelet space where conservation of signals is
possible that are not meant to be averaged out. The
novel averaging is applied for a qMTI experiment which
consists of a series of images with different contrasts.
The observed effect of the averaging for the
investigated post-mortem brain is similar to twofold
averaging but without the need for repetitions of any
image.
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