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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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