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Advances in Optimization and Statistics
15 мая 2014 г. 16:35, г. Москва, ИППИ РАН




[Quantification of noise in MR experiments]

Joerg Polzehl

Weierstrass Institute for Applied Analysis and Stochastics, Berlin


http://www.youtube.com/watch?v=mTQGi4vn0V0

Аннотация: We present a novel method for local estimation of the noise level in
magnetic resonance images in the presence of a signal. The procedure
 uses a multi-scale approach to adaptively infer on local neighborhoods
 with similar data distribution. It exploits a maximum-likelihood
 estimator for the local noise level. Information assessed by this
 method is essential in a correct modeling in diffusion magnetic 
resonance experiments as well as in adequate preprocessing.
 The validity of the method is evaluated on repeated diffusion data of
a phantom and simulated data. We illustrate the gain from using the
method in data enhancement and modeling of a high-resolution diffusion
 data set.

Язык доклада: английский


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