Spatial motion model driven by the noise covariance matrix of a receive array.
Anna Andreychenko 1 , Baudouin Denis de Senneville 1,2 , Robin J.M. Navest 1 , Jan J.W. Lagendijk 1 , and Cornelis A.T. van den Berg 1
Imaging Division, UMC Utrecht, Utrecht,
UMR 5251 CNRS/University of Bordeaux, Bordeaux, France
Motion detection and correction are always required for
successful human abdominal and thoracic MR imaging and
are essential for MR guided treatments of mobile organs.
Here we propose an MR-based 2D motion model which uses a
noise covariance matrix dynamics as a surrogate signal.
Since the noise covariance matrix of the array senses
the volumetric motion and can be updated very fast (i.e.
every k-line), the proposed model does not lead to the
spatial/temporal tradeoffs in contrary to the models
which are updated by MR navigators.
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