Compressed sensing with regularization parameter
AssigneeSiemens Healthcare GmbH
InventorsRalf Kartäusch, Dominik Paul, Mario Zeller
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AssigneeSiemens Healthcare GmbH
InventorsRalf Kartäusch, Dominik Paul, Mario Zeller
Estimating the term…
A method is provided for generating a signal-to-noise improved magnetic resonance (MR) image of an object under examination in an MR system using a compressed sensing technology. The method includes determining a first MR signal data set of the object under examination in which a corresponding k-space is randomly subsampled; determining a location dependent sensitivity map for each of at least one receiving coil used to detect MR signals of the first MR signal data set in the location where the object under examination is located; and determining the MR image using an optimization process of the compressed sensing technology in which a location dependent regularization parameter is used, wherein the location dependent regularization parameter is determined based on the location dependent sensitivity map.
A method for generating a signal-to-noise improved magnetic resonance (MR) image of an object under examination in an MR system using a compressed sensing technology, the method comprising:
A magnetic resonance (MR) system configured to generate a signal-to-noise improved MR image of an object under examination in an MR system using a compressed sensing technology, the MR system comprising:
A non-transitory computer readable storage medium comprising a computer program having program code, wherein the computer program, when executed by a control unit of a magnetic resonance (MR) system, is configured to cause the MR system to:
Dependencies are inferred from the claim text.