System and Method For Normalized Reference Database For MR Images Via Autoencoders
AssigneeSiemens Healthcare GmbH
InventorsBenjamin L. Odry, Hasan Ertan Cetingul, Boris Mailhe, Mariappan S. Nadar, Xiao Chen
Life of this patent
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Abstract
A system and method including receiving magnetic resonance (MR) imaging data from a first MR scanner device, the MR imaging data including data for a plurality of MR scans of different structural or anatomical regions; generating, based on the MR imaging data, normalized reference data including statistical information for each MR scan; learning a transformation, based on the normalized reference data, to correlate a set of input MR imaging data to the normalized reference data; and storing a record of the transformed imaging data.
Claims18
A method comprising:
- receiving magnetic resonance (MR) imaging data from a first MR scanner device, the MR imaging data including data for a plurality of MR scans of different structural or anatomical regions;
- generating, based on the MR imaging data, normalized reference data including statistical information for each MR scan;
- learning a transformation, based on the normalized reference data, to correlate a set of input MR imaging data to the normalized reference data;
- and
- storing a record of the transformed imaging data.
A system comprising:
- a chassis defining a bore;
- a main magnet to generate a polarizing magnetic field within the bore;
- a gradient system to apply a gradient magnetic field to the polarizing magnetic field;
- a radio frequency system to apply an excitation pulse to patient tissue disposed within the bore and to receive signals from the patient tissue;
- and
- a computing system to receive the signals from the RF system, the computing system to execute program code to:
- receive magnetic resonance (MR) imaging data from a first MR scanner device, the MR imaging data including data for a plurality of MR scans of different structural or anatomical regions;
- generate, based on the MR imaging data, normalized reference data including statistical information for each MR scan;
- learn a transformation, based on the normalized reference data, to correlate a set of input MR imaging data to the normalized reference data;
- and
- store a record of the transformed imaging data.
Dependencies are inferred from the claim text.