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US 2014/0191755 A1Published application
Method and magnetic resonance apparatus for automated analysis of the raw data of a spectrum
AssigneeSiemens Aktiengesellschaft
InventorsChristina Bauer, Martin Berger, Thomas Blum, Christian Schuster
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Abstract
In a method and magnetic resonance apparatus for automating the analysis of MR raw data representing a spectrum, at least one post-processing procedure is applied to the raw data, so as to obtain a processed spectrum. The number of numerical values depicted by the processed spectrum is lowered to a feature vector. The feature vector is allocated to one of numerous groups of known feature vectors.
Claims13
A computerized method for automating analysis of raw data representing a spectrum, said method comprising:
- providing said raw data representing a spectrum to a processor and, in said processor, applying at least one post-processing procedure to said raw data, thereby obtaining a processed spectrum;
- in said processor, reducing a number of numerical values represented by the processed spectrum to a feature vector;
- in said processor, automatically allocating said feature vector to one group of a plurality of groups of known feature vectors;
- and
- in said processor, based on said one group to which said feature vector is allocated, identifying a material from which said spectrum originates and emitting an electronic signal at an output of said processor indicating said material.
2 more elements
A magnetic resonance apparatus comprising:
- a control unit configured to operate said magnetic resonance apparatus to acquire raw MR data representing a spectrum of a material in an examination subject situated in the apparatus;
- a computerized processor supplied with said raw MR data, said computerized processor being configured to apply at least one post-processing procedure to said raw MR data, thereby obtaining a processed spectrum;
- said processor being configured to reduce a number of numerical values represented by the processed spectrum to a feature vector;
- said computerized processor being configured to allocate said feature vector to one group among a plurality of groups of known feature vectors;
- and
- said computerized processor being configured to identify said material, based on said one group to which said feature vector is allocated, and to emit an electronic signal at an output of said computerized processor indicating said material.
3 more elements
Dependencies are inferred from the claim text.