Koninklijke Philips Corporation N.v.

Michael C Lee

Julien Senegas

Lalitha Agnihotri

Lilla Boroczky

Stefanie Remmele

Luyin Zhao

A medical imaging device () includes a magnetic resonance imaging system () and a memory () containing machine executable instructions () for execution by a processor (). Execution of the instructions causes the processor to receive () a pulse sequence protocol (). Execution of the instructions further causes the processor to determine () a pulse sequence type classification () descriptive of the pulse sequence protocol. Execution of the instructions further cause the processor to determine () a magnetic resonance contrast classification (). The choice of the magnetic resonance contrast classification depends upon the pulse sequence type classification. Execution of the instructions further causes the processor to determine () a pulse sequence protocol classification (). The pulse sequence protocol classification is determined by the pulse sequence type classification and the magnetic resonance contrast classification.

Determination of a magnetic resonance imaging pulse sequence protocol classification

Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.

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Michael C Lee