Automatic failure detection in magnetic resonance apparatuses
AssigneeSiemens Healthcare GmbH
InventorsAndre de Oliveira, Georg Goertler, Atilla Peter Kiraly
Life of this patent
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Abstract
In a method, a computer and a medical computer for automatic failure analysis in order to provide a cause of failure of the medical imaging apparatus during operation, input data are read into the computer that include raw data or image data, acquired by the imaging apparatus. A set of performance indicators in the input data is calculated by the computer. A trained neural network system is accessed with the calculated performance indicators, in order to provide result data that, in the case of a failure, identify a failure source.
Claims11
A method for automatic failure analysis of a medical imaging apparatus during operation of the medical imaging apparatus, comprising:
- reading in input data, comprising raw data or image data acquired by the medical imaging apparatus into a computer;
- in said computer, calculating a set of performance indicators in the input data;
- from said computer, accessing a trained neural network system with said calculated performance indicators in order to use said trained neural network system to produce result data that, if a failure of said medical imaging apparatus exists, identify a source of said failure;
- and
- from said computer, presenting said result data at a display screen.
A medical imaging apparatus comprising:
- a medical imaging data acquisition scanner;
- a computer configured to read in input data, comprising raw data or image data acquired by the medical imaging apparatus;
- said computer being configured to calculate a set of performance indicators in the input data;
- said computer being configured to access a trained neural network system with said calculated performance indicators in order to use said trained neural network system to produce result data that, if a failure of said medical imaging apparatus exists, identify a source of said failure;
- and
- said computer being configured to present said result data at a display screen.
A non-transitory, computer-readable data storage medium encoded with programming instructions, said storage medium being loaded into a computer of a medical imaging apparatus, and said programming instructions causing said computer to:
- read in input data, comprising raw data or image data acquired by the medical imaging apparatus;
- calculate a set of performance indicators in the input data;
- access a trained neural network system with said calculated performance indicators in order to use said trained neural network system to produce result data that, if a failure of said medical imaging apparatus exists, identify a source of said failure;
- and
- present said result data at a display screen.
Dependencies are inferred from the claim text.