FIELD: medical equipment.
SUBSTANCE: medical device is used to monitor the technical condition of a magnetic resonance imaging scanner based on clinical images of the brain. The essence of the invention is that a data set containing magnetic resonance imaging images of the brain and markings with quality compliance information is used to train a neural network; the magnetic resonance imaging of the brain is fed to the input of the algorithm for analyzing images of magnetic resonance imaging; sequentially process clinical images using a neural network algorithm to determine the probability of the image quality of magnetic resonance imaging not meeting the imaging requirements depending on the response of the neural network; analyze the response of the neural network depending on the set threshold value and prepare the results for delivery to the user; form a conclusion and send it to a journal with the results of tests for the constancy of the parameters of the magnetic resonance imaging scanner.
EFFECT: providing the ability to perform tests for the constancy of the parameters of the results obtained during magnetic resonance imaging, using images of the patients' brain.
1 cl, 3 dwg
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