Lung function small airway disease prediction system and method, medium and electronic equipment

Abstract

The invention provides a lung function small airway disease prediction system and method, a medium and electronic equipment. The system comprises: an image acquisition module used for acquiring a single respiratory phase chest CT image of a target object; a first processing module used for acquiring a first prediction result of the lung function small airway evaluation parameters by using a first deep learning model; a second processing module used for acquiring a second prediction result of the lung function small airway evaluation parameters by using a second deep learning model; a third processing module used for acquiring a third prediction result of the lung function small airway evaluation parameters by utilizing the machine learning model; and a fusion module used for fusing the first prediction result, the second prediction result and the third prediction result to obtain a final prediction result of the lung function small airway evaluation parameters. The system does not need to obtain a double-gas-phase CT image of the target object, and the radiation dose borne by the target object is reduced.

Description

technical field [0001] The invention belongs to the field of medical imaging, and relates to a medical image processing method, in particular to a system, method, medium and electronic equipment for predicting pulmonary functional small airway diseases. Background technique [0002] Due to the deterministic effect and stochastic effect of ionizing radiation, the harm to human body will increase correspondingly with the increase of radiation dose. Generally speaking, the dose of CT (Computed Tomography, computerized tomography) is higher than that of ordinary X-ray examination, and the increase of radiation dose will lead to an increase in the probability of random effects such as radiation-induced cancer. According to the new version of "GBZ165-2012 X-ray Computed Tomography Radiation Protection Requirements", the diagnostic reference levels of X-ray CT examination of the head, lumbar spine and abdomen of typical adult patients are 50mGy, 35mGy and 25mGy respectively, and th...

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Problems solved by technology

[0005] However, the inventors have found in practical applications that the implementation of the above method relies on the three-dimensional CT scan images of the patient's inspiratory and expiratory phases, and in order to obtain the three-dimens...

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