The present application relates to the field of
medical imaging technology, specifically to a
COPD early warning method and
system based on
chest CT parameters, comprising the following steps: based on
chest CT image data, extracting pixel data of
lung lobe anatomical region, segmenting
airway tree structure, identifying bronchial wall boundary, screening gradient
change points, and generating
airway wall boundary
point set. In the present application, by refining the
lung lobe anatomical region, segmenting the
airway tree structure, accurately positioning the bronchial wall boundary, calculating the
airway wall thickness, correcting abnormal fluctuations, improving the stability of the thickness parameter, using the thickness parameter to calculate the
airflow passage cross-sectional area, analyzing the
lung lobe
ventilation volume and ventilation change, quantifying the
lung ventilation imbalance degree, screening the ventilation restricted area, analyzing the relationship between the wall thickness and the ventilation change rate, extracting the abnormal growth area, marking the ventilation restriction severity, setting the early warning threshold, calculating the abnormal index mean value, marking the
risk area, enhancing the ventilation
abnormality recognition hierarchy, and improving the early warning ability of
COPD.