The invention relates to the technical field of medical images, in particular to a
COPD early warning method and
system based on
chest CT parameters, and the method comprises the following steps: based on
chest CT image data, extracting pixel data of a
lung lobe anatomical region, segmenting an
airway tree structure, recognizing a bronchial wall boundary, screening gradient
change points, and generating an
airway wall boundary
point set. According to the method, the
lung lobe anatomical area is refined, the
airway tree structure is segmented, the boundary of the bronchial wall is accurately positioned, the thickness of the
airway wall is calculated, abnormal fluctuation is corrected, the stability of the thickness parameter is improved, the sectional area of the
airflow channel is calculated through the thickness parameter, the
lung lobe ventilation capacity and ventilation change are analyzed, the
lung ventilation imbalance degree is quantified, and the ventilation limited area is screened; analyzing the relationship between the wall thickness and the ventilation change rate, extracting an abnormal growth region, calibrating the ventilation limitation severity, setting an early warning threshold value, calculating an abnormal index mean value, marking a risk region, enhancing the ventilation
abnormality recognition hierarchy, and improving the
COPD early warning capability.