Pulmonary vessel classification method and device, storage medium and electronic equipment

Abstract

The invention discloses a pulmonary vessel classification method and device, a computer readable storage medium and electronic equipment, and relates to the technical field of image processing. The lung blood vessel classification method comprises the following steps: determining bronchial segmentation information corresponding to a lung image to be classified; and determining first lung vessel classification information corresponding to the to-be-classified lung image based on the bronchial segmentation information. The pulmonary artery blood vessel information in the to-be-classified lung image is determined through the bronchial segmentation information by using the concomitant relationship between the pulmonary artery blood vessel and the bronchial tube, and classification of the pulmonary artery blood vessel and the pulmonary vein blood vessel is realized, that is, the first pulmonary blood vessel classification information is determined. Since the pulmonary blood vessel classification refers to the distribution information of the bronchus having an accompanying relationship with the pulmonary artery blood vessel, the pulmonary artery blood vessel can be determined more accurately and quickly, and the accuracy and efficiency of pulmonary blood vessel classification are improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, in particular to a pulmonary vessel classification method and device, a computer-readable storage medium, and electronic equipment. Background technique [0002] Classifying pulmonary vessels in lung images helps doctors analyze lung diseases and plan operations, thereby avoiding damage and bleeding to pulmonary vessels and reducing the risk of treatment for patients. For example, pulmonary embolism only occurs in pulmonary arteries, and the classification of pulmonary vessels into pulmonary arteries and pulmonary veins can more accurately determine the location of embolism and reduce the risk of treatment for patients. For another example, when a patient with a pulmonary nodule needs a pulmonary lobectomy, the surgical path can be planned according to the classification results of the pulmonary vessels, avoiding the pulmonary arteries, so as to prevent the pulmonary arteries fr...

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Problems solved by technology

[0003] However, due to the intricate distribution of pulmonary vessels, it is difficult to classify pulmonary vessels, and the existing pulmonary vessel classification techniques have poor classification accuracy and low efficiency.

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