CT image target lung segment identification method based on pulmonary artery tree grading

• Main Authors: ZHENG SHAOHUA, ZHENG YAOYONG, SHEN ZHIQIANG, HUANG LIQIN, FU RONGDA, ZHANG ZHEN, PAN LIN
• Format: Patent
• Language: Chinese; English
• Published: 12.04.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to a CT image target lung segment identification method based on pulmonary artery tree grading, and the method comprises the following steps: S1, obtaining CT image data, and reconstructing lung structures, including pulmonary nodules, bronchus, pulmonary artery trees and lung lobes; s2, extracting an initial center line from the pulmonary artery tree, and constructing a complete and continuous topological tree through an endpoint detector and a trajectory extractor; s3, according to the topological tree, combining lung lobe and bronchus prior knowledge for constraint, and determining 18 artery segment subtrees; s4, determining a targeted artery branch; s5, calculating the nearest arterial segment subtree for each voxel point on the lung lobe, and attributing the nearest arterial segment subtree to the corresponding lung segment; similarly, according to the distance relationship, calculating the dominated area of the target artery branch in the associated lung segment, and determining th