Segmental nomenclature of pulmonary trachea and blood vessels

Abstract

An embodiment of the present invention provides a segmental naming method for pulmonary trachea and blood vessels, the method comprising: extracting the centerline of the trachea of ​​the lung, and establishing a trachea tree structure according to the centerline of the trachea; Classification of lung lobe types: using the first classifier corresponding to the lung lobe type of the trachea to classify the lung segments of each trachea to obtain the nomenclature result of the lung segments of each trachea. In the embodiment of the present invention, the trachea tree structure is established by extracting the centerline of the trachea of ​​the lung, and the lung segment of each trachea is classified by the first classifier corresponding to the type of the trachea lobe to obtain the naming result of the lung segment of each trachea, thereby By effectively establishing the spatial topology of human tubular organs, it can automatically name the lungs and trachea in segments, improve the efficiency of segment naming, and reduce the error rate.

Description

technical field [0001] The present invention relates to the field of medical image processing, and more particularly, relates to a segmental naming method of pulmonary trachea and blood vessels. Background technique [0002] Lung cancer is the most threatening tumor to human life and health. Whether it is early screening of lung cancer or preoperative planning of tumor resection, three-dimensional reconstruction and visualization of pulmonary nodules and lung tissue are important methods. The location of the tumor in the lung segment is of great help to the doctor in accurately assessing the lesion and preoperative planning. However, in the prior art, mainstream software such as Mimics does not have such functions. However, the 3D reconstruction and visualization of lung tissue mainly focuses on the segmentation and reconstruction of trachea and blood vessels. Most of the anatomical segmentation and naming of trachea and blood vessels are done manually, which has the defect...

AI Technical Summary

Problems solved by technology

However, in the prior art, mainstream software such as Mimics does not have such functions

However, the 3D reconstruction and visualization of lung tissue mainly focuses on the segmentation and reconstruction of trachea and blood vessels. Most of the anatomical segment naming of trachea and blood vessels is done manually, which has the defects of low efficiency and error-prone

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