Pulmonary airway image segmentation method, terminal and storage medium

Abstract

The invention discloses a pulmonary airway image segmentation method, a terminal and a storage medium, and belongs to the field of medical image processing. The method comprises the steps of obtaininga target pulmonary airway region in a medical image; based on the target pulmonary airway region, obtaining a backbone structure of a pulmonary airway; based on the backbone structure, determining atleast one starting pixel point for performing search on the medical image; based on each starting pixel point, performing the search in the medical image; in the process of performing the search on the medical image, based on a pipeline coefficient of the pixel points in the medical image, determining first to-be-selected pixel points in the medical image, wherein the pipeline coefficient of thepixel points is used for reflecting pipeline shape features of a preset medical image region where the pixel points are located; and determining image regions represented by all the first to-be-selected pixel points in the medical image as segmented pulmonary airway regions. The method improves the accuracy of the pulmonary airway structure obtained by segmentation, and is used for pulmonary airway image segmentation.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a lung airway image segmentation method, a terminal, and a storage medium. Background technique [0002] Image segmentation of medical images such as computed tomography (CT) images to obtain clear lung airway images in medical images is of great significance for the diagnosis, treatment and surgical planning of lung diseases. [0003] At present, in the field of medical image processing, the most commonly used lung airway image segmentation methods are region growing algorithm, improved region segmentation algorithm and segmentation algorithm based on enhanced filter. Among them, the region growing algorithm is based on the pixel value of the preset seed point as the standard, and when the relationship between the pixel value of the pixel point and the pixel value of the seed point satisfies the preset growth rule, the corresponding pixel point is divided into in the are...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a lung airway image segmentation method, a terminal, and a storage medium, which can solve the problem of low accuracy of the lung airway structure obtained by using related technology segmentation

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