Pulmonary Tracheal Tree Segmentation Method Based on Two-stroke Region Growing Combined with Morphological Reconstruction

Abstract

The invention aims to provide a two-pass three-dimensional region growing and morphology combination-based lung airway tree segmentation algorithm for solving the problem to realize effective segmentation of a lung airway tree. The two-pass region growing and morphological reconstruction combination-based lung airway tree segmentation method provided by the invention comprises the following steps of automatically obtaining a seed point P1 of three-dimensional region growing from a serial section image; performing first-pass region growing by taking P1 as the seed point to obtain a lung main airway tree; setting a multi-scale morphological operator, and obtaining corresponding airway marking graphs in three anatomic positions of a cross section, a coronal plane and a sagittal plane by utilizing gray-scale morphological reconstruction operation; performing second-pass region growing by taking the lung main airway tree as a basis and the airway marking graphs in the three anatomic positions as limitation conditions to obtain corresponding segmented airway trees; and fusing the segmented airway trees to obtain a final lung airway tree segmentation result F.

Description

technical field

[0001] The invention relates to the field of medical image processing, in particular to a pulmonary tracheal tree segmentation method based on double-stroke region growing combined with morphological reconstruction. Background technique

[0002] The anatomical structure of the pulmonary tracheal tree is the pathological criterion for diagnosing various lung diseases such as bronchial stenosis, emphysema, and COPD. Therefore, whether the pulmonary tracheal tree can be accurately segmented from CT images will ultimately affect to the accuracy of clinical diagnosis. Pulmonary trachea is an important tissue for gas exchange between the human body and the outside world. It extends from the throat to the main bronchus in sequence, forming a tree-like structure with complex shapes and variable directions. Due to the partial volume effect in the CT image, the motion artifact caused by the movement of the patient during the shooting of the CT image, and the limitatio...

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