Device for segmenting lung blood vessel from lung mask image

Abstract

The invention discloses a device for segmenting lung blood vessels from a lung mask image. The device comprises a calculation module, an image acquisition module, an image fusion module, a blood vessel segmentation module, a blood vessel position determination module and a blood vessel edge optimization module. The calculation module and the image acquisition module are in mutual electric signal connection, the image acquisition module is used for acquiring an image of a lung mask, the calculation module is used for calculating a range of a blood vessel size in the lung mask image, and the image acquisition module and the image fusion module are in mutual electric signal connection. And the image fusion module is used for carrying out image fusion on the plurality of lung mask images to obtain a fused lung fusion image. The method has the advantages that the gray scale distribution of small blood vessels is uniform, the gray scale contrast between the blood vessels and surrounding tissues is obvious, the obvious gray scale difference boundary is provided, the accuracy of pulmonary blood vessel extraction is improved, the gray scale value difference between the blood vessels and other tissues such as adjacent bones and ventricular blood in the image is large, and the blood vessel segmentation image is accurate and clear.

Description

technical field [0001] The invention relates to the technical field of medical instruments, in particular to a device for segmenting pulmonary vessels from a lung mask image. Background technique [0002] The lung is the respiratory organ of the human body and an important hematopoietic organ of the human body. The lungs are located on the left and right sides of the chest cavity and cover the heart. The distribution of blood vessels in the lungs is complex. The lungs contain multiple branches of blood vessels. The diameter of the blood vessels is 20 In the range of micron to 15mm, in order to observe and understand the lesions of blood vessels, digital imaging equipment is usually used to scan the blood vessels of human lungs. The scanned images often need to be segmented for blood vessels to facilitate further blood vessel analysis and detection by doctors. , the blood vessel segmentation in medical imaging is mainly based on the gray level information in the image, especi...

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Problems solved by technology

[0003] Existing pulmonary vessel segmentation devices generally display high-density shadows on CT images because the pulmonary vessels are filled with blood, and the gray scale distribution is not uniform, especially the small blood vessels are greatly affected, and the gray scale of blood vessels is similar to that of surrounding tissues. There is no obvious gray scale difference or boundary. Mucus-filled trachea around

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