CT image-based rib segmentation method, device medium and electronic equipment

Abstract

The invention discloses a CT image-based rib segmentation method, a CT image-based rib segmentation device, a detection device, a computer readable storage medium and electronic equipment. According to the method, the position information of each pixel in a CT image is acquired; the position information and the CT image are inputted into a neural network model; the image of each rib and the corresponding serial number of the image are automatically generated by utilizing the neural network model; and therefore, the workload of medical personnel in the radiology department is greatly reduced, the efficiency of rib segmentation is improved, the situation of wrong manual segmentation number can be avoided, and the accuracy of the rib segmentation is improved.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a CT image-based rib segmentation method, detection device, computer-readable storage medium and electronic equipment. Background technique [0002] Computed Tomography (CT for short) is a three-dimensional radiological medical image reconstructed after digital geometry processing. This technology mainly irradiates the human body through the rotation of X-rays on a single axis. Since different tissues have different absorption capabilities (or rejection rates) of X-rays, the three-dimensional technology of the computer can be used to reconstruct the tomographic image. By bit processing, the tomographic image of the corresponding tissue can be obtained, and the tomographic image can be stacked layer by layer to form a three-dimensional image. [0003] Human CT tomography is an important means for judging fractures in hospitals, and when rib fractures and lesions are foun...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above technical problems, this application proposes a CT image-based rib segmentation method, detection device, computer-readable storage medium and electronic equipment, by obtaining the position information of each pixel in the CT image, and combining the position information with The CT image is input into the neural network model, and the neural network model is used to automatically generate the image of each rib and the corresponding number, thereby greatly reducing the workload of medical staff in the radiology department, improving the efficiency of rib segmentation, and avoiding the error of manual segmentation. situation, improving the accuracy of rib segmentation

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