AI-based X-ray imaging analysis method, and device and readable storage medium

Abstract

The invention belongs to the technical field of X-ray imaging, and discloses an AI-based X-ray imaging analysis method and a device and a readable storage medium. The AI-based X-ray imaging analysis device comprises a target area division module, an X-ray image setting module, an X-ray image acquisition module, a signal conversion module, an image judgment module, a main control module, an X-ray image enhancement module, a noise reduction module, a feature extraction module, an AI analysis module, an image storage module, an early warning module and a display module. According to the invention, the quality of X-ray images can be improved through the noise reduction module; detection blocks are stored behind information blocks and data blocks through the image storage module, so that a large amount of image data does not need to be read and written repeatedly when detection entries are increased, and the storage efficiency is improved; the phenomena of disorder of detection informationand loss of detection information are avoided, and the storage and use of images and the detection information are greatly facilitated.

Description

technical field [0001] The invention belongs to the technical field of X-ray imaging, and in particular relates to an AI-based X-ray imaging analysis method, device and readable storage medium. Background technique [0002] X-ray, also known as Roentgen ray, is a kind of ray invisible to the naked eye, but it can cause some compounds to fluoresce or make photographic film sensitive; it does not deflect in the electric field or magnetic field, and can reflect, refract, interfere and diffract etc.; it has the ability to penetrate substances, but its penetration ability is different for different substances; it can ionize molecules or atoms; it can destroy cells. Different tissues of the human body have different sensitivities to X-rays, and the degree of damage is also different. Therefore, X-rays can make the human body form an image on the screen or film, which is based on the difference in density and thickness of human tissue. However, the image noise reduction in the exi...

AI Technical Summary

Problems solved by technology

[0005] (1) In the existing X-ray imaging process, image noise reduction has a long calculation time, and image details are easily blurred; at the same time, the image preservation efficiency is low, and image information is easily lost

[0006] (2) In AEC, since optimized imaging conditions are equally set for the entire image for a specific intensity level of the entire area or a predetermined area of ​​the pre-taken image, the intensity level can be adjusted according to the density, thickness, or intensity of each area of ​​the object. Attenuation properties are reduced or saturated, and precise information for each region may not be obtained

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