Artificial intelligence multimode imaging analysis system

Abstract

The invention discloses an artificial intelligence multimode imaging analysis system, and relates to the field of multimode imaging. The artificial intelligence multimode imaging analysis system comprises an imager, wherein a detection bin is formed in the imager; a power bin is arranged at the bottom of the front face of the imager; the power bin is in transmission connection with a base; a firstprotection frame is fixedly connected to the upper surface of the base, and a second protection frame is slidably connected to the inner wall of the first protection frame; a lifting mechanism is arranged between the first protection frame and the second protection frame; an examination bed is fixedly connected to the top of the second protection frame; a fixed plate is fixedly connected to the upper surface of the examination bed; a movable plate is rotationally connected to the fixed plate through a rotating shaft; a cavity is formed in the upper surface of the examination bed; and a transmission mechanism is arranged in the cavity. According to the artificial intelligence multi-mode imaging analysis system, the examination bed can be lifted, so that a weak patient can get on the bed conveniently, and meanwhile, the back of the patient can be slowly supported, so that the weak patient can get up conveniently.

Description

technical field [0001] The invention relates to the technical field of multi-mode imaging, in particular to an artificial intelligence multi-mode imaging analysis system. Background technique [0002] Multimodal imaging technology is to inject a small amount of positron nuclide tracers into the human body, and then use a special in vitro detector (PET) to detect the distribution of these positron nuclide in various organs of the human body. The method shows the physiological and metabolic functions of the main organs of the human body. [0003] Cell images contain more information than can be extracted by the human eye, and computer-assisted image analysis has the potential to make complex morphological information more accessible in daily diagnostic practice, improving prognosis and predicting patient stratification. [0004] However, during the detection process, there are often some weak patients or elderly people, and the height of the examination bed is generally highe...

AI Technical Summary

Problems solved by technology

[0004] However, during the detection process, there are often some weak patients or elderly people, and the height of the examination bed is generally higher than the normal bed, so it is difficult for the patient to lie on the examination bed, and it is difficult for the patient to get up after the examination. It is very difficult, so we propose an artificial intelligence multimodal imaging analysis system

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