Marking method, device and system of medical image

Abstract

The invention provides a marking method, device and system of a medical image. The marking method of the medical image comprises the following steps: performing three-dimensional reconstruction on a multi-layer two-dimensional image to acquire a first three-dimensional image; transmitting the first three-dimensional image to virtual reality equipment to generate a second three-dimensional image ina virtual reality space in the virtual reality equipment according to the first three-dimensional image; receiving a third three-dimensional image with a mark point, wherein the third three-dimensional image is generated after a user marks an interested area of the second three-dimensional image transmitted by the virtual reality equipment; and performing coordinate system conversion on the thirdthree-dimensional image to generate a multi-layer two-dimensional image with the mark point. The missed diagnosis rate of medical workers can be reduced and the medical image detection efficiency ofthe medical workers can be improved.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a marking method, device and system for medical images. 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] CT tomographic images are composed of multiple two-dimensional images stacked, which have three-dimensional characteristics. CT tomographic images are an important means and basis for judging ...

AI Technical Summary

Problems solved by technology

At present, most of the methods still use the mouse to slide layer by layer to view multiple two-dimensional images on the computer, and learn the position of the lesion area (region of interest) accordingly. Such work efficiency is obviously not high, and Due to the serious shortage of professional medical personnel, and the high requirements on the medical level and spatial imagination ability of professional medical personnel, this also leads to a large number of tasks and high work pressure. Under high-intensity working conditions, missed inspections may occur situation, resulting in time-consuming and labor-intensive detection process with a high rate of missed diagnosis

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