Image reconstruction method and device, computer equipment and storage medium

Abstract

The invention relates to an image reconstruction method and device, computer equipment and a storage medium, and the method comprises the steps: deploying a collection application program in a first virtual system, deploying a reconstruction application program in a second virtual system, and enabling the first virtual system and the second virtual system to be isolated from each other in the same image reconstruction equipment. Therefore, the acquisition application program responsible for the task of acquiring the original data and the reconstruction application program responsible for the task of reconstructing the original data into the CT image are isolated from each other and do not interfere with each other when executing the task process, the computing resources of image reconstruction are ensured, the computing resources of the data acquisition process can be ensured, and therefore, the resource application efficiency of the acquisition process is ensured.

Description

technical field [0001] The present application relates to the field of medical technology, in particular to an image reconstruction method, device, computer equipment and storage medium. Background technique [0002] Computer tomography (Computed Tomography, CT) uses precisely collimated X-ray beams, γ-rays, ultrasound, etc., together with highly sensitive detectors, to perform cross-sectional scans one after another around a certain part of the human body. The time is fast, the image is clear and other characteristics, and can be used for the inspection of various diseases. [0003] In the current design, the reconstruction machine in the CT system is responsible for both the acquisition of raw data and the task of reconstructing the original data into CT images, and image reconstruction during data acquisition is the most used scene in hospitals. However, for the scene where the image reconstruction algorithm occupies too much CPU and memory resources, or the scene where ...

AI Technical Summary

Problems solved by technology

However, for the scene where the image reconstruction algorithm occupies too much CPU and memory resources, or the scene where the amount of collected data is relatively large, there will be serious competition for computer resources between the acquisition process and the reconstruction process, which will reduce the application rate of data acquisition resources. Even lead to data buffer overflow and cause loss of original data, resulting in failure of patient examination

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