Method and device for image processing

Abstract

The invention discloses an image processing method and device. An embodiment of the method includes: counting the queuing time of the target image in the priority image list; judging whether the queuing time of the target image meets a preset threshold; if the judgment result indicates that the queuing time of the target image meets the preset threshold, then An alarm reminder of the target image is sent to a specified user. The embodiment of the present invention monitors the queuing time of the target images in the priority list, and sends an alarm reminder of the target object to the user according to the monitoring result, so that the user can process the target image in time. Therefore, the processing status of the target image can be effectively monitored, thereby improving the efficiency of image processing; it solves the delay in diagnosis of patients' diseases caused by untimely image processing in the prior art, and improves user experience.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, in particular to an image processing method and device. Background technique [0002] In modern medicine, imaging workstations are mainly responsible for image post-processing and auxiliary image diagnosis in the daily work of the imaging department. There are three roles for direct users, namely technicians, reporting doctors and clinicians. The duty of the technician is to post-process the original image sequence to output the reconstructed image sequence; the duty of the reporting doctor is to make a diagnosis based on the reconstructed image sequence to output the diagnostic image sequence; the duty of the clinician is to analyze and diagnose the disease of the patient based on the diagnostic image sequence . [0003] However, in actual work, due to the inconsistency in the rhythm of image processing by technicians, reporting doctors, and clinicians, there are often delays in the dia...

AI Technical Summary

Problems solved by technology

[0003] However, in actual work, due to the inconsistency in the rhythm of image processing by technicians, reporting doctors, and clinicians, there are often delays in the diagnosis of patient diseases

For example, when a clinician needs to consult the image sequence of the target patient in the process of diagnosing the target patient, but because the technician fails to process the image sequence of the target patient in time, the report doctor cannot obtain the image sequence of the target patient, and Diagnose the image sequence of the target patient; or the technician processed the image sequence of the target patient, but reported that the doctor failed to diagnose the image sequence of the target patient in time, so that the clinician could not obtain the image sequence of the target patient, which would delay patient's disease diagnosis

Moreover, when there are multiple target patients, technicians, reporting doctors and clinicians cannot accurately remember the priority order of multiple target patients. For this reason, they need to constantly check and verify, which will bring a lot of inconvenience, thereby reducing Image Processing Efficiency

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