Medical image processing method for mobile intelligent terminal

Abstract

The invention discloses a medical image processing method for a mobile intelligent terminal. The method comprises the steps that first, a quick stepping object is created in a main queue, and an original image is used as input and transmitted; second, seed information is interposed into a seed set, and a level set object is output; third, a threshold level set partitioning object is created in themain queue, and an output level set obtained in the second step is used as input and transmitted; fourth, parameters are set for threshold level set partitioning in a new scheduling queue; and fifth,the processed image is converted into a binary image in the main queue, and the binary image is finally displayed on a mobile client through kiwi. According to the medical image processing method forthe mobile intelligent terminal, Kiwi is used to process the final image on the mobile terminal, and therefore a user can see the image clearly and perform all kinds of operation, such as scaling, turnover and movement on the image quickly and effectively.

Description

technical field [0001] The invention relates to a medical image processing method oriented to a mobile intelligent terminal, and belongs to the technical field of medical and health service Internet. Background technique [0002] With the improvement of the level of social development in our country, the continuous improvement of the level of medical services has also become the needs of the people, and the characteristics of the medical process itself have also made the requirements for the level of information technology of medical services continue to increase; especially with the medical image Based on communication and communication systems, it has brought a qualitative leap to the medical information system, and the ways to obtain information have become more diverse. Provide the basis for doctors to make a diagnosis, which greatly improves the efficiency of medical services; in addition to supporting these methods from different sources, the hospital also integrates m...

AI Technical Summary

Problems solved by technology

Because the information exchange between on-site and off-site medical staff is a very time-consuming process, it will seriously hinder the work progress, and it is also inconvenient to exchange visual information; in the past medical service system, the attending physician needs to go to the ward to check the patient in advance The paper-based medical records of the patients are used to obtain the vital signs information of the patients, and it is necessary to carry a large number of paper documents related to the patient's information to record and sort out the relevant information of the patients; after that, the doctor returns to the office to carry out the patient's diagnosis and treatment and issue the doctor's order; At this time, the doctor's order is not directly executed, and the nurse needs to go back to the terminal computer to check whether the doctor's order is correct before executing the doctor's order; this working mode wastes a lot of time on the transmission of information, resulting in a waste of medical staff; And this traditional method is prone to negligence due to insufficient real-time performance, thus affecting the efficiency of medical services

Because doctors need to view patient image information, such medical images require a lot of storage space, but traditional research in the mobile medical industry is limited to the transmission of medical data information to mobile terminals for information management and browsing, and less attention has been paid to DICOM. Images are processed and displayed on mobile terminals, so it is very necessary to process medical images on mobile terminals; and due to resource limitations of mobile smart terminals, it is impossible for mobile smart terminals to handle complex long-running tasks

Due to the superior performance of desktop computers, the three-dimensional calculation, processing and visualization of images can be effectively processed by various means, while mobile smart terminals are not as superior in performance as desktop computers, and are subject to greater constraints when processing medical images. ; At the same time, mobile smart terminals also support various sensor sensing, multi-touch and other operations, which will undoubtedly bring greater difficulties to operations such as rendering calculations of medical images