Medical image processing method based on general function

Abstract

The invention discloses a medical image processing method based on a general function. The method comprises the steps that acquired image files are uploaded in a high concurrency manner and are storedin an object storage unit, after each image file is uploaded, a function calculation unit is triggered, and an analysis unit analyzes each image file, and extracts head information and pixel information; an information processing unit constructs an index relation of the image files according to the head information, dynamically maintains the index relation in the memory and completes permanent storage; a compression unit compresses pixel information of each image file, and the compressed image is cached in the object storage unit; and a logic control unit receives a request of a front end application, loads an image viewer, and requests an index relation data model maintained in the memory. The method is based on an event driven function calculation mode, exerts the advantage and characteristic of cloud computing to the greatest extent, simplifies the complication in self-building of a server, and remarkably speeds up image pre-processing.

Description

technical field [0001] The invention belongs to the field of image display, in particular to a medical image processing method based on a general function. Background technique [0002] Medical image files are generated by medical imaging equipment (such as CT, MR, ultrasound, and post-processing workstations), and the storage and transmission of image files follow the international standards for medical digital imaging and communication. An imaging examination produces a varying number of image files, and the latest 256-slice CT produces as many as 5,000 images in one examination. Due to their particularity, these medical image files need to be viewed through professional software running on a high-performance workstation. As cloud computing technology becomes more and more mature, a large number of medical imaging applications based on cloud computing platforms are emerging. However, due to constraints such as broadband resources, server costs, high concurrency control, an...

AI Technical Summary

Problems solved by technology

As cloud computing technology becomes more and more mature, a large number of medical imaging applications based on cloud computing platforms are emerging. However, due to constraints such as broadband resources, server costs, high concurrency control, and front-end browser processing capabilities, the current cloud imaging The processing mechanism of service applications does not get rid of the original mode of using a single high-performance server for processing

The traditional mode of workstation software relies on the computing power of the local client host to achieve one-by-one or parallel real-time processing. Similarly, in the cloud computing environment, it also relies on the processing power of a single cloud host. There is no difference between the two methods. Due to the computing power of the hardware, one inspection of CT and other equipment may have as many as thousands of files, each file has a resolution of 512X512, and the size of each file is about 530k. The total size of an inspection file can reach several G , as the number of images increases, the computing resources consumed increase linearly, and the cost of expanding hardware after encountering a bottleneck is still high

However, during the trough period of computing, the resource consumption is limited, but the cost remains unchanged, resulting in great waste

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