Medical image processing method based on SaaS

Abstract

The invention provides a medical image processing method based on SaaS, and the method comprises the following steps: authorizing a third side, enabling a service user side to request a service provider side to obtain the verification information uploaded by the third side during the image uploading, distributing a unique uploading identification for the request after successful verification, andcreating an uploading task; enabling the service user side to upload an original medical image file, enabling the service provider side to receive and process the original medical image file, obtaining an access URL address for an extractable medical image file, and storing the access URL address and the original medical image file in an SaaS image cloud platform correspondingly; executing the extraction and reading of the extractable medical image file according to a request of the service user side, displaying the extractable medical image file at the interface of the service user side. Themethod makes the most of the advantages and characteristics of cloud computing, simplifies the complexity of a self-built server, greatly speeds up the image preprocessing speed, lays a foundation forthe quick display of the image, and saves the cost and development cost of the service provider side.

Description

technical field [0001] The invention belongs to the medical field, and in particular relates to a SaaS-based medical image processing method. 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. Due to the particularity of the format, these image files need to be viewed by professional software, usually called PACS image workstation or DICOM image viewer. [0003] With the diversification of medical treatment methods and medical service methods, such as remote consultation, Internet consultation, mobile medical care, etc. The use of medical image data by patients and medical staff is no longer limited to these closed professional image processing software in hospitals. A large number of mobile software, such as consultation apps, urgently need...

AI Technical Summary

Problems solved by technology

[0008] Installing and deploying independent image processing software, whether it is called through a local interface or integrated through the Web, requires management of complex installation and deployment of third-party image processing programs, resulting in high maintenance costs

[0009] At the same time, the above two methods can usually only use specific versions, and it is difficult to update software and systems, which can hardly meet the customization requirements.

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