Server-Side Medical Image Streaming via Priority Queues
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Solution Overview
Problem
The existing systems for transmitting medical images over a network are inefficient, leading to high latency and poor user experience, especially when dealing with large volumes of high-resolution images.
Innovation Solution
A server-side application that prioritizes and transfers medical images associated with a study using a WebSocket communication channel, with images placed in a queue based on metadata and transmission rate adjusted dynamically based on connection quality and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If all images are transmitted sequentially without prioritization, then the complete medical study is transferred, but the latency is excessive and user experience deteriorates
Solution Approach 1:
The server performs preliminary actions by pre-prioritizing images into queues based on metadata (e.g., anatomical region, image type, diagnostic importance) before actual user viewing occurs. This pre-organization enables immediate transmission of high-priority images when the user opens the study, eliminating sequential waiting and reducing perceived latency significantly.
Solution Approach 2:
The complete set of medical images is segmented into multiple priority queues (e.g., high priority, medium priority, low priority) based on metadata analysis. This segmentation allows the system to transmit only the most important images first, providing immediate value to the user while continuing to transfer less critical images in the background, thus improving overall transfer efficiency and user experience.
2Speed
If the transmission rate is maximized, then images are transferred faster, but connection quality may be compromised and user interactions may be missed
Solution Approach 1:
The transmission system dynamically adjusts the transmission rate based on real-time connection quality monitoring and user interaction detection. When user interactions are detected (e.g., scrolling, zooming, selecting images), the system temporarily reduces transmission rate to ensure smooth rendering and responsive user experience. When no interactions occur, the system maximizes transmission speed to complete the image transfer efficiently, thus maintaining both speed and reliability adaptively.
3Ease of operation
If images are prioritized based on metadata, then critical images are transmitted first, but the system complexity increases
Solution Approach 1:
The server performs the complex prioritization logic in advance by analyzing image metadata (anatomical region, modality, series description, etc.) and organizing images into priority queues before the user session begins. This preliminary action transfers the computational complexity from the client device to the server, keeping the client-side application simple while ensuring critical images are readily available for immediate display.
Solution Approach 2:
The server acts as an intermediary that handles the complex prioritization and queue management logic, shielding the client application from complexity. The server translates metadata into priority assignments and manages the transmission schedule, allowing the client to simply receive and display images in the order provided, thus improving ease of operation without sacrificing intelligent prioritization.
Data Source
AI summary
A server-side application is provided that transfers images associated with a medical study. The application receives a request to view a medical study. In response, the application opens a WebSocket or a WebTransport communication protocol communication channel between the imaging application and the server-side application. The application retrieves the images associated with medical study and places them into a queue in a priority order based on metadata associated with the study. The application then transfers the images from the queue through the communication channel in priority order. If a change is detected in the priority order (e.g., the user selects a particular image or changes the view of the images), the application may change the priority order of the images that remain in the queue. The application may select a rate to transmit the images based on information about the quality of the connection between the server-side application and the imaging application.