Medical Image Data Transfer Latency Control

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Solution Overview

Problem

Existing data transfer methods, such as TCP, often prioritize high bandwidth over low latency, leading to increased network congestion and delayed responses in applications that require real-time data streaming, such as medical image viewing systems.

Innovation Solution

A client-server based medical image viewing system uses timestamp messages to monitor network latency and adjust send bandwidth dynamically, ensuring high data throughput without compromising responsiveness. This system employs a feedback scheme to limit send bandwidth when latency increases, thereby preventing network congestion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If TCP protocol is used to maximize data throughput, then bandwidth efficiency is improved, but network latency increases

Engineering Contradiction:
Improvedata throughputVSAvoidnetwork latency
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent segments the data transfer process into multiple concurrent streams with different priority levels. High-priority data (such as user interactions in medical imaging) is transmitted separately from bulk data transfers, allowing critical data to bypass congestion and reduce latency while maintaining high overall throughput through parallel transmission channels.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts transmission parameters based on real-time network conditions and data priority. It implements adaptive bandwidth allocation that can shift resources between different data streams, enabling the system to optimize for low latency when user interaction is detected while maintaining high throughput during bulk data transfers when the network is idle.

Inventive Principle:
Principle #15Dynamics

2Productivity

If large packets are sent to increase bandwidth utilization, then data throughput is improved, but response time deteriorates

Engineering Contradiction:
Improvebandwidth utilizationVSAvoidresponse time
Core Design Contradiction:
ProductivityVSSpeed

Solution Approach 1:

The patent divides data into multiple packet sizes and priority levels rather than sending uniform large packets. Small high-priority packets are sent immediately for user interactions, while large packets are used for bulk data transfers during idle periods, eliminating the need to choose between packet size and response time.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements periodic transmission cycles where bulk data transfers are paused or reduced when user interaction is detected, allowing small response-critical packets to be sent immediately. This periodic adjustment of transmission patterns ensures both high bandwidth utilization during idle periods and fast response times during interaction periods.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12341862B2Method and system for transferring data to improve responsiveness when sending large data sets
Publication Date: 2025.06.24 PME IP PTY LTD
  • US12341862B2 patent drawing
  • US12341862B2 patent drawing

AI summary

Most of the internet traffic today is carried out via the Transmission Control Protocol (TCP). The main advantage of TCP is that it provides reliable data transfer to the application layer and simplifies programming. The protocol maximizes data throughput but may also lead to noticeable transmission delay in wide area networks (WAN). A client-server based medical image viewing system is disclosed that achieves high data throughput over TCP without impacting responsiveness. Special timestamp messages inserted into the data stream allow the system to detect situations where network latency increases noticeably and to obtain a reliable estimate of sustained transfer bandwidth. The system applies a feedback scheme that avoids network delays by limiting send bandwidth. In addition other parameters, in particular image compression settings, are dynamically adjusted depending on current network quality.