Remote Medical Image Processing via Server Mediation
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Solution Overview
Problem
Current medical imaging technologies on portable devices face limitations in processing power and memory, making it difficult to efficiently access and manipulate large medical image files, especially for 3D imaging and real-time data manipulation over the internet.
Innovation Solution
A remote image processing system utilizing open-source software and JAVA-based web applications for cross-platform compatibility, enabling 2D and 3D image analysis, real-time interaction, and integration with online databases, which allows for quantitative image processing on servers to overcome bandwidth and processing limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If medical image data is stored and processed on portable remote devices, then accessibility and portability are improved, but processing power and memory limitations prevent efficient manipulation of large image files
Solution Approach 1:
A server acts as an intermediary between the portable device and the medical image database. The server handles heavy processing tasks including image retrieval, manipulation, and analysis, while the portable device only needs to communicate requests and receive results. This mediator architecture allows practitioners to access and manipulate large medical images on portable devices without requiring local processing power.
2Measurement precision
If full-resolution medical images are transmitted over the internet to portable devices, then image quality is improved, but bandwidth limitations and transfer time increase
Solution Approach 1:
The system implements local quality by storing medical images at multiple resolution levels on the server. When a user requests an image, the system automatically selects and transmits only the appropriate resolution level needed for the current task, rather than always transmitting full-resolution images. This allows practitioners to view high-quality images when needed while reducing transfer time for routine operations.
3Reliability
If 3D medical image manipulation is implemented on portable devices, then diagnostic capability is improved, but device complexity and processing requirements exceed portable device capabilities
Solution Approach 1:
The server serves as a computational intermediary that handles all complex 3D image manipulation operations. When a practitioner needs to perform 3D reconstruction, rotation, or virtual sectioning, the portable device sends the request to the server, which performs the computationally intensive operations and returns the processed images. This allows sophisticated 3D diagnostic capabilities to be accessed through simple portable devices without requiring the devices themselves to have high processing power.
Data Source
AI summary
Disclosed herein is a system and method for providing remotely accessible medical image data. The system and method allows for increased accuracy and semi-quantitative or fully quantitative data from images by enabling the remote user to select regions of interest on a compressed image, and then conducting quantitative analysis on original images at a central location.