Medical Scan Visualization System for Low-Bandwidth Access
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Solution Overview
Problem
Current solutions for accessing and interpreting large medical scans, such as CT and MRI scans, are impractical due to high bandwidth and latency requirements, making it difficult for rural areas to utilize advanced 3D visualization, and pose challenges in securely maintaining medical records over time.
Innovation Solution
A system and method for viewing three-dimensional virtual views of volume visualization datasets over the Internet using a centralized infrastructure, with secure data transmission, load balancing, and optimized bandwidth management, allowing for interactive access and secure record keeping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If 3D virtual views of medical scans are transmitted over the Internet, then advanced visualization capability is improved, but bandwidth consumption increases
Solution Approach 1:
The system segments the medical scan data transmission by sending only the necessary 3D virtual view data rather than complete raw datasets. The server processes and transmits pre-rendered 3D views, dividing the large dataset into manageable visual representations that consume less bandwidth while maintaining diagnostic quality.
Solution Approach 2:
The system creates and transmits copied 3D virtual view representations of the medical scans instead of transmitting the original large-volume raw scan data. These copied visual representations maintain the essential diagnostic information while occupying significantly less bandwidth, enabling remote access without requiring high-speed connections.
2Manufacturing precision
If dynamic 3D views are generated on user's computer, then visualization quality is improved, but processing power requirement increases
Solution Approach 1:
The system introduces a server as an intermediary between the raw medical scan data and the user's computer. The server performs the computationally intensive processing of generating 3D virtual views from raw scans, then transmits these processed views to the user's computer for display. This eliminates the need for high processing power at the user end while maintaining high visualization quality.
Solution Approach 2:
The system replaces the mechanical computing process at the user's computer with a remote server-based processing system. Instead of requiring the user's computer to perform complex 3D rendering calculations, the system substitutes this local mechanical processing with remote server processing, reducing local hardware requirements while maintaining visualization quality.
3Measurement precision
If complete raw scan data is retrieved for processing, then processing accuracy is improved, but data transmission time increases
Solution Approach 1:
The system performs preliminary processing actions on the server side by pre-generating 3D virtual views from raw scan data before transmission. This preliminary action of creating processed visual representations eliminates the need to transmit complete raw datasets, reducing transmission time while ensuring processing accuracy is maintained through server-side validation and quality control.
Data Source
AI summary
A system for viewing at a client device a series of three-dimensional virtual views over the Internet of a volume visualization dataset contained on centralized databases employs a transmitter for securely sending volume visualization dataset from a remote location to the centralized database, more than one central data storage medium containing the volume visualization dataset, and a plurality of servers in communication with the centralized databases to create virtual views based on client requests. A resource manager load balances the servers, a security device controls communications between the client device and server and the resource manager and central storage medium. Physically secured sites house the components. A web application accepts at the remote location user requests for a virtual view of the volume visualization dataset, transmits the request to the servers, receives the resulting virtual view from the servers, and displays the resulting virtual view to the remote user.