Medical 3D Volume Rendering via Cloud Intermediary
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Solution Overview
Problem
Current medical systems face challenges in efficiently storing, transferring, and analyzing medical imaging files, often requiring high-bandwidth internet and specialized software that can be complex and not user-friendly for all medical professionals. Additionally, existing solutions lack encryption, making patient data insecure, and often struggle with 3D visualization, which is crucial for accurate anatomical analysis.
Innovation Solution
A medical collaboration system that includes an imaging center, data center, DICOM storage, displaying means with annotation tools, an API, and a rendering device. This system converts 2D medical records into 3D medical volumes, allowing authorized users to create boards with 3D medical volumes, set display parameters, annotate, and comment on them. The system also includes a navigation arrangement for intra-operative use, utilizing Extended Reality (XR) devices for real-time optical navigation and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical images are stored on local area network hard drives, then storage capacity is sufficient for gigabytes of data, but transfer speed becomes very slow and problematic
Solution Approach 1:
The patent introduces a cloud-based intermediary server system that acts as a mediator between local storage and remote access. The server receives medical images from local PACS systems, processes them into 3D volumetric representations, and delivers them through web browsers. This intermediary architecture enables fast transfer speeds while maintaining adequate storage capacity in the cloud.
2Ease of operation
If specialized medical image viewer programs are installed on each device, then image viewing capability is provided, but device complexity increases and user interface becomes confusing for non-radiologists
Solution Approach 1:
The patent creates a universal web-based platform that runs on any device with a browser, eliminating the need for device-specific software installations. The system provides multi-functional capabilities including 3D visualization, annotation tools, and collaborative features through a single accessible interface, making it universally usable by all medical professionals regardless of their device or expertise level.
3Reliability
If 2D medical records are used for analysis, then data storage and transfer are simpler, but anatomical understanding is insufficient for thorough analysis
Solution Approach 1:
The patent transforms 2D medical images into 3D volumetric representations by processing stack images through cloud-based rendering engines. This dimensional transformation provides comprehensive anatomical understanding while maintaining system simplicity through automated processing. The 3D volumes can be interactively explored through web browsers with built-in manipulation tools, achieving high analytical reliability without requiring complex local processing systems.
4Ease of operation
If medical studies are shared without encryption, then data accessibility is improved, but patient data security is compromised
Solution Approach 1:
The patent implements an encrypted intermediary server system that mediates all data transmissions. The server receives encrypted medical images from source systems, maintains them in encrypted 3D volumetric format in cloud storage, and delivers them through secure web protocols. This intermediary architecture enables universal accessibility through web browsers while maintaining strong encryption throughout the entire data lifecycle, resolving the contradiction between accessibility and security.
Data Source
AI summary
A medical collaboration system for pre-operative collaborative assessment includes an imaging center, a data center, a DICOM storage, at least one displaying means, an API and a rendering device. The data center includes a cloud storage, a user database, a DICOM converter and a web interface; the cloud storage includes a 3D medical volume storage; the imaging center is connected to the data center. The API is connected to the data center, the at least one displaying means, the rendering device and the 3D medical volume storage. The DICOM storage is connected to the DICOM converter and the DICOM storage is configured to send the 2D medical records to the DICOM converter. The DICOM converter is configured to remove confidential metadata from the 2D medical records, convert the 2D medical records into 3D medical volumes, and send the 3D medical volumes to the 3D medical volume storage for storing.