3D Medical Environment Visualization With Model-Based Data Reduction
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Solution Overview
Problem
Streaming large amounts of 3D data from multiple sensing devices in a medical environment to visualization applications creates a bandwidth bottleneck despite using data compression methods and high-speed communication networks.
Innovation Solution
A system that generates a visualization of a medical environment based on predetermined 3D models by using sensing devices to capture images, a computing device to identify objects or persons, and a visualization device to determine and depict 3D models using stored models, reducing the need for transmitting full 3D models by sending representation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large amounts of 3D data are streamed from multiple sensing devices to visualization applications, then the realism and completeness of the virtual environment is improved, but the bandwidth requirements increase creating a bottleneck
Solution Approach 1:
The patent extracts only the essential identification information (identifier, position, 3D shape) from the full 3D data captured by sensing devices, rather than transmitting complete 3D models. This extraction approach maintains the necessary visual representation while dramatically reducing data transmission requirements and bandwidth consumption.
Solution Approach 2:
The system uses predetermined 3D models as templates and creates simplified representations by mapping extracted identification information onto these pre-existing models. This copying approach allows the visualization application to reconstruct realistic 3D environments without transmitting large amounts of raw sensor data, thereby reducing bandwidth requirements while maintaining visual fidelity.
2Quantity of substance
If data compression methods and high speed communication networks are used to reduce bandwidth requirements, then the bandwidth bottleneck is alleviated, but the system complexity increases
Solution Approach 1:
The patent performs data processing and identification extraction at the sensing device or edge computing level before transmission, preparing the data in advance. This preliminary action reduces the burden on the communication network and visualization application, simplifying the overall system architecture compared to transmitting raw data and processing it centrally.
Solution Approach 2:
The system segments the 3D data transmission task into two parts: (1) transmitting compact identification information (identifier, position, shape) from sensing devices, and (2) reconstructing full 3D models at the visualization application using predetermined templates. This segmentation reduces communication bandwidth requirements while distributing computational complexity across multiple components.
3Quantity of substance
If representation information with identifier, position and 3D shape is transmitted instead of full 3D models, then the bandwidth requirements are reduced, but the computational processing at the visualization device increases
Solution Approach 1:
The visualization application copies identification information from transmitted representation data and maps it onto predetermined 3D models stored locally. This copying approach is computationally more efficient than generating 3D models from scratch or processing raw sensor data, as it leverages pre-existing model structures and requires only parameter mapping and transformation operations.
Data Source
AI summary
An object or person in a medical environment may be identified based on images of the medical environment. The identification may include determining an identifier associated with the object or the person, a position of the object or the person in the medical environment, and a three-dimensional (3D) shape/pose of the object or the person. Representation information that indicates at least the determined identifier, position in the medical environment, and 3D shape/pose of the object or the person may be generated and then used (e.g., by a visualization device) together with one or more predetermined 3D models to determine a 3D model for the object or the person identified in the medical environment and generate a visual depiction of at least the object or the person in the medical environment based on the determined 3D model and the position of the object or the person in the medical environment.