VR Volume Visualization System with Dynamic Voxel Segmentation
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Solution Overview
Problem
Current technologies face challenges in quickly loading and interactively visualizing high-resolution volume image data, particularly in virtual reality (VR) or augmented reality (AR) environments, which is crucial for medical diagnostics and other applications like industrial scanning and scientific data visualization.
Innovation Solution
The development of a system that utilizes geometric primitives called 'voxels' arranged in volumes, enabling fast loading and interactive 3D visualization of medical imaging scans through portable workstations equipped with VR/AR devices and haptic feedback, allowing users to manipulate and understand complex data sets in a VR/AR environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution volume image data is loaded for detailed medical diagnostic visualization, then image quality and diagnostic precision are improved, but loading time and data processing duration increase
Solution Approach 1:
The patent divides the high-resolution volume image data into multiple lower-resolution sub-volumes or data chunks that can be loaded and processed separately. This segmentation allows the system to progressively load data at different resolution levels, providing quick initial visualization while enabling detailed examination of specific regions of interest without requiring the entire high-resolution dataset to be loaded at once.
Solution Approach 2:
The system performs preliminary processing and preprocessing of volume image data before it is needed for diagnostic visualization. This includes pre-computing downsampled versions, pre-segmenting data into manageable chunks, and pre-organizing data structures for efficient access. These preliminary actions reduce the computational burden during actual diagnostic sessions, enabling faster loading and interaction with high-resolution data.
2Ease of operation
If interactive manipulation of volume data is enabled in VR/AR environment, then user understanding and diagnostic capability are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces intermediary computational layers and proxy objects that mediate between the complex volume data and the user's interactive operations in the VR/AR environment. These intermediaries handle complex computations such as real-time rendering, collision detection, and interaction physics, allowing users to manipulate and explore volume data intuitively without the system's internal complexity being exposed. The intermediaries translate high-level user actions into complex computational operations behind the scenes.
3Productivity
If quick loading of volume data is implemented, then productivity and diagnostic efficiency are improved, but visualization quality and interactivity may be compromised
Solution Approach 1:
The patent implements dynamic loading and rendering strategies where the visualization quality and level of detail are adjusted dynamically based on user interaction, viewing distance, and region of interest. When users are viewing or interacting with specific regions, those areas are rendered at high resolution with full interactivity, while other areas use lower-resolution proxies. This dynamic approach ensures that diagnostic quality is maintained where needed while enabling quick overall loading and navigation of the entire volume dataset.
Data Source
AI summary
The present technology relates to devices and systems for volume visualization and interaction in a virtual reality environment.