Dynamic 3D Medical Image Rendering with Adaptive Sampling
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Solution Overview
Problem
Current medical imaging technologies face challenges in rendering high-quality, interactive three-dimensional data sets efficiently, as increasing data sizes lead to slow rendering times and reduced image quality, especially in regions of interest, due to uniform rendering methods that do not account for varying levels of detail and user interaction.
Innovation Solution
A method that dynamically varies the rendering quality and sampling rate based on user interaction, focusing on high-quality rendering in regions of interest and reducing quality in less relevant areas, switching to full-quality rendering when interaction stops, allowing for faster visualization and improved detail in critical areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform rendering is applied to the entire image at high resolution, then image quality is improved, but rendering time increases significantly
Solution Approach 1:
The patent applies different rendering qualities to different regions of the image based on their importance. Regions of interest (ROI) are identified and rendered at high resolution, while non-ROI areas are rendered at lower resolution. This resolves the contradiction by maintaining high image quality where needed while reducing overall rendering time through selective quality adjustment.
Solution Approach 2:
The image is segmented into multiple regions based on their importance or interest level. This segmentation allows the system to apply different rendering strategies to different parts of the image simultaneously, achieving both fast rendering for non-critical areas and high quality for critical areas, thus resolving the time-quality tradeoff.
2Productivity
If uniform rendering at lower resolution is used for interactive preview, then rendering speed is improved, but image quality deteriorates in regions of interest
Solution Approach 1:
Instead of uniformly reducing resolution across the entire image, the patent applies local quality adjustment by identifying regions of interest and maintaining high resolution specifically in those areas while reducing resolution in non-essential areas. This ensures that interactive preview remains fast overall while preserving critical detail in ROI areas.
Solution Approach 2:
The rendering quality is made dynamic and adaptive based on user interaction. As users interact with the image and indicate regions of interest, the system dynamically adjusts the rendering quality of those specific regions, transitioning from lower quality in preview mode to higher quality when needed, thus maintaining both speed and quality as appropriate.
3Measurement precision
If full-resolution rendering is used during interactive navigation, then image quality is maintained, but interactive responsiveness deteriorates
Solution Approach 1:
The system dynamically adjusts rendering quality based on the interactive state. During active user interaction and navigation, the system uses lower resolution rendering to maintain responsiveness and fast update rates. When interaction pauses or focuses on specific regions, the system dynamically switches to higher resolution rendering for those areas, thus maintaining both interactivity and quality as appropriate for the current state.
Solution Approach 2:
The rendering quality is updated periodically or event-driven rather than continuously at full resolution. The system performs high-quality rendering at key moments (such as when interaction stops or ROI is confirmed) while using lower-quality incremental updates during active interaction, maintaining a balance between quality and responsiveness through periodic quality enhancement.
Data Source
AI summary
Medical imaging modalities generate increasingly more and very large three-dimensional data sets. According to an exemplary embodiment of the present invention, a three-dimensional data set of an object of interest is interactively visualized with a varying sampling rate in an image. Advantageously, a focus area may be moved by a user interactively during rendering, wherein the sampling rate of a particular part of the image is defined by its relative position to the focus area. Advantageously, this may allow for an improvement of an overall rendering performance.