Distance-Based Weighting for Volume Visualization Clarity
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Solution Overview
Problem
Current volume visualization techniques, such as MIP and VIP, fail to effectively emphasize structures near the skin while attenuating deeper structures, leading to obscured views due to dominant bright structures like the heart in medical imaging, particularly in breast MRI.
Innovation Solution
A system that detects features, such as the skin border, computes distances to image elements, weights image element values based on distance, and generates two-dimensional views like maximum intensity projection or closest vessel projection, enhancing structures near the skin and attenuating deeper structures, using a distance-based weighting subsystem and transfer functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional volume visualization techniques (MIP, VIP) are used, then the complete volumetric data is displayed, but deeper structures dominate and obscure near-skin structures
Solution Approach 1:
The patent applies local quality by differentiating the treatment of voxels based on their spatial location. Voxels near the skin surface are assigned different weighting factors compared to deeper voxels, allowing near-skin structures to be enhanced while deeper structures are attenuated. This is achieved through distance computation from the skin surface and applying position-dependent transfer functions that modify voxel intensities locally rather than uniformly across the entire volume.
2Measurement precision
If distance-based weighting is applied to enhance near-skin structures, then visualization clarity improves, but the processing complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-computing distance maps from the skin surface before performing the actual volume rendering. This distance information is calculated once and stored, then reused during the rendering process to quickly determine weighting factors for each voxel. This approach avoids repeated distance calculations during rendering, reducing the overall processing complexity while maintaining visualization clarity.
3Device complexity
If uniform voxel weighting is used, then processing is simple, but orientation-dependent artifacts appear in the visualization
Solution Approach 1:
The patent applies parameter changes by modifying the weighting parameters of voxels based on their distance from the skin surface. Instead of using uniform weighting, the system dynamically adjusts voxel weights according to the distance parameter, creating a distance-dependent transfer function. This ensures that the visualization remains consistent and free from orientation-dependent artifacts, as the weighting is determined by spatial position rather than viewing angle or projection direction.
Data Source
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AI summary
A volume visualization, i.e volume rendering, system comprising a feature detector for detecting a feature like a border between body and air (e.g. skin) in an image volume dataset. A distance computing subsystem is arranged for computing a distance from the feature, e.g. a border, a boundary or skin to an image element of the image volume dataset. A weighting subsystem is arranged for weighting an image element value of the image element, based on the distance, to obtain a weighted image element value. A view generator is arranged for generating a view of the image volume dataset, based on the weighted image element value, wherein a view element value of the view is based on the weighted image element value. The view comprises a two-dimensional image view, and the view element value comprises a pixel value.