In-Context MPR Visualization Using Virtual Incision Volume
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Solution Overview
Problem
Existing methods for multi-planar reconstruction (MPR) visualization in medical imaging often struggle to effectively integrate MPR images with direct volume rendering, making it difficult to visualize the spatial relationship of anatomical structures and requiring segmentation information for importance-driven visualization.
Innovation Solution
The method embeds MPR images within direct volume rendered images using a combination of direct volume rendering and MPR rendering, allowing interactive modification of the incision region to reveal the inside of the image volume without requiring segmentation information, by applying different transfer functions based on proximity to the MPR plane and performing tri-linear interpolation and window leveling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MPR images are displayed separately from direct volume rendering, then MPR visualization quality is maintained, but spatial relationship understanding between anatomical structures deteriorates
Solution Approach 1:
The patent merges MPR images with direct volume rendering by embedding the MPR plane within the 3D volume. The MPR image is rendered at a specific depth plane, and volume pixels are rendered at different depths relative to this plane. This integration allows users to view anatomical structures in their natural 3D spatial context while maintaining the high-quality 2D MPR visualization, thereby improving spatial relationship understanding without sacrificing visualization quality.
Solution Approach 2:
The patent transitions from separate 2D MPR displays to a 3D integrated view by embedding the MPR plane within the volumetric data space. The MPR image is positioned at a specific z-depth plane within the 3D volume, and volume rendering occurs at multiple depth levels relative to this plane. This dimensional integration enables users to perceive spatial relationships that are not visible in separate 2D views.
2Measurement precision
If segmentation information is used for importance-driven visualization, then visualization accuracy is improved, but processing complexity and data requirements worsen
Solution Approach 1:
The patent extracts the MPR plane definition from the volumetric data itself, using the inherent geometric structure of the volume to define the rendering plane. Instead of requiring external segmentation information to identify important structures, the system uses the MPR plane equation (defined by its normal vector and distance from origin) to selectively render volume pixels at different depths. This approach maintains visualization accuracy while eliminating the need for complex segmentation processing.
3Illumination intensity
If MPR plane is rendered opaque, then MPR image visibility is maintained, but visualization of internal anatomical structures deteriorates
Solution Approach 1:
The patent applies different rendering properties to different regions of the volume relative to the MPR plane. Volume pixels at depths less than the MPR plane depth are rendered with one set of properties (visible through the plane), while volume pixels at greater depths are rendered with different properties (occluded by the plane). This local differentiation allows the MPR plane to remain visible for anatomical reference while simultaneously enabling visualization of internal structures on either side of the plane.
Solution Approach 2:
The patent creates a dynamic rendering system where the MPR plane can be interactively adjusted and where the rendering properties of volume pixels change based on their relative depth to the plane. Users can dynamically modify the plane position and orientation to access different anatomical regions, and the system automatically adjusts which volume pixels are rendered visible or occluded, providing flexible control over the visualization.
Data Source
AI summary
A method for multi-planar reconstruction of digitized medical images includes providing an image volume, sampling the neighborhood about each point in a planar region and saving a color value and a depth, providing a projection plane onto which rendering rays are projected from a viewing point through said image volume, advancing sampling points along rays through the image volume, computing depths of each sampling point, determining for sampling points on rays that penetrates the planar region if a depth of said sampling point is less than the buffer depth of a corresponding point in the planar region and sampling neighborhoods of points about such sampling points, determining if sampling points are near said planar region, applying first transfer function to sample values interpolated from first volume for sampling points close to or inside the planar region, and otherwise applying second transfer function to sample values interpolated from second volume.