Medical Image Rendering via 3D Vector Blending
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Solution Overview
Problem
Current medical imaging techniques, such as Volume Rendering Technique (VRT), face challenges with high response time and low picture quality during interaction, especially when rendering fused images from multiple modalities like CT and PET, which hampers deep and precise diagnosis or treatment.
Innovation Solution
A method and system that generate a 3D vector representation of a selected heart part and blend it with a 3D voxel dataset in a common buffer for rendering, allowing for faster and more efficient visualization by processing and rendering separately and combining at runtime, with options for highlighting specific areas using color mapping and windowing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If Volume Rendering Technique is used to render fused images from multiple modalities, then comprehensive diagnostic information is provided, but response time becomes very high and picture quality deteriorates
Solution Approach 1:
The patent divides the rendering process into two separate stages: (1) generating a 3D vector representation from medical image data, and (2) rendering the final image using this vector representation. This segmentation allows the complex fused image rendering to be broken down into manageable steps, improving response time while preserving diagnostic information quality.
Solution Approach 2:
The patent performs preliminary generation of 3D vector representations from medical image data before the actual rendering process. This preliminary action pre-processes the data into an optimized format, enabling faster rendering response times when diagnostic images need to be displayed or manipulated.
2Loss of information
If Volume Rendering Technique is used to render fused images from multiple modalities, then comprehensive diagnostic information is provided, but picture quality becomes low
Solution Approach 1:
The patent applies different processing qualities to different parts of the rendering pipeline. The 3D vector representation is generated with high precision to preserve diagnostic information, while the final rendering uses this pre-processed data to maintain picture quality. This local quality approach ensures both diagnostic accuracy and visual quality.
3Productivity
If 3D vector representation is generated and blended with 3D voxel dataset separately, then processing speed improves, but system complexity increases
Solution Approach 1:
The patent introduces a 3D vector representation as an intermediary data structure between the medical image data and the final rendered image. This intermediary serves as a bridge that simplifies the blending process between different imaging modalities, improving processing speed while managing system complexity through a well-defined intermediate format.
Data Source
AI summary
At least one embodiment of the present invention provides a fast method and system for rendering a medical image. At least one embodiment of the method includes providing a 3D voxel dataset of the heart and generating a 3D vector representation of a selected part of the heart. At least one embodiment of the method further involves the blending of the 3D voxel dataset and the 3D vector representation in a common buffer and finally rendering the medical image, wherein the rendering is based on the blended 3D voxel dataset and the 3D vector representation, such that the selected part of the heart is highlighted.