3D IVUS Visualization with Depth-Based Voxel Shading
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Solution Overview
Problem
Current diagnostic techniques require operators to manually reconstruct three-dimensional structures from two-dimensional IVUS images, which can be challenging for inexperienced doctors, making it difficult to grasp unevenness and depth in three-dimensional spaces.
Innovation Solution
A diagnostic assistance device that generates three-dimensional data from tomographic data and displays it as an image, adjusting the color tone of each voxel based on its distance from a reference point, line, or plane, to enhance the visualization of depth and unevenness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic generation of three-dimensional image is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent segments the three-dimensional image generation process into distinct functional modules: (1) automatic 3D reconstruction module that converts 2D IVUS images to 3D data, (2) shading control module that independently adjusts lighting and shadow parameters, (3) depth enhancement module that applies depth-based filtering and processing, and (4) display module that renders the final image. This segmentation allows each module to be optimized independently, reducing overall system complexity while maintaining ease of operation.
Solution Approach 2:
The patent introduces an intermediary processing layer between the raw 2D IVUS images and the final 3D display. This intermediary includes a virtual camera system and rendering engine that automatically computes lighting, shadows, and depth information. The intermediary translates complex 3D geometric data into visually intuitive representations without requiring the operator to manually process the data, thus improving ease of operation while the automated nature keeps device complexity manageable.
2Shape
If shading is added to three-dimensional image, then depth representation is improved, but color tone differentiation becomes insufficient
Solution Approach 1:
The patent applies local quality enhancement by adjusting shading parameters differently for different regions of the three-dimensional image. The depth enhancement module identifies regions with significant depth variations and applies enhanced shading only to those regions, while maintaining simpler rendering for flat areas. This localized approach improves depth representation where needed without creating excessive color tone variations throughout the entire image, thus resolving the contradiction between depth representation and color tone differentiation.
Solution Approach 2:
The patent implements dynamic shading adjustment where the lighting and shadow parameters are automatically modified based on the depth information of each pixel. The rendering system dynamically adjusts the intensity, direction, and color temperature of shadows according to the local depth characteristics. This dynamic approach enhances depth perception without creating static, uniform color patterns, allowing for both good depth representation and adequate color tone differentiation across the image.
Data Source
AI summary
A diagnostic assistance device is a diagnostic assistance device configured to generate three-dimensional data of a biological tissue based on tomographic data of the biological tissue, and display the generated three-dimensional data as a three-dimensional image on a display. The diagnostic assistance device includes a control unit configured to adjust a color tone of each voxel of the three-dimensional image according to a distance from a reference point, a reference line, or a reference plane in a three-dimensional space to each point of the three-dimensional data.