CT Image Rendering via Depth Adjustment and Ray Casting
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Solution Overview
Problem
Current CT imaging systems with single-column or few-column detectors suffer from large interlayer gaps and poor 3D image definition, making it difficult to identify targets in reconstructed images, and existing volume rendering techniques like Ray Casting and Two-Level Volume Rendering fail to provide adequate visual priority and spatial relation preservation.
Innovation Solution
A method involving acquiring 2D image data of backgrounds and targets, rendering them into 3D images, adjusting the background based on the target's hit position using Multiple Render Targets and Ray Casting, and synthesizing these images to enhance target visibility and preserve spatial relations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Ray Casting method is used for volume rendering, then imaging quality is improved through Trilinear Interpolation, but the result is limited to 2D image without recording spatial position relations
Solution Approach 1:
The patent transitions from 2D rendering to 3D rendering by introducing depth information through Multiple Render Targets (MRT). The system renders front and back depth images separately and combines them to create a 3D representation that preserves spatial position relations while maintaining high imaging quality through Ray Casting with Trilinear Interpolation.
2Adaptability or versatility
If Two-Level Volume Rendering technique is used, then segmented and original data can be displayed synthetically, but imaging quality deteriorates and noticeable transition phenomenon occurs upon viewangle change
Solution Approach 1:
The patent applies different rendering strategies to different parts of the image. The target region is rendered with high-quality Ray Casting method to maintain imaging quality, while the background uses adjusted depth mapping. This local differentiation allows synthetic display of segmented data without compromising overall imaging quality or producing transition phenomena.
3Device complexity
If single-column or few-column detectors are used in CT imaging system, then cost and volume are reduced, but interlayer gap increases and 3D image definition deteriorates
Solution Approach 1:
The patent performs preliminary processing of the CT image data by adjusting the background depth information before final synthesis. By pre-adjusting the front-depth and rear-depth background images based on the target's hit position, the system compensates for the limitations of single-column detectors and improves 3D image definition without requiring complex multi-column detector configurations.
Data Source
AI summary
The present disclosure provides a method for rendering of CT image data. The method includes acquiring 2D image data of a background and 2D image data of a target; rendering the 2D image data of the target into a 3D image of the target to obtain a first hit position of a ray; rendering the 2D image data of the background into a 3D image of the background; adjusting the 3D image of the background based on the first hit position; and synthetically rendering the 3D image of the background and the 3D image of the target. The present disclosure also provides apparatus for implementing the method.