Volume Data Rendering with Historical Frames for Camera Motion
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Solution Overview
Problem
Physically based rendering techniques for volume data, such as medical 3D imaging, are computationally intensive and require restarting path tracing operations when the camera moves, leading to inefficiencies and increased computational demands.
Innovation Solution
A method and system that utilize path tracing operations on volume data to obtain an initial image, determine reference parameters, and generate a target image using historical image data and an image processing model, reducing the need to restart operations when the camera moves by leveraging spatial and time domain information from previous frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If path tracing operation is restarted from the beginning when the camera moves, then rendering accuracy is maintained, but computational time and complexity increase significantly
Solution Approach 1:
The system performs preliminary path tracing operations to generate an initial image and stores intermediate results. When the camera moves, instead of restarting from scratch, the system utilizes these pre-computed results as a foundation, significantly reducing the computational time required for re-rendering while maintaining rendering accuracy.
Solution Approach 2:
The system creates a copy of the initial image and intermediate path tracing results in memory. When camera movement occurs, the system copies and adapts these existing results rather than regenerating them entirely, which reduces computational complexity while preserving the essential rendering quality.
2Measurement precision
If path tracing operation is performed on each pixel for real-time interaction, then rendering quality is improved, but device complexity and computational resources increase
Solution Approach 1:
Instead of performing complete path tracing operations on all pixels for every frame, the system performs partial path tracing only on pixels that have changed or are affected by camera movement. This selective approach maintains rendering quality in affected regions while significantly reducing overall computational resource requirements.
Solution Approach 2:
The rendering process is segmented into initial path tracing operations and subsequent update operations. The system divides the image into regions that require full re-rendering and regions that can utilize cached results, optimizing the distribution of computational resources across different parts of the rendering pipeline.
3Productivity
If traditional ray-cast volume rendering is used, then computational efficiency is maintained, but visual appeal and lifelike quality are reduced
Solution Approach 1:
The system merges traditional ray-cast volume rendering with path tracing techniques. It combines the computational efficiency of ray-casting for base rendering with the visual quality of path tracing for global illumination and shadowing effects, achieving both speed and lifelike image quality simultaneously.
Solution Approach 2:
The system maintains continuous rendering operations by avoiding complete restarts. It continuously updates the rendering based on camera movement while preserving previously computed illumination and shadowing information, ensuring both efficiency and visual quality are maintained throughout the interaction.
Data Source
AI summary
The present disclosure relates to systems and methods for volume data rendering. The methods may include obtaining an initial image relating to volume data of a subject by performing a path tracing operation on the volume data, obtaining a total sampling operation count corresponding to the initial image, determining, based on the volume data, one or more reference parameters relating to the initial image, and generating, based on historical image data relating to the volume date of the subject, the initial image, the total sampling operation count, and the one or more reference parameters, a target image using an image processing model.