3D Model Generation via Image Synthesis for Portable Volume Rendering
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Solution Overview
Problem
Existing systems face challenges in providing fast, efficient, and interactive volume rendering of large data sets on devices with limited computing power, such as smartphones or tablets, due to portability issues and complexity in parameter selection for generating suitable visualization images.
Innovation Solution
A method and apparatus that pre-process and optimize volume data by generating a 3D model through image synthesis algorithms, allowing for the creation of multiple visualization images which are then used to calculate a 3D model, enabling efficient and portable visualization on devices with less computing power, and allowing users to interactively view the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If volume rendering is performed directly on devices with limited computing power, then portability is improved, but rendering speed and quality deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-processing the volume data to generate a 3D model and multiple visualization images before transferring them to the portable device. The computing-intensive rendering operations are performed in advance on a powerful system, and the results are then transferred to the portable device for quick display and interactive viewing, thus achieving fast rendering on devices with limited computing power.
2Manufacturing precision
If full volume data is transferred to portable devices, then visualization quality is improved, but data transfer time and device memory requirements increase
Solution Approach 1:
The patent applies the extraction principle by separating the essential visualization information from the complete volume data. Instead of transferring all raw volume data, the system extracts and transfers only the pre-rendered visualization images and 3D model data that are necessary for high-quality display on portable devices, significantly reducing transfer time and memory requirements while maintaining visualization quality.
3Measurement precision
If complex parameter settings are provided for image synthesis, then visualization accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies self-service by implementing automated parameter optimization where the system automatically selects and adjusts the optimal parameters for image synthesis based on the specific volume data and desired visualization goals. This eliminates the need for users to manually configure complex parameters, making the system easy to operate while maintaining high visualization accuracy through algorithmic parameter optimization.
Data Source
AI summary
A method for supplying a three-dimensional model of an object represented by volume data, comprises: supplying the volume data; supplying an image synthesis algorithm, the image synthesis algorithm being configured for visualizing the three-dimensional object by mapping the volume data onto visualization pixels of a two-dimensional visualization image; ascertaining a parameter set for actuating the image synthesis algorithm, the parameter set being suitable for generating, with the image synthesis algorithm, a set of a plurality of different visualization images based on the volume data set; generating the set of the plurality of different visualization images by mapping the volume data, with the image synthesis algorithm, using the parameter set; calculating the 3D model based on the set of the plurality of different visualization images; and supplying the 3D model.