Medical Imaging Surface Rendering with Dual-Model Threshold Adjustment
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Solution Overview
Problem
In medical imaging, accurate surface rendering is crucial for minimally invasive surgeries, but existing algorithms face inefficiencies due to errors in imaging data, particularly signal inhomogeneity, leading to prolonged processing times and inefficiencies when adjusting threshold values for precise surface extraction.
Innovation Solution
A system and method that utilizes a first model for initial surface rendering, followed by a faster-to-compute second model for updating depth positions based on adjusted threshold values, allowing for efficient rendering and validation of updated surface thresholds, with the option to switch back to the first model for refined accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a first model is used for initial surface rendering, then accurate surface extraction is achieved, but processing time is excessive
Solution Approach 1:
The patent divides the surface rendering process into two distinct models: a first model for initial accurate surface extraction and a second model for rapid threshold adjustment visualization. This segmentation allows each model to be optimized for its specific function, resolving the contradiction between accuracy and speed.
Solution Approach 2:
The first model performs preliminary surface extraction to establish an initial accurate surface. This preliminary action creates a foundation that allows subsequent threshold adjustments to be visualized quickly using the second model, without requiring repeated full processing of the first model.
2Measurement precision
If threshold value adjustments are made repeatedly to achieve acceptable surface extraction, then accuracy is improved, but operational efficiency deteriorates
Solution Approach 1:
The patent creates a second model that copies the essential visualization functionality from the first model but is optimized for rapid rendering. This copy allows multiple threshold adjustments to be visualized quickly without repeatedly processing the full first model, thus improving operational efficiency while maintaining the ability to achieve accurate surface extraction.
3Device complexity
If a single model is used for both initial rendering and threshold adjustment, then system complexity is reduced, but processing efficiency decreases
Solution Approach 1:
The patent implements a dynamic system where the appropriate model (first or second) is selected based on the current operational need. The first model is used for initial accurate extraction, while the second model is used for rapid threshold adjustment visualization. This dynamic approach optimizes processing efficiency without significantly increasing system complexity.
Data Source
AI summary
A method, system and apparatus for surface rendering using medical imaging data is provided. A display device is controlled to render a first model of imaging data showing depth positions corresponding to a given surface threshold value, and further controlled to replace the first model with a second model of the imaging data showing respective depth positions corresponding to the given surface threshold value, the second model being faster to compute than the first model. The given surface threshold value is changed to an updated surface threshold value, for example using a slider input. The display device updates rendering of the second model to show updated respective depth positions corresponding to the updated surface threshold value. When an acceptance is received, the display device is controlled to replace the second model with the first model showing updated depth positions corresponding to the updated surface threshold value.