Multi-Source Volumetric Imaging With Temporal-Volatility Fusion
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Solution Overview
Problem
Conventional medical imaging techniques for interventional procedures require significant computational resources and latency, making real-time volumetric rendering from multiple sources inefficient.
Innovation Solution
A device and method for iteratively combining data from multiple medical imaging sources based on their temporal volatility, using a receiving unit, combining unit, and outputting unit to reduce computational cost and latency, allowing real-time volumetric imaging with ambient occlusion and subsurface scattering effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to combine data from multiple medical imaging sources, then comprehensive volumetric imaging is achieved, but computational resources and latency increase significantly
Solution Approach 1:
The patent segments the combination process by ordering data sources according to temporal volatility and processing them in hierarchical groups. Data from sources with similar temporal characteristics are combined together first, creating intermediate combined data sets that are then integrated sequentially. This segmentation reduces the computational complexity of combining all sources simultaneously while maintaining comprehensive volumetric imaging accuracy.
2Loss of information
If data from multiple medical imaging sources are combined in real-time, then comprehensive guidance information is provided, but computational cost increases
Solution Approach 1:
The patent applies preliminary action by pre-ordering data sources according to their temporal volatility characteristics before the actual combining process. This preliminary organization allows the system to efficiently determine which data sources to combine first and how to group them, reducing the computational energy required during real-time processing while ensuring all relevant information is incorporated into the final volumetric image.
Data Source
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AI summary
A technique for real-time volumetric imaging from multiple, N+1 with N at least two, medical imaging sources of a part of a body during an interventional procedure is provided. As to a device aspect, a device (100) comprises a receiving unit (102) configured to receive data regarding the part of the body from each medical imaging sources. The device (100) further comprises a combining unit (104) configured to iteratively combine the received data from each of the multiple medical imaging sources by ordering the data according to a temporal volatility based on the medical imaging source, combining the data of the two medical imaging sources with the two lowest temporal volatilities into a first intermediary combined data set, combining the first intermediary data set and the data from a third medical imaging source with the third lowest temporal volatility into a second intermediary combined data set, and continuing until identifying the N-th combined data set of the iteration as a combined final data set. The device (100) further comprises an outputting unit (106) configured to output a real-time volumetric image data set.