Medical System 3D Information Generation Using Local Quality Algorithms
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Solution Overview
Problem
Existing medical systems struggle to generate highly accurate 3D information in real time, particularly when fine unevenness such as blood vessels in an operative field image is involved, due to the high computational demands of algorithms required for such accuracy.
Innovation Solution
A medical system that includes an imaging unit for capturing operative field images, a first generation unit using a first algorithm like Visual SLAM for real-time 3D information generation, and a second generation unit using a second algorithm like Multi-view stereo for generating highly accurate 3D information specifically for areas of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high-accuracy algorithm (e.g., Multi-view stereo) is used to generate 3D information, then measurement precision is improved, but productivity deteriorates due to large calculation amounts and inability to generate in real time
Solution Approach 1:
The patent applies different algorithms to different regions of the operative field based on their importance. For the area of interest (high-priority region), a high-accuracy algorithm is used to generate precise 3D information, while for other regions, a lower-computation algorithm is sufficient. This local differentiation resolves the contradiction by concentrating computational resources where they are most needed, achieving high measurement precision in critical areas without sacrificing overall real-time performance.
2Measurement precision
If a high-accuracy algorithm is used for the entire operative field, then measurement precision is improved, but device complexity increases due to large calculation requirements
Solution Approach 1:
The patent segments the operative field into an area of interest and other regions, then applies different processing algorithms to each segment. This segmentation reduces overall device complexity by avoiding the application of high-computation algorithms across the entire field. The complex high-accuracy algorithm is only applied to the segmented area of interest, while simpler algorithms handle the remaining regions, thus resolving the contradiction between measurement precision and device complexity.
3Productivity
If real-time 3D information generation is prioritized, then productivity is improved, but measurement precision deteriorates due to use of lower-computation algorithms
Solution Approach 1:
The patent ensures that the area of interest receives high-precision 3D information through dedicated high-accuracy algorithm processing, while other regions use faster, lower-computation algorithms. This local quality differentiation resolves the contradiction by guaranteeing measurement precision where it matters most (in the area of interest) while maintaining overall real-time productivity across the entire operative field.
Data Source
AI summary
The present technology relates to a medical system, a signal processing device, and a signal processing method capable of obtaining highly accurate three-dimensional (3D) information in real time. Further, first 3D information regarding an operative field is generated with a first algorithm by using an operative field image obtained by imaging the operative field. In a case where an area of interest is set in the operative field image, second 3D information regarding the area of interest is generated with a second algorithm different from the first algorithm.