Dynamic Endoscope Tracking to Avoid Lens Dirt Obstruction
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Solution Overview
Problem
Existing medical systems face challenges in maintaining a clear field of view during endoscopic procedures due to dirt adhering to the lens, which obstructs the tracking of treatment tools and affects the surgeon's ability to perform precise operations.
Innovation Solution
A control device that calculates the position of dirt on the endoscope lens and sets a target region at a position different from the dirt, allowing the endoscope to track the treatment tool within this region, thereby maintaining a clear field of view and ensuring precise tool tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the endoscope tracks the target of interest using a predetermined three-dimensional region, then the target tracking function is achieved, but the field of view becomes obstructed by dirt on the lens
Solution Approach 1:
The target region is dynamically adjusted based on the detected dirt position. Instead of using a fixed predetermined three-dimensional region, the system continuously updates the target region to avoid dirt-obstructed areas while maintaining tracking of the target of interest. This dynamic adaptation resolves the contradiction by allowing reliable tracking without fixed region constraints that would be blocked by dirt.
Solution Approach 2:
The system detects the harmful dirt obstruction and converts it into a beneficial feature by using the dirt position information to intelligently adjust the target region. The dirt detection data is transformed into useful guidance for repositioning the target region to clean areas, turning the harmful obstruction into a cue for improving field of view quality.
2Object-affected harmful factors
If the target region is adjusted to avoid dirt, then the field of view clarity is improved, but the tracking precision may be affected
Solution Approach 1:
The target region is locally adjusted only in the areas affected by dirt obstruction, while maintaining the original tracking functionality in clean areas. The system applies different region configurations to different spatial locations based on dirt position, preserving tracking precision in unaffected regions while improving clarity in dirt-affected regions.
Solution Approach 2:
The system implements a feedback loop where dirt detection results continuously inform target region adjustments, which in turn affect tracking performance. The tracking system monitors whether the adjusted region maintains adequate target visibility and makes further refinements as needed, ensuring both clarity and precision are optimized through iterative adjustment.
Data Source
AI summary
Provided is a control device for controlling movement of an endoscope. The endoscope acquires an image including a target of interest. The control device includes at least one processor. The processor is configured to acquire a position of the target of interest in a field of view of the endoscope, calculate a position of a dirt on the endoscope in the field of view, set a target region at a position different from the position of the dirt, and cause the endoscope to track the target of interest such that the target of interest is positioned within the target region based on the position of the target region and the position of the target of interest.