Surgical Imaging Sensor Dynamic Calibration via Endo-Illumination Feedback
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Solution Overview
Problem
Surgeons face challenges with poor visibility in deep cavities during surgeries due to inadequate illumination, and current surgical cameras lack real-time adjustment capabilities to match changing illumination conditions, leading to suboptimal image quality.
Innovation Solution
An integrated system that communicates illumination parameters from endo-illumination systems to surgical imaging systems, allowing for automatic adjustments of optical imaging sensor parameters such as exposure, sensitivity, and white balance, enabling dynamic calibration of camera settings based on real-time illumination data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed camera scene files are used for different illumination settings, then the camera can be calibrated for specific illumination conditions, but the settings cannot adapt to real-time changes in illumination during surgery
Solution Approach 1:
The patent transforms static camera scene files into dynamic settings by continuously monitoring illumination parameters (intensity, color temperature, spectrum) from the endo-illumination system and automatically adjusting camera parameters (exposure, gain, white balance, color correction) in real-time. This dynamic adaptation ensures optimal image quality regardless of illumination changes during surgery.
Solution Approach 2:
The system establishes a feedback loop where the surgical imaging system receives illumination parameter data from the endo-illumination system and uses this information to automatically adjust camera settings. The continuous monitoring and adjustment based on feedback from illumination changes resolves the contradiction between fixed calibration and real-time adaptability.
2Adaptability or versatility
If manual adjustment of camera settings is performed during surgery, then the surgeon can adapt to changing illumination conditions, but this increases the complexity of operation and time consumption
Solution Approach 1:
The system performs self-adjustment by automatically monitoring illumination parameters and modifying camera settings without requiring manual intervention from the surgeon. The endo-illumination system and surgical imaging system work together autonomously to maintain optimal image quality, eliminating the need for manual scene file switching or parameter adjustment.
Solution Approach 2:
The automatic feedback mechanism continuously monitors illumination conditions and adjusts camera parameters accordingly, replacing manual adjustment operations. This eliminates the operational complexity and time consumption associated with manual scene file selection while maintaining adaptability to illumination changes.
3Measurement precision
If multiple scene files are prepared for different illumination settings, then the camera can be optimized for various lighting conditions, but switching between scene files increases time loss and operational complexity
Solution Approach 1:
Instead of using multiple static scene files that require switching, the system implements dynamic real-time adjustment of camera parameters based on continuous monitoring of illumination conditions. This eliminates the need for scene file switching while maintaining optimized image quality for current illumination settings.
Solution Approach 2:
The continuous feedback loop from the endo-illumination system allows the camera to automatically adapt to illumination changes without requiring manual scene file switching. This real-time feedback mechanism eliminates time loss associated with selecting and switching between pre-configured scene files.
Data Source
AI summary
Examples relate to a system for a scientific or surgical imaging system, to a scientific or surgical imaging system comprising such a system, and to a corresponding method and computer program. The system comprises one or more processors and one or more storage devices. The system is configured to obtain information on one or more illumination parameters used by an illumination system, the illumination system being separate from the scientific or surgical optical imaging system, from the illumination system. The system is configured to determine at least one parameter for using an optical imaging sensor of an imaging device of the scientific or surgical optical imaging system based on the one or more illumination parameters.