Surgical Imaging Calibration Drift Detection Using a Rigid Body
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Solution Overview
Problem
Multicamera imaging systems experience calibration drift due to environmental factors such as heat, leading to reduced accuracy and repeatability over time, which is difficult to detect during normal operation.
Innovation Solution
A method and system for updating the calibration of an imaging system during an imaging procedure by capturing image data of a rigid body with known geometry, determining calibration drift, and adjusting the calibration to account for environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the imaging system operates continuously without recalibration, then productivity is improved, but measurement precision deteriorates due to calibration drift
Solution Approach 1:
The system performs preliminary calibration using a calibration target at the beginning of each imaging procedure to establish accurate initial parameters before actual surgical imaging begins, preventing calibration drift from affecting measurement precision during continuous operation
Solution Approach 2:
The system continuously monitors calibration quality metrics during operation and automatically triggers recalibration when drift exceeds thresholds, creating a feedback loop that maintains measurement precision without requiring manual intervention or stopping productivity
2Measurement precision
If manual calibration verification is performed frequently, then measurement precision is maintained, but loss of time increases
Solution Approach 1:
The system automatically performs calibration verification by capturing images of the calibration target and computing calibration quality metrics without user intervention, eliminating the time loss associated with manual verification while maintaining measurement precision through continuous monitoring
3Reliability
If recalibration is performed frequently, then reliability is improved, but loss of time increases due to system interruption
Solution Approach 1:
The system continuously computes calibration quality metrics during operation and only triggers recalibration when drift exceeds predetermined thresholds, maintaining reliability by addressing calibration issues only when necessary rather than performing frequent unnecessary recalibrations that would interrupt productivity
Solution Approach 2:
The system performs a comprehensive calibration at the beginning of each procedure to establish a robust baseline, reducing the frequency of subsequent recalibrations needed during continuous operation and minimizing interruptions to productivity
Data Source
AI summary
Methods and systems for calibrating an imaging system having a plurality of sensors are disclosed herein. In some embodiments, a method includes initially calibrating the imaging system, operating the imaging system during an imaging procedure, and then updating the calibration during the imaging procedure to account for degradation of the initial calibration due to environmental factors, such as heat. The method of updating the calibration can include capturing image data of a rigid body having a known geometry with the sensors and determining that the calibration has drifted for a problematic one of the sensors based on the captured image data. After determining the problematic one of the sensors, the method can include updating the calibration of the problematic one of the sensors based on the captured image data.