3D Calibration Target for Endoscope Accuracy
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Solution Overview
Problem
Existing calibration methods for endoscopic cameras are cumbersome, prone to errors, and require excessive time and training, especially in minimally invasive surgeries, due to difficulties in positioning calibration patterns and detecting functional degradation in imaging systems.
Innovation Solution
The development of three-dimensional target devices and methods that facilitate efficient camera calibration, color balance adjustment, and diagnostic testing for endoscopes, using a 3D target surface with intersecting planes and markers, which can be easily aligned with the endoscope to reduce calibration complexity and errors, and include features for automatic image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration methods are used, then calibration can be performed, but the process is cumbersome and requires excessive time and training
Solution Approach 1:
The patent transitions from traditional two-dimensional calibration targets to three-dimensional calibration targets with markers distributed across multiple planes and depths. This dimensional enhancement allows the endoscope to capture calibration data from multiple spatial perspectives simultaneously, reducing the number of positioning adjustments needed and accelerating the calibration process while maintaining high accuracy
Solution Approach 2:
The calibration system incorporates automated image processing and marker detection algorithms that automatically identify and analyze calibration markers without requiring manual intervention. The system self-calibrates by processing captured images through computational algorithms, eliminating the need for extensive operator training and reducing calibration time significantly
2Measurement precision
If manual positioning of calibration patterns is used, then calibration can be performed, but errors occur due to difficulty in positioning and orienting
Solution Approach 1:
The system provides real-time feedback through automated marker detection and alignment verification. The image processing algorithms continuously monitor the positioning of calibration markers and provide feedback signals to guide automatic adjustment mechanisms, ensuring precise positioning without manual intervention and eliminating human error in alignment
Solution Approach 2:
The patent replaces manual mechanical positioning with automated positioning systems that use computer vision and robotic mechanisms. The system automatically captures images of calibration targets, processes them computationally, and adjusts the endoscope or target position using automated mechanisms, substituting human manual positioning with programmable automated systems that eliminate positioning errors
3Ease of operation
If freehand holding of calibration target is used, then calibration can be performed, but motion blur occurs due to unsteady hands
Solution Approach 1:
The calibration target is nested within a stable support structure or integrated with the endoscope system. The target may be housed in a dedicated compartment or mounted on a stable platform that is part of the surgical system, providing mechanical stability that eliminates motion blur while maintaining ease of access and operation
Solution Approach 2:
The system performs preliminary stabilization by securing the calibration target in a fixed position before image capture begins. Automated positioning mechanisms pre-align the target and hold it steady throughout the calibration process, eliminating the possibility of motion-induced blur while keeping the operation simple for the user
4Stability of the object's composition
If large benchtop endoscopic support is used, then stability is achieved, but the system becomes too unwieldy for field use
Solution Approach 1:
The calibration system is divided into modular, compact segments that can be easily assembled and disassembled. The calibration target, support structure, and imaging components are segmented into separate units that fit together, providing stability when assembled but allowing easy transport and storage when separated, making the system suitable for field use
Solution Approach 2:
The patent employs three-dimensional calibration targets that provide enhanced stability through vertical and depth dimensions rather than requiring large horizontal footprints. The 3D structure distributes stability across multiple spatial dimensions, allowing a compact form factor that is portable for field use while maintaining rigorous calibration stability
5Measurement precision
If manual designation of pattern characteristics is required, then calibration can be performed, but errors occur in calibration
Solution Approach 1:
The calibration system performs self-service through automated image processing and marker detection. The system automatically captures images, identifies calibration markers through computer vision algorithms, extracts geometric characteristics, and computes calibration parameters without requiring manual designation by operators, eliminating human error while maintaining high automation
Solution Approach 2:
The patent replaces manual visual inspection and designation with automated computer vision systems and image processing algorithms. Optical sensors and computational algorithms automatically detect marker positions and characteristics, substituting human manual designation with programmable automated detection that eliminates errors and increases automation level
Data Source
AI summary
The present disclosure relates to calibration target devices, assemblies and methods for use with imaging systems, such as a stereoscopic endoscope. A calibration assembly includes: a target surface extends in three dimensions with calibration markers and a body with an interface that engages an endoscope so the markers are within the field of view. A first calibration marker extends along a first plane of the target surface and a second marker extends along a second plane of the target surface. The planes are different and asymmetric relative to the field of view as seen through the endoscope. Three-dimensional targets, in particular, enable endoscopic calibration using a single image (or pair of images for a stereoscopic endoscope) to reduce the calibration process complexity, calibration time and chance of error as well as allow the efficient calibration of cameras at different focus positions.