SEE Distortion Correction via Tangential Radial Shift
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Solution Overview
Problem
Spectrally encoded endoscopes (SEE) face distortion issues due to fabrication and assembly problems, leading to shifted scanning spectral lines, which current methods fail to efficiently correct, especially in real-time.
Innovation Solution
A method involving the use of reference patterns, such as radial lines and concentric circles, to determine and correct tangential and radial shifts in the spectral line, allowing for real-time distortion correction by calculating the actual location of radial lines using equations that account for the shifts in polar and Cartesian coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference patterns and coordinate transformations are used to correct distortion, then image accuracy is improved, but device complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction parameters (tangential shift and radial shift values) through coordinate transformations before actual imaging. The system performs distortion correction calculations in advance using reference patterns, creating lookup tables or correction maps that can be quickly applied during real-time imaging, thus reducing processing complexity during operation while maintaining high image accuracy
Solution Approach 2:
The patent introduces an intermediary correction layer between the distorted spectral line scan and the final image reconstruction. By inserting tangential and radial shift correction parameters as intermediate variables, the system mediates the transformation from distorted coordinates to corrected coordinates, enabling accurate distortion compensation without requiring complete reprocessing of the imaging system
2Measurement precision
If real-time distortion correction is implemented, then image quality is improved, but processing speed may be reduced
Solution Approach 1:
The system performs distortion correction calculations in advance during system initialization or calibration phases, pre-computing correction parameters that are then stored for rapid retrieval during real-time imaging. This preliminary computation separates the heavy processing burden from the real-time imaging workflow, enabling both high image quality and maintained processing speed during actual operation
Solution Approach 2:
The patent transforms the distortion correction problem from a complex spatial transformation into a parameter-based correction system. By changing from direct coordinate transformation to parameter-based correction (using tangential shift and radial shift parameters), the system enables efficient real-time correction through simple parameter application rather than complex iterative calculations, thus maintaining both image quality and processing speed
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient decomposition and correction of orthogonal tangential and radial distortions in SEE images, improving image accuracy and resolution by accurately determining and adjusting the spectral line shifts, thereby addressing the distortion challenges faced by SEE technology.
Implementation Method 1
The polychromatic light emanating from the SEE probe is spectrally dispersed and projected in such a way that each color (wavelength) illuminates a different location on a target, such as a tissue, along a line (the dispersive line)
Data Source
AI summary
Methods, apparatuses, systems, and storage mediums for correcting distortion of a spectrally encoded endoscopy (SEE) image are provided. A first reference pattern comprising a plurality of radial lines is scanned with an SEE spectral line to obtain a first image. Signs of a tangential shift and/or of a radial shift of the spectral line may be determined, and magnitudes of the tangential shift and of the radial shift may be computed. A second reference pattern comprising at least a circle with the SEE spectral line may be scanned to obtain a second image in a case where the radial shift is positive. The magnitude of the radial shift may be computed based on the magnitude of the tangential shift and a radius of the circle. The tangential shift and the radial shift may then be applied for correcting distortion.