Equal-Interval Wavenumber Spectral Conversion for OCT Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optical coherence tomographic imaging methods in the medical field face challenges in obtaining accurate tomographic information due to the conversion of wavelength spectra into wavenumber spectra without equal intervals, which affects the precision of the images obtained.
Innovation Solution
The method involves acquiring a wavelength spectrum, converting it into a wavenumber spectrum with equal intervals through interpolation and resampling, and then using this wavenumber spectrum to obtain accurate tomographic information, allowing for more precise imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wavelength spectrum is directly converted to wavenumber spectrum without equal intervals, then measurement time is reduced, but tomographic information accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the relationship between wavelength and wavenumber values before actual measurement. A lookup table is prepared in advance that maps wavelength values to corresponding equal-interval wavenumber values, allowing rapid conversion during measurement without sacrificing accuracy.
Solution Approach 2:
The patent uses preliminary action by pre-generating interpolation data that converts unequal-interval wavenumber spectra into equal-interval spectra. This preprocessing step creates a transformation framework that can be rapidly applied during actual measurements, maintaining both speed and accuracy.
2Measurement precision
If reference mirror position is changed multiple times for measurement, then spectral resolution is improved, but measurement time increases and position control complexity increases
Solution Approach 1:
The patent extracts the spectral resolution improvement from the mechanical movement of the reference mirror by using computational methods instead. The equal-interval wavenumber transformation is achieved through data processing rather than physical repositioning, separating the resolution enhancement from time-consuming mechanical adjustments.
Solution Approach 2:
The patent replaces the mechanical system of moving the reference mirror multiple times with a computational system that processes the spectral data. The equal-interval wavenumber transformation is achieved through mathematical algorithms rather than physical repositioning, eliminating the need for precise mechanical control during measurement.
3Measurement precision
If reference mirror position control is made more precise, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical position control systems with computational data processing. Instead of requiring precise physical positioning of the reference mirror, the system uses mathematical transformations to achieve accurate spectral conversion, thereby improving measurement accuracy while reducing mechanical complexity.
Solution Approach 2:
The patent changes the parameter domain from physical position control to spectral data transformation. By working in the wavenumber domain and applying equal-interval transformation algorithms, the system achieves high measurement accuracy without relying on complex position control mechanisms.
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 the acquisition of wavenumber spectra with equal intervals, leading to more accurate and precise tomographic information, improving the quality of medical imaging.
Implementation Method 1
The light from the light source is divided into measurement light and reference light through a split optical path such as a beam splitter
Implementation Method 2
The return light and the reference light are caused to interfere with each other, and are analyzed so as to obtain information on a layer structure of the object to be inspected
Data Source
AI summary
An optical tomographic diagnostic apparatus is characterized by executing a first step (S1) to acquire a wavelength spectrum, a second step (S2) to increase the number of elements of the wavelength spectrum, a third step (S3 and S4) to convert the wavelength spectrum into a wavenumber spectrum and to decrease the number of elements to provide a wavenumber spectrum of equal intervals, and a fourth step (S5) to acquire tomographic information of the object to be inspected from the wavenumber spectrum. As a result, a wavenumber spectrum of equal intervals can be obtained which is faithful to a physical phenomenon, and more accurate tomographic information can be obtained.