Endoscope Oxygen Saturation Correction via Pre-Imaging
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Solution Overview
Problem
Existing endoscope systems face challenges in accurately calibrating look-up tables for oxygen saturation calculations due to variations in exposure amounts, movement, observation distances, and reflection issues during pre-imaging, leading to inaccuracies in oxygen saturation determination.
Innovation Solution
An endoscope system with a biometric feature amount calculation unit, image acquisition unit, image correction unit, and storage unit that acquires and corrects images using multiple illumination light beams to verify pre-imaging conditions, allowing for accurate oxygen saturation calculations by associating correction images with calculated biometric features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-imaging is performed to calibrate the look-up table for oxygen saturation calculation, then the oxygen saturation can be calculated using a correlation specific to the observation target, but the imaging conditions (exposure amount, movement, observation distance, reflection) may vary and lead to inaccurate calibration
Solution Approach 1:
The system performs pre-imaging to acquire a correction image before calculating oxygen saturation. This preliminary action allows the system to capture the actual imaging conditions (exposure amount, observation distance, etc.) and use them to correct the look-up table calibration, ensuring accurate oxygen saturation calculation while accounting for variations in pre-imaging conditions
Solution Approach 2:
The system uses the correction image obtained from pre-imaging to calculate a correction amount that is then applied to the look-up table. This feedback mechanism allows the system to adjust the oxygen saturation calculation based on actual imaging conditions, improving both measurement precision and reliability by continuously adapting to varying pre-imaging conditions
2Measurement precision
If the look-up table is calibrated using pre-imaging, then the correlation between calculation value and oxygen saturation can be optimized for the specific observation target, but it becomes difficult to verify whether the pre-imaging was performed under appropriate conditions
Solution Approach 1:
The system introduces a correction image as an intermediary that records the actual pre-imaging conditions. This correction image serves as evidence that can be stored and reviewed to verify whether appropriate pre-imaging was performed, while still enabling accurate oxygen saturation calculation through the derived correction amount
Solution Approach 2:
The system creates a copy of the pre-imaging result in the form of a correction image that can be stored separately. This copy allows verification of pre-imaging conditions without affecting the oxygen saturation calculation process, enabling independent validation of the calibration accuracy
3Measurement precision
If multiple illumination light beams with different wavelength ranges are used to calculate biometric feature amounts, then more accurate functional information (oxygen saturation) can be obtained, but the system complexity increases
Solution Approach 1:
The endoscope system is designed to perform multiple functions using the same hardware: it can capture images under different illumination wavelengths, store correction images, calculate correction amounts, and derive oxygen saturation. This multi-functionality reduces the need for separate dedicated devices for each measurement task, managing complexity while maintaining high measurement precision
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
Enables verification of appropriate pre-imaging conditions and improves the accuracy of oxygen saturation calculations by correcting for imaging errors, ensuring reliable oxygen saturation images for diagnosis.
Implementation Method 1
the observation target is imaged with illumination light in a wavelength range having different light absorption coefficients for oxygenated hemoglobin and reduced hemoglobin
Data Source
AI summary
An endoscope system has an oxygen saturation calculation unit that calculates the oxygen saturation of an observation target using an LUT. The endoscope system includes: an image acquisition unit that acquires a correction image obtained by imaging the observation target before calculating the oxygen saturation; an image correction amount calculation unit that calculates an image correction amount for an oxygen saturation calculation image using the correction image; an image correction unit that corrects the oxygen saturation calculation image according to the image correction amount; and a storage unit that stores the correction image and an oxygen saturation image, which shows the oxygen saturation calculated by the oxygen saturation calculation unit using the oxygen saturation calculation image after correction, so as to be associated with each other.