Endoscope Spectral Correction for Accurate Oxygen Saturation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing endoscope systems face challenges in accurately calculating oxygen saturation due to individual differences in light source units and endoscopes, which are not adequately addressed by conventional white balance correction processing.

Innovation Solution

The endoscope system employs a combination of semiconductor light sources with specific wavelength ranges, first correction parameters to correct spectral characteristics, and white balance correction data to calculate oxygen saturation accurately, using a processor to adjust for individual differences in light sources and endoscopes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If white balance correction processing is performed to correct differences in signal ratio, then individual differences in light source units are partially corrected, but oxygen saturation calculation accuracy is insufficient because white balance correction only corrects white portions and not other color portions

Engineering Contradiction:
Improveoxygen saturation calculation accuracyVSAvoidcorrection completeness
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent changes the correction parameters from white balance correction values (which only correct white portions) to spectral characteristic correction values specific to each semiconductor light source wavelength range. By storing and applying correction values for each wavelength range (blue, green, red, yellow-green), the system achieves comprehensive correction across all color portions, not just white portions, thereby improving oxygen saturation calculation accuracy.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the correction process by wavelength ranges corresponding to each semiconductor light source (blue, green, red, yellow-green). Instead of applying a single white balance correction to all colors, the system performs separate correction for each wavelength range using stored spectral characteristic correction values. This segmented approach ensures that each color portion is corrected appropriately, resolving the limitation of conventional white balance correction.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If multiple semiconductor light sources with different wavelength ranges are used to obtain spectral images, then oxygen saturation observation capability is improved, but individual differences in spectral characteristics of light source units cause signal ratio variations

Engineering Contradiction:
Improveoxygen saturation observation capabilityVSAvoidsignal ratio consistency
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary correction by storing spectral characteristic correction values for each semiconductor light source before oxygen saturation calculation. During actual measurement, these pre-stored correction values are applied to the spectral images to compensate for individual differences in light source units. This preliminary correction action ensures signal ratio consistency across different light source units while maintaining the multi-wavelength observation capability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback by using the known spectral characteristics of each semiconductor light source to generate correction values that are applied back to the captured images. This feedback mechanism compensates for variations in actual light output from each wavelength range, ensuring that the signal ratios accurately reflect tissue properties rather than light source differences, thereby maintaining measurement precision across multiple light sources.

Inventive Principle:
Principle #23Feedback

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 precise calculation of oxygen saturation by correcting for variations in spectral characteristics and signal ratios, ensuring accurate oxygen saturation measurements despite variations in light source units and endoscopes.

Implementation Method 1

a light source device that includes a plurality of semiconductor light sources emitting illumination light having a plurality of wavelength ranges

Methodology Applied
Scientific EffectLight emission from semiconductor light sources: Light Emitting Diode

Implementation Method 2

an endoscope that obtains a plurality of spectral images from image pickup of an object to be observed illuminated on the basis of the illumination light

Methodology Applied
Scientific EffectLight reflection and detection: Reflection

Implementation Method 3

an image control processor that calculates oxygen saturation of the object to be observed on the basis of the plurality of spectral images, the first correction parameters, and the white balance correction data

Methodology Applied
Scientific EffectSpectral correction:

Implementation Method 4

the oxygen saturation of the object to be observed is calculated on the basis of a plurality of spectral images, which are obtained in a case where an affected area is irradiated with illumination light for oxygen saturation observation of which the light absorption coefficient is changed depending on oxygen saturation

Methodology Applied
Scientific EffectLight absorption spectroscopy: Absorption Spectroscopy

Data Source

PatentUS12514439B2Endoscope system for calculating oxygen saturation based on correction parameters and method of operating the same
Publication Date: 2026.01.06 FUJIFILM CORP
  • US12514439B2 patent drawing
  • US12514439B2 patent drawing
  • US12514439B2 patent drawing

AI summary

An endoscope obtains a plurality of spectral images from the image pickup of an object to be observed illuminated on the basis of illumination light. A special processing section calculates oxygen saturation of the object to be observed on the basis of the plurality of spectral images, first correction parameters that are used to correct differences in the spectral characteristics of the respective semiconductor light sources, and white balance correction data.