Endoscopic Spectral Imaging for Tissue Invasion Depth Estimation
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Solution Overview
Problem
Existing endoscopic systems face challenges in accurately determining the depth of tissue invasion during medical procedures, particularly in distinguishing between cancerous and non-cancerous tissues, which affects the precision and speed of diagnosis.
Innovation Solution
An image processing apparatus that estimates the depth of tissue invasion by analyzing pixel values of spectroscopic images captured using specific wavelength bands, employing techniques such as linear expression approximation and interpolation to calculate the depth of invasion based on spectral reflectance differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If endoscopic observation is used to determine depth of invasion, then diagnostic information can be obtained, but the accuracy and precision of determining tissue invasion depth is insufficient
Solution Approach 1:
The patent applies parameter changes by utilizing spectral reflectance characteristics at different wavelengths to determine tissue invasion depth. The image processing apparatus analyzes pixel values across multiple wavelength bands to extract depth information, transforming the diagnostic approach from visual observation to quantitative spectral analysis. This enables precise measurement of invasion depth by measuring changes in optical parameters (spectral reflectance) rather than relying on subjective visual assessment.
2Productivity
If traditional endoscopic observation methods are used, then diagnostic procedures can be performed, but the speed of diagnosis is reduced due to manual assessment requirements
Solution Approach 1:
The patent implements self-service by enabling the image processing apparatus to automatically determine tissue invasion depth without requiring manual measurement or expert interpretation. The system acquires spectral images, processes pixel values, and automatically generates depth information through algorithmic analysis. This automated self-assessment eliminates time-consuming manual procedures while maintaining diagnostic accuracy, thereby increasing productivity and reducing time loss.
3Measurement precision
If spectral reflectance analysis is applied to determine tissue depth, then measurement precision improves, but device complexity increases due to multiple wavelength requirements
Solution Approach 1:
The patent applies universality by designing an image processing apparatus that can handle multiple wavelength bands and perform various image processing functions through a single integrated system. The apparatus processes spectral images containing information from different wavelength ranges and extracts multiple types of diagnostic information (including invasion depth, tissue type, and vascular patterns) from the same spectral data. This multi-functional approach reduces overall system complexity compared to having separate specialized devices for each diagnostic parameter.
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
Enhances the accuracy and speed of determining tissue invasion depth, assisting endoscopists in making precise diagnoses by providing color-coded depth maps that highlight invasion areas, thereby improving diagnostic efficiency.
Implementation Method 1
a first observation image obtained by capturing an image of return light of first observation light applied to a subject
Data Source
AI summary
An image processing apparatus includes: a processor including hardware, the processor being configured to acquire a first observation image obtained by capturing an image of return light of first observation light applied to a subject; and estimate a depth of invasion based on a pixel value of each pixel of the first observation image.