Optical Examination Device Using Non-Parallel Light Rays
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Solution Overview
Problem
Current optical examination methods face challenges in accurately detecting internal information of test objects, such as living bodies, due to difficulties in selecting the appropriate optical model and errors caused by contact failures and hair interference, which affect the precision of light quantity distribution and cerebral blood flow measurement.
Innovation Solution
The method employs an optical sensor with a light source module that emits multiple non-parallel light rays to an identical point on the test object and a detection system that separates and detects these rays, allowing for the selection of an optimal optical model based on simulated and actual light quantity distributions, and uses a Monte Carlo simulation to correct for errors and improve resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single light ray is used for optical examination, then the device structure is simple, but the measurement precision is insufficient due to inability to correct contact failures and hair interference
Solution Approach 1:
The patent divides a single light irradiation into multiple non-parallel light rays (first, second, third light rays) that all pass through the same point on the object. This segmentation allows the system to capture multiple light quantity values from different angles, enabling correction of errors caused by contact failures and hair interference, thereby improving measurement precision without requiring multiple separate light sources positioned at different locations.
Solution Approach 2:
The patent introduces angular diversity by emitting multiple light rays in different directions (non-parallel rays) that converge at the same point on the object. This adds a dimensional aspect (angular variation) to the optical examination, allowing the detection system to gather information from multiple paths and select or combine the most reliable measurements, thus improving precision while maintaining a relatively simple device structure.
2Adaptability or versatility
If multiple optical models are used for simulation, then the adaptability to different test objects is improved, but the difficulty of selecting the appropriate model increases
Solution Approach 1:
The patent implements an automated model selection mechanism that uses the actually measured light quantity distribution as feedback to evaluate and select the most appropriate optical model from multiple candidate models. The system compares simulated light quantity distributions (obtained through Monte Carlo simulation for each optical model) with the actual measurement, and automatically selects the model that best matches the observed data, thereby maintaining high adaptability while eliminating manual model selection difficulty.
Solution Approach 2:
The system performs self-service by automatically selecting the appropriate optical model based on the measured data without requiring user intervention. The model selection process is embedded in the examination workflow, where the system autonomously evaluates multiple optical models against the actual light quantity distribution and chooses the most suitable one, thus maintaining versatility while reducing operational complexity.
3Reliability
If contact failures and hair interference are not corrected, then the measurement process is simple, but the reliability of cerebral blood flow measurement is reduced
Solution Approach 1:
The patent performs preliminary error correction by obtaining multiple light quantity values from multiple non-parallel light rays before final analysis. The system proactively identifies and corrects errors caused by contact failures and hair interference by selecting the most reliable light quantity value from the multiple measurements, or by using statistical methods to eliminate outliers. This preliminary correction ensures high reliability in cerebral blood flow measurement without requiring complex additional hardware or post-processing procedures.
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 enhances the accuracy of internal information detection by reducing errors from contact failures and hair interference, improving the precision of light quantity distribution and cerebral blood flow measurement, and allows for high-precision inverse problem estimation.
Implementation Method 1
a detection system including at least one photodetector to detect an amount of light that is emitted from the irradiation system to an object to be measured and propagated inside the object to be measured
Data Source
AI summary
A method of performing an optical examination on a test object and an optical examination device. The method includes obtaining a first detection light quantity distribution that is a detection light quantity distribution obtained for each of a plurality of optical models that simulate the test object, obtaining, using the optical sensor, a second detection light quantity distribution that is a distribution of an amount of light detected on the test object, and selecting based on the first light quantity distribution and the second detection light quantity distribution, an optical model suited to the test object from the plurality of optical models. The optical examination device includes an optical sensor, and a control system to control the irradiation system to obtain an amount of light detected by the detection system.