Optoacoustic Light Output Calibration for Tissue Composition Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optoacoustic imaging systems face challenges in accurately processing and presenting data due to issues like unwanted information, inaccurate scaling, and variability in light sources, which affect the quality of oxygenation and hemoglobin maps.
Innovation Solution
The system employs preprocessing techniques such as bad transducer detection, common mode stripe filtering, band pass filtering, normalization, and energy normalization to refine sinogram data, and uses a combined optoacoustic and ultrasound system with a probe connected via light and electrical paths to generate accurate parametric maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light output calibration is performed using a phantom with known optical properties, then measurement precision of tissue composition is improved, but device complexity increases due to additional calibration procedures and reference materials
Solution Approach 1:
The system performs light output calibration before actual tissue imaging by measuring the light output of each light source using a phantom with known optical properties. This preliminary calibration step establishes reference values that are stored and used during subsequent imaging procedures, ensuring measurement accuracy without requiring complex real-time calibration during imaging
Solution Approach 2:
The system uses a phantom that replicates the optical properties of actual tissue as a surrogate for calibration. By measuring light output against this standardized reference copy of tissue behavior, the system can accurately characterize light source performance without needing to image actual tissue during calibration, simplifying the overall process
2Loss of information
If multiple light sources with different wavelengths are used to improve tissue composition analysis, then information quality about oxygenation and hemoglobin increases, but loss of information increases due to variability in light source output
Solution Approach 1:
The system measures the actual light output of each light source using a photodetector and uses this feedback information to normalize the optoacoustic signals. By continuously monitoring light source performance and adjusting the interpretation of tissue signals accordingly, the system compensates for variations in light output and maintains accurate tissue composition measurements across multiple wavelengths
Solution Approach 2:
The system characterizes each light source by measuring its output at different wavelengths and uses these wavelength-specific calibration factors to correct the imaging data. By changing the parameter being measured (light output at each wavelength) and storing these as reference values, the system can compensate for light source variability when analyzing tissue composition at multiple wavelengths
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 and consistency of oxygenation and hemoglobin maps by removing unwanted data and normalizing energy variations, resulting in improved tissue composition analysis.
Implementation Method 1
a light source (130) that generates light pulses... tissue absorption of light generates optoacoustic signals
Implementation Method 2
A sensor measures a portion of the light transmitted along the light path
Data Source
AI summary
An optoacoustic system includes first and second light sources capable of generating pulse of light at first and second wavelengths, optical output control, first and second light sync detectors, and a combiner. A power meter that is calibrated to determine power at the first and second predominant wavelength measures power at the first wavelength after the first light sync is detected and measures power at the second wavelength after the second light sync is detected. The system includes a calibration mode wherein it reduces optical output of the first light source when the power measured by the power meter at the first wavelength after the first light sync is detected is above a first level, and reduces optical output of the second light source when the power measured by the power meter at the second wavelength after the second light sync is detected is above a second level.