Optoacoustic Probe Multi-Layer Coating Signal Processing
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Solution Overview
Problem
Current optoacoustic imaging systems face challenges in accurately processing and presenting optoacoustic data due to issues like unwanted information, inaccurate data, and variations in signal quality, which affect the quality of images produced.
Innovation Solution
The system employs preprocessing techniques such as bad transducer detection, common mode stripe filtering, band pass filtering, normalization, and selective channel sensitivity to improve the accuracy and quality of optoacoustic data, along with image reconstruction methods like weighted delay-and-sum reconstruction and complex analytic signal processing to generate high-quality images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preprocessing techniques and filtering methods are applied to remove unwanted data and artifacts, then image quality and data accuracy are improved, but device complexity and processing time increase
Solution Approach 1:
The patent applies preprocessing techniques including bad transducer detection, common mode stripe filtering, and band pass filtering before image reconstruction. These preliminary actions remove unwanted information and artifacts from the raw optoacoustic data, improving measurement precision by eliminating sources of error before they can affect the final images.
Solution Approach 2:
The processing pipeline is segmented into distinct stages: bad transducer detection, common mode stripe filtering, band pass filtering, normalization, and selective channel sensitivity adjustment. Each segment addresses specific types of data quality issues independently, allowing systematic improvement of data accuracy through multiple specialized processing steps.
2Stability of the object's composition
If multiple filtering and preprocessing steps are implemented, then signal consistency and image quality improve, but processing time and computational resources increase
Solution Approach 1:
Normalization and selective channel sensitivity adjustments are performed as preliminary actions before image reconstruction. These steps establish consistent signal levels across different transducers and channels, ensuring signal consistency is achieved before the computationally intensive reconstruction phase begins.
Solution Approach 2:
The patent adjusts processing parameters selectively for different transducer channels based on their individual sensitivity characteristics. By changing parameters adaptively rather than applying uniform processing to all channels, the system maintains signal consistency while optimizing processing efficiency for each channel's specific characteristics.
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
The proposed solution enhances the quality of optoacoustic images by removing unwanted data and artifacts, improving signal consistency, and providing more accurate representations of tissue composition, oxygenation, and hemoglobin levels.
Implementation Method 1
an optoacoustic probe (102) having a plurality of transducer elements (104) arranged in a matrix configuration and in optical communication with a light source (130, 131)
Data Source
AI summary
Disclosed is an optoacoustic probe with a coated transducer assembly. The probe includes a transducer assembly with a multi-layer coating on the active end thereof. The multi-layer coating includes a layer of parylene and at least two layers of metal. In an embodiment, the multi-layer coating includes a layer of nickel, at least one layer of parylene, and a layer of gold.