Doppler Imaging Parameter Optimization Using Characteristic Spectral Lines
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Solution Overview
Problem
Conventional methods for optimizing Doppler imaging parameters, such as pulse repetition frequency and baseline, in ultrasound diagnostics are time-consuming and resource-intensive, requiring significant computational power and storage, which is not suitable for equipment with limited resources and can be compromised by noise interference or uncertainty in multi-aliasing detection.
Innovation Solution
A method and apparatus for automatic optimization of Doppler imaging parameters that involves obtaining and processing two characteristic spectral lines in real-time, without storing them, using a predetermined mean noise power to adjust the pulse repetition frequency and baseline, thereby reducing computational complexity and improving stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to optimize Doppler imaging parameters, then measurement precision is improved, but device complexity and resource consumption increase
Solution Approach 1:
The patent extracts only the essential characteristic spectral lines needed for parameter optimization, discarding redundant spectral data. This selective extraction reduces computational complexity while maintaining optimization accuracy by focusing only on the most informative spectral features.
Solution Approach 2:
The patent segments the Doppler spectrum into discrete characteristic spectral lines rather than processing the entire continuous spectrum. This segmentation approach simplifies the optimization problem by breaking it down into manageable discrete components that can be processed independently.
2Measurement precision
If conventional methods are used to optimize Doppler parameters, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary identification and selection of characteristic spectral lines before the full optimization process. By pre-processing and selecting only the relevant spectral features in advance, the subsequent parameter optimization can proceed more quickly without sacrificing accuracy.
3Measurement precision
If more spectral lines are stored and processed, then measurement precision is improved, but quantity of substance increases
Solution Approach 1:
The patent extracts only the necessary characteristic spectral lines from the full Doppler spectrum, storing and processing only these essential features rather than the complete spectral dataset. This selective extraction maintains measurement precision while dramatically reducing data storage and processing requirements.
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 allows for efficient and stable optimization of Doppler imaging parameters, reducing resource requirements and minimizing noise interference, while effectively addressing multi-aliasing and ensuring accurate parameter adjustment for improved ultrasound imaging.
Implementation Method 1
Doppler spectral lines generated at a predetermined pulse repetition frequency
Data Source
AI summary
A method and apparatus are disclosed for automatic optimization of Doppler imaging parameters. The method includes obtaining and storing at least two characteristic spectral lines at a predetermined pulse repetition frequency. The method further includes optimizing at least one of the Doppler imaging parameters based on the stored at least two characteristic spectral lines and a predetermined mean noise power. In one embodiment, the characteristic spectral lines are obtained by collecting in real time the Doppler spectral lines generated at the predetermined pulse repetition frequency within a predetermined time period, and processing the collected Doppler spectral lines in real time without storing them.