Spectral Doppler Ultrasound Parameter Optimization
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Solution Overview
Problem
Manual adjustment of spectral Doppler ultrasound imaging parameters is tedious and often results in suboptimal images due to subjective selection, and existing automatic methods require extra processing time or predefined sampling.
Innovation Solution
The use of numerical optimization to automatically set spectral Doppler parameters such as gate position, transmit frequency, and filter settings by firing multiple sequences of pulses and calculating goal values to achieve optimal imaging goals, reducing the need for user input and predefined sampling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of spectral Doppler parameters is used, then the imaging process allows user control and flexibility, but the process becomes tedious and results in suboptimal images due to subjective selection
Solution Approach 1:
The system performs automatic optimization of spectral Doppler parameters without requiring manual user adjustment. The processor automatically determines optimal gate position, gate size, transmit frequency, and other parameters by analyzing the Doppler spectrum and applying optimization algorithms, allowing the system to serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The system automatically adjusts multiple spectral Doppler parameters including gate position, gate size, transmit frequency, filter settings, and Doppler gain based on real-time analysis of the Doppler spectrum. These parameter changes are made dynamically to optimize image quality without manual intervention.
2Extent of automation
If automatic gate placement using predefined sampling locations is used, then the process is automated, but extra processing time is required
Solution Approach 1:
Instead of sampling at all possible predefined locations, the system performs partial sampling at selected locations and uses optimization algorithms to determine the optimal gate position. This approach achieves sufficient automation while reducing the total number of samples required, thereby minimizing processing time.
Solution Approach 2:
The system performs preliminary analysis of the Doppler spectrum to identify regions of interest before final gate placement. By pre-processing the spectral data to identify potential optimal locations, the system reduces the computational burden of the final optimization step and overall processing time.
3Measurement precision
If exhaustive sampling at multiple predefined locations is performed, then complete coverage is achieved, but processing complexity and time increase
Solution Approach 1:
The optimization process is divided into multiple stages: initial spectrum analysis, identification of regions of interest, preliminary parameter estimation, and final optimization. This segmentation allows the system to achieve high measurement precision without requiring exhaustive sampling at all possible locations, thereby reducing processing complexity.
Solution Approach 2:
The system uses feedback from the Doppler spectrum analysis to guide the optimization process. By continuously monitoring the spectral content and adjusting parameters based on the observed signal characteristics, the system achieves accurate parameter optimization with reduced sampling requirements compared to exhaustive methods.
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 leads to more objective and efficient optimization of spectral Doppler ultrasound imaging, maximizing spectral intensity and accurately positioning the gate for maximum flow or valve regurgitation, while minimizing processing time and user intervention.
Implementation Method 1
Multiple sequences of spectral Doppler pulses are fired into a patient
Implementation Method 2
Spectral Doppler ultrasound imaging provides a two-dimensional image of velocities (vertical scale) values modulated by energy as a function of time (horizontal scale)
Implementation Method 3
By transmitting a plurality of pulses at a single gate location, a spectral Doppler response is generated in response to received echo signals
Data Source
AI summary
Methods and systems for automatic optimization in spectral Doppler ultrasound imaging are provided. The value for one or more spectral Doppler parameter is optimized using numerical optimization rather than predefined sampling. Various spectral Doppler parameters are set, such as a position of the gate, gate size, transmit frequency, filter settings, Doppler gain, beamline orientation or angle of intersection between the gate position and the scan line, aperture size, or other spectral Doppler transmit or receive parameters effecting the spectral Doppler imaging. A processor automatically calculates a setting or value for one or more of the spectral Doppler parameters, resulting in more objective optimization than provided by a user setting.