Automated Doppler Pulse Cycle Selection for Ultrasound
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Solution Overview
Problem
Current duplex ultrasound systems require skilled personnel for accurate Doppler velocimetry measurements, which is not feasible in emerging markets due to a shortage of specialists, and manual selection of pulse cycles is time-consuming and prone to variability among observers.
Innovation Solution
An automated device and computer-readable medium that selects representative pulse cycles based on spectral characteristics, excluding cycles with significant deviations from the average, using a cycle quality metric that computes clinical parameters and displays the selected cycles, allowing for non-radiologists to perform Doppler velocimetry without interpreting ultrasound images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of pulse cycles is used, then measurement accuracy can be maintained through skilled observation, but the process becomes time-consuming and requires specialized training
Solution Approach 1:
The system performs self-service by automatically selecting representative pulse cycles through algorithmic analysis of spectral characteristics. The automated cycle selection process evaluates multiple cycles and identifies the most representative ones without requiring manual intervention, thereby eliminating the time-consuming manual selection process while maintaining measurement accuracy through objective computational criteria.
Solution Approach 2:
The patent replaces the manual mechanical process of visual cycle selection with an automated computational system. The mechanical action of a sonologist visually examining and selecting cycles is substituted by an electronic system that automatically analyzes spectral characteristics, computes quality metrics, and selects representative cycles algorithmically, thereby reducing time loss while preserving measurement precision.
2Reliability
If manual cycle selection by skilled personnel is used, then reliable Doppler measurements can be obtained, but the requirement for specialized skill limits availability in emerging markets
Solution Approach 1:
The system enables non-specialized personnel to perform reliable Doppler velocimetry by automating the cycle selection process. The automated algorithm independently evaluates spectral characteristics and selects representative cycles without requiring user expertise in visual interpretation, thereby making the measurement process accessible to general practitioners while maintaining reliability through objective computational criteria.
Solution Approach 2:
The patent replaces the need for specialized human skill with an automated computational system. The expert knowledge previously embedded in the minds of skilled sonologists is transferred to an electronic algorithm that automatically analyzes Doppler signals, computes quality metrics, and selects representative cycles, thereby democratizing access to reliable measurements without requiring specialized training.
3Ease of operation
If automated cycle selection is implemented, then the system becomes easier to use and more accessible, but may compromise measurement accuracy without skilled oversight
Solution Approach 1:
The patent replaces manual visual inspection with an automated computational system that objectively analyzes spectral characteristics. The electronic algorithm computes quality metrics based on defined criteria and selects representative cycles algorithmically, providing ease of use for non-specialized personnel while maintaining measurement precision through systematic, reproducible computational methods that eliminate human variability.
Solution Approach 2:
The system maintains measurement accuracy by carefully controlling and optimizing parameters in the automated selection process. The algorithm evaluates multiple spectral characteristics and quality metrics, adjusting selection criteria to ensure that the automatically selected cycles accurately represent the hemodynamic profile, thereby preserving measurement precision while enabling ease of operation.
4Reliability
If multiple pulse cycles are analyzed to ensure representativeness, then measurement reliability improves, but the processing time and complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the cycle selection process into distinct analytical stages. The system first evaluates individual cycles based on spectral characteristics, then computes quality metrics for each, and finally selects the most representative cycles. This segmented approach allows thorough analysis of multiple cycles to ensure representativeness while managing algorithmic complexity through structured, modular processing steps.
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 solution enables accurate and efficient Doppler velocimetry measurements by automatically selecting high-quality pulse cycles, reducing the need for skilled operators and providing a low-cost, user-friendly system for monitoring high-risk pregnancies and other vascular applications.
Implementation Method 1
a Doppler frequency shift or the velocity information is obtainable from a blood vessel
Data Source
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AI summary
A device (308) is configured for examining pulsatile flow, for deriving, based on the examined flow, spectral characteristics and for, based on the derived characteristics, determining which one or more pulse cycles are to be selected as representative of the flow. The cycles selected can be consecutive and amount to a predetermined number of cycles, such as five. The cycles (200) subject to selection may initially be filtered out based on waveform anomalies, with the surviving cycles in a consecutive group of sufficient number being judged based on parameters such as waveform caliper measurements and other types of the characteristics. Good cycles are detected (202) by their lack of variation, with respect to the measured parameters, from each respective, parameter median over the spectrogram cycles not initially filtered. The technique may, according to user selection, take into account additional parameters suited to particular medical application. Uses include correctly identifying an artery by name.