Ultrasound Scatterer Characterization via Effective Medium Theory
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Solution Overview
Problem
Current ultrasound methods are inadequate for characterizing dense concentrations of scatterers, such as red blood cell aggregates, as they fail to accurately measure compactness and other physical parameters, leading to suboptimal diagnostic capabilities for circulatory disorders.
Innovation Solution
A method and system utilizing an effective medium theory combined with the structure factor model to characterize ultrasound scatterers, determining dimensional values, concentration, and volume concentration of aggregates by modeling ultrasound data and comparing it to theoretical data, thereby providing more accurate imaging of red blood cell aggregates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ultrasound methods are used to characterize scatterers, then the method is simple and widely applicable, but the measurement precision of aggregate compactness and physical parameters deteriorates in dense concentrations
Solution Approach 1:
The patent applies parameter changes by transforming the ultrasound characterization approach from conventional methods to effective medium theory combined with structure factor model. This involves changing the mathematical parameters and theoretical framework to account for dense scatterer concentrations, enabling accurate measurement of aggregate compactness and physical parameters that were previously inaccessible with conventional ultrasound methods.
Solution Approach 2:
The patent introduces an intermediary theoretical framework (effective medium theory combined with structure factor model) that mediates between the ultrasound signals and the dense scatterer aggregates. This intermediary model acts as a bridge that translates complex scattering patterns in dense concentrations into meaningful physical parameters, resolving the measurement precision issue without requiring direct modification of the ultrasound hardware.
2Reliability
If conventional ultrasound backscatter analysis is used, then the analysis method is straightforward, but the reliability of diagnostic capabilities for circulatory disorders deteriorates
Solution Approach 1:
The patent changes the analytical parameters from conventional power spectra analysis to effective medium theory combined with structure factor model. This parameter transformation enables reliable extraction of aggregate compactness and physical parameters from ultrasound backscatter signals, significantly improving the reliability of diagnostic capabilities for circulatory disorders such as thrombosis and atherosclerosis.
Solution Approach 2:
The patent implements a feedback mechanism by comparing the modeled ultrasound data (using effective medium theory combined with structure factor model) to theoretical data. This iterative comparison and refinement process continuously improves the accuracy of aggregate characterization, thereby enhancing the reliability of diagnostic capabilities through systematic error correction and validation.
3Loss of information
If quantitative information on scatterer physical dimensions is obtained, then the diagnostic value for circulatory diseases is improved, but the difficulty of detecting and measuring aggregate properties increases
Solution Approach 1:
The patent transforms the measurement parameters from conventional ultrasound metrics to effective medium theory combined with structure factor model parameters. This parameter transformation enables the detection and measurement of aggregate compactness and physical dimensions that were previously difficult or impossible to obtain, thereby reducing information loss while managing the measurement complexity through systematic theoretical modeling.
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 improved characterization of red blood cell aggregates, enhancing diagnostic capabilities for circulatory disorders by providing real-time, non-invasive, and quantitative measurements of aggregate size, compactness, and hematocrit, reducing bias and improving the accuracy of inflammation assessment.
Implementation Method 1
a transmitter for transmitting an ultrasound signal to a region of interest
Implementation Method 2
at least one detector for detecting a scattered or a backscattered ultrasound signal
Data Source
AI summary
A method for characterizing ultrasound scatterers in a medium comprises receiving ultrasound data representing a region of interest comprising a plurality of scatterers in a medium, the plurality of scatterers including aggregates of the scatterers. The ultrasound data is modeled data using an effective medium theory combined with the structure factor model, the structure factor model defining the spatial organization and concentration of the aggregates. The modeled ultrasound data is compared to theoretical data obtained with the effective medium theory combined with the structure factor model. From the comparison, dimensional data of the aggregates of the scatterers and the volume concentration of scatterers in the medium is determined.