Spatially Distinct Spectral Doppler Gates for Ultrasound Flow Analysis
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Solution Overview
Problem
Spectral Doppler ultrasound imaging primarily provides frequency information and lacks spatial information, making it difficult to accurately represent and distinguish between different types of fluid flow, such as venous and arterial flow, which can be insufficiently characterized by mean velocity alone.
Innovation Solution
The method involves estimating spectra for multiple spatial locations simultaneously using parallel beamforming and discrete Fourier transforms, generating a 2D or 3D image based on these spectra, which includes characteristics like maximum velocity, to provide spatially distinct and temporal information, allowing for better representation of fluid flow patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Spectral Doppler imaging provides frequency information for a single location, then frequency measurement precision is improved, but spatial information is lost and cannot represent spatial flow distribution
Solution Approach 1:
The imaging space is segmented into multiple discrete gate locations along the scan line. Each gate independently processes Doppler signals to generate its own frequency spectrum, allowing simultaneous frequency analysis at multiple spatial positions without compromising measurement precision at any individual location.
Solution Approach 2:
The system transitions from single-location spectral display to a two-dimensional representation where the vertical axis represents frequency (as in traditional spectral Doppler) and the horizontal axis represents spatial position along the scan line. This dimensional expansion preserves frequency precision while recovering spatial information distribution.
2Area of stationary object
If mean velocity is used to represent flow at multiple locations, then spatial coverage is improved, but flow type differentiation capability deteriorates because mean velocity cannot distinguish between venous and arterial flow
Solution Approach 1:
Instead of using a single mean velocity value for the entire region, the system calculates and displays complete frequency spectra at each individual gate location. This allows local flow characteristics (such as velocity distribution shape, peak frequency, and spectral width) to be preserved and used for differentiating flow types at each spatial position.
Solution Approach 2:
The display transforms from one-dimensional mean velocity mapping to a two-dimensional spectral map where each spatial location contains full frequency distribution information. This enables differentiation of flow types by analyzing spectral shape characteristics at each location rather than relying solely on mean velocity magnitude.
3Loss of information
If multiple spectra at different spatial locations are acquired simultaneously, then spatial flow distribution information is improved, but processing complexity and computational requirements increase
Solution Approach 1:
The processing workload is segmented into independent parallel channels, with each gate location processing its own Doppler signal separately. This modular approach allows simultaneous acquisition of multiple spectra without requiring complex inter-dependent processing, as each gate's spectrum can be calculated independently from its local time-series data.
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 enhances the ability to differentiate between various types of fluid flow by providing spatial distribution, velocity variation, and intensity information, offering more detailed motion analysis than traditional methods, including distinguishing between venous and arterial flow.
Implementation Method 1
A transmit beamformer is operable to transmit a transmit beam
Implementation Method 2
Spectral Doppler ultrasound imaging provides an image of velocities (vertical axis) values modulated by energy as a function of time (horizontal axis)
Implementation Method 3
A spectrum is estimated for each of the spatially distinct locations from the temporal ultrasound samples
Data Source
AI summary
Spatially distinct Spectral Doppler information is displayed. A spectrum is determined for each of a plurality of spatial locations, such as associated with different receive beams. Given a plurality of spectra at different spatial locations, an image may be generated as a function of the spectra. For example, a two-dimensional image has display values for different pixels or locations derived from one or more characteristics of the spectra, such as the maximum velocity with energy above a threshold for each location. As another example, the spectrum from the set of spectra with the highest maximum velocity is selected for generating a spectral strip display.