Ultrasonic Mitral Valve Regurgitation Quantification via Velocity Field Modeling
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Solution Overview
Problem
Current ultrasonic diagnostic techniques for quantifying mitral valve regurgitation face challenges such as inaccurate measurement of flow rate due to the brief duration of the regurgitant jet, difficulty in defining the valve orifice, reliance on single-dimensional measurements, and inaccuracy caused by Doppler angle variations and image clutter, especially when the leak is not a single pinhole but a slit.
Innovation Solution
An ultrasonic diagnostic imaging system and method that delineates an arcuate or hemispherical region of blood flow proximal to the mitral valve leak, computes a velocity field model, adjusts parameters based on ultrasound physics and system settings, and iteratively refines measurements to accurately quantify flow rate and orifice location, accounting for Doppler angles and image clutter, and applies this process at multiple spatial locations to account for slit-like leaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If colorflow Doppler imaging is used to detect regurgitant jet, then the jet can be visualized, but the brief duration of the jet (300-450ms) makes it difficult to capture at peak flow with typical frame rates of 10-20 frames per second
Solution Approach 1:
The system performs preliminary actions by continuously monitoring the regurgitant jet throughout the cardiac cycle and pre-positioning measurement parameters for optimal capture. The iterative refinement process prepares measurement models in advance based on expected flow patterns, enabling accurate measurement even when the jet is brief and fleeting.
Solution Approach 2:
The system employs feedback mechanisms where measured velocity data is continuously compared with expected velocity profiles, and the measurement model is iteratively refined based on the differences. This feedback loop allows the system to adapt to the brief jet duration and capture accurate flow rate measurements despite the limited temporal window.
2Measurement precision
If the valve orifice is defined in colorflow image, then flow rate can be calculated using PISA technique, but the valve tissue appears as bulky, blurred or indistinct mass making accurate location difficult
Solution Approach 1:
The system uses an intermediary approach by introducing a mathematical measurement model as a mediator between the blurry valve tissue appearance and the required precise orifice location. This model incorporates expected velocity field patterns and flow convergence characteristics to infer the orifice location indirectly, bypassing the need for direct visual identification of the blurred valve structure.
Solution Approach 2:
The system replaces the mechanical/visual approach of directly identifying the orifice boundary in the ultrasound image with a computational approach using velocity field modeling. By substituting the mechanical detection method with a mathematical model based on fluid dynamics principles, the system achieves precise orifice location despite the blurred tissue appearance.
3Ease of operation
If single velocity measurement is made in PISA technique, then measurement process is simple, but any inaccuracy in the single measurement yields inaccurate result due to assumption that rest of blood flow behaves the same
Solution Approach 1:
The system applies segmentation by dividing the measurement process into multiple discrete velocity measurement points distributed throughout the flow convergence region. Instead of relying on a single measurement, the system performs multiple measurements at different locations and uses iterative refinement to combine these segments into an accurate overall flow rate calculation, thereby maintaining simplicity while improving precision.
Solution Approach 2:
The system transitions from a single-point measurement approach to a multi-dimensional measurement framework by performing velocity measurements at multiple spatial locations and incorporating temporal information across the cardiac cycle. This dimensional expansion allows the system to capture the complexity of blood flow patterns while maintaining ease of operation through automated iterative processing.
4Measurement precision
If multiple velocity measurements are made around FCR arc to compensate for single measurement error, then measurement accuracy improves, but Doppler angle variations at each measurement point cause aggregate measurements to understate flow rate
Solution Approach 1:
The system applies parameter changes by dynamically adjusting the measurement model parameters including velocity thresholds, spatial distribution patterns, and angular correction factors based on the specific flow conditions detected in each measurement point. This allows the system to adapt to varying Doppler angles and flow patterns, accurately compensating for angle-related measurement variations while maintaining high precision flow rate quantification.
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 provides precise quantification of mitral valve regurgitation flow rates and orifice locations, improving accuracy by accounting for Doppler angles and image clutter, and effectively measures regurgitant flow due to both single pinhole and slit-like leaks, enhancing the reliability of ultrasonic diagnostic imaging.
Implementation Method 1
the high speed and turbulence of the small jet of blood is detected by careful search for these abnormal local flow velocities near the leaking heart valve
Implementation Method 2
the high speed and turbulence of the small jet of blood is detected by careful search for these abnormal local flow velocities near the leaking heart valve
Data Source
AI summary
An ultrasonic diagnostic imaging system is described which quantifies regurgitant flow through a plurality of pinhole leaks or a slit leak of a mitral valve. A plurality of orifice locations of a leaking valve are identified and Doppler values obtained from a flow velocity field proximal each orifice. The Doppler values of each flow velocity field vectorially relating to the orifice location are processed to produce a measure of flow through the orifice. The flow measurements for a plurality of such orifices are summed to produce a quantified measure of regurgitant flow through a plurality of pinhole leaks or along a slit leak.