Speckle Tracking for Myocardial Wall Thickening Quantification
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Solution Overview
Problem
Current methods for quantifying myocardial wall thickening in echocardiographic images are subjective and unreliable, particularly for diagnosing conditions like left bundle branch block, as they rely on gradient detection and tissue Doppler imaging, which are prone to errors due to orientation limitations and noise.
Innovation Solution
A region of interest in cardiac ultrasound images is defined with points on the endocardium and epicardium, tracked over the cardiac cycle using speckle/texture tracking, allowing for direct measurement of wall thickening and Lagrangian strain, independent of gradient detection methods and angular deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gradient detection methods are used to extract epicardial borders, then border delineation can be performed, but the method is unreliable and produces errors
Solution Approach 1:
The patent replaces gradient detection methods (mechanical/image processing approach) with speckle tracking technology (acoustic/physical approach). Instead of relying on image intensity gradients to detect borders, the system tracks the movement of speckle patterns (natural acoustic scattering patterns) across the myocardium, providing more reliable border delineation that is not sensitive to gradient variations.
Solution Approach 2:
The patent changes the measurement parameter from image gradient magnitude to speckle pattern displacement. By tracking the temporal evolution of speckle patterns rather than relying on static gradient information, the system achieves more accurate and reliable border detection that accounts for tissue motion and deformation throughout the cardiac cycle.
2Measurement precision
If tissue Doppler imaging is used to measure wall thickening, then velocity measurements can be obtained, but the method is subject to orientation limitations and requires integration introducing noise
Solution Approach 1:
The patent replaces tissue Doppler imaging (which measures velocity along the beam direction) with speckle tracking (which measures displacement in the imaging plane). This substitution eliminates the orientation limitation where no motion is detected when myocardium moves perpendicular to the acoustic beam, and avoids the need for temporal integration that introduces noise and errors.
Solution Approach 2:
The patent introduces speckle patterns as an intermediary tracer within the myocardial tissue. These natural acoustic scattering patterns serve as markers that passively reflect tissue motion, allowing direct measurement of wall thickening without requiring velocity integration or being constrained by beam orientation relative to motion direction.
3Ease of operation
If subjective measurements by experts are used to assess wall thickening, then clinical diagnosis can be performed, but the method lacks objectivity and quantification
Solution Approach 1:
The patent enables the imaging system to automatically perform wall thickening measurements without requiring expert subjective assessment. The speckle tracking algorithm automatically delineates borders, tracks motion, and calculates thickening parameters, providing objective quantification that maintains ease of use while eliminating inter-observer variability and subjectivity.
Solution Approach 2:
The patent replaces the human expert's visual assessment (subjective mechanical process) with automated speckle tracking analysis (computational process). This substitution provides objective, reproducible, and quantifiable measurements of wall thickening while maintaining the simplicity of the diagnostic workflow for clinicians.
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 accurate, direct measurements of wall thickening and strain, enhancing diagnostic precision and reducing noise sensitivity, enabling effective identification of conditions affecting cardiac synchronicity and efficiency.
Implementation Method 1
tracked over the cardiac cycle using speckle/texture tracking
Implementation Method 2
The distance between corresponding endo- and epicardial tracked points is calculated for each frame, yielding direct measures for length
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
An ultrasonic imaging system and method are described for quantification and display of myocardial wall thickening. The endocardial and epicardial borders in an image sequence are defined over a heart cycle and changes in the distance between the borders are tracked at specified locations around the myocardium over the heart cycle, The changes in distance are presented to the user in a graphical format, preferably together with another measure of the cardiac cycle such as chamber volume variation, ejection fraction, or the ECG waveform. The changes in the distance of chord lengths across the myocardium provide a direct indication of wall thickness variation at the specified locations. Preferably the tracking of the specified locations over the heart cycle is done by speckle tracking. The inventive technique can also represent strain at the specified locations of the myocardium.