Local Deformable Motion Analysis for Echocardiography
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Solution Overview
Problem
Current methods for tracking object motion in imaging applications, such as echocardiography, face challenges in distinguishing between local and global motion, leading to potential misdiagnosis due to uncompensated external movements like breathing or probe movement, which affects the accuracy of heart function analysis.
Innovation Solution
A system and method for local deformable motion analysis that identifies and compensates for global motion by using optical flow techniques, information fusion, and covariance matrices to isolate and track local motion, enabling accurate tracking of myocardial wall motion and other object movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional object tracking methods are used to track motion in imaging, then the tracking process is simple, but the accuracy of distinguishing local motion from global motion deteriorates, leading to potential misdiagnosis
Solution Approach 1:
The patent segments the image into multiple local regions and independently tracks motion in each region. By dividing the global image space into discrete local patches, the system can distinguish local object motion from global background motion through comparative analysis of regional motion vectors, thereby improving motion tracking accuracy without requiring overly complex global models
Solution Approach 2:
The patent introduces an intermediary global motion model that represents the overall background motion. This intermediary model is derived from the aggregate of local region motions and is then used to compensate individual local tracking results. The intermediary acts as a mediator that separates true local object motion from global background motion, enhancing measurement precision
2Reliability
If principal axis method is used for global motion compensation, then the compensation process is straightforward, but the ability to identify ischemic regions deteriorates because the principal axis is affected by abnormal region movement
Solution Approach 1:
The patent divides the cardiac image into multiple local regions and performs independent motion tracking in each region. This segmentation allows the system to identify regional wall motion abnormalities (such as hypokinesia, akinesia, or dyskinesia) without being influenced by global motion, thereby improving diagnosis reliability for ischemic region detection
Solution Approach 2:
The patent applies different motion analysis treatments to different local regions of the heart. By allowing each region to have its own motion characteristics and compensation parameters, the system can accurately detect local abnormalities while compensating for global motion, achieving both high reliability and appropriate complexity
3Measurement precision
If assumption of normal heart shape is made during systole, then the analysis is simplified, but the accuracy of detecting local rotation or torsion deteriorates because the shape of normal heart can be very different during systole
Solution Approach 1:
The patent employs dynamic motion models that adapt to the actual motion characteristics of each cardiac region during systole and diastole. Instead of assuming a fixed normal heart shape, the system dynamically tracks and compensates for local rotations, torsions, and deformations in each region, thereby maintaining high measurement precision for local motion while managing complexity through efficient computational methods
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 accuracy of medical diagnoses by effectively separating and compensating for global motion, reducing the risk of misdiagnosis and improving the precision of tracking object motion in dynamic imaging environments.
Implementation Method 1
Motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion
Implementation Method 2
Motion from multiple background image regions is combined to measure the global motion in that image frame
Data Source
AI summary
A system and method for local deformable motion analysis accurately tracks the motion of an object such that local motion of an object is isolated from global motion of an object. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked.