Color Blood Flow Frame Averaging Aliasing Correction
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Solution Overview
Problem
Existing color blood flow frame averaging techniques fail to account for velocity aliasing between consecutive frames, leading to 'shadow' phenomena and unnatural blood flow velocity diagrams due to direct output of current frame velocities when directions are opposite, resulting in inaccurate representations of blood flow velocities.
Innovation Solution
A method and device for color blood flow frame averaging that determines and corrects for aliasing by moving and frame-averaging the output blood flow velocity of the previous frame, using energy and velocity difference thresholds to assess aliasing and adjust the output accordingly, ensuring a more natural and accurate representation of blood flow velocities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If direct output of current frame velocity is used when directions are opposite, then the response speed is improved, but shadow artifacts appear and measurement precision deteriorates
Solution Approach 1:
The patent applies preliminary action by detecting velocity aliasing in the previous frame before outputting the current frame velocity. The system performs aliasing detection and correction on Vout(n-1) before combining it with Vin(n), preventing shadow artifacts from forming in the final output. This preliminary correction ensures both rapid response and high measurement precision.
2Reliability
If frame averaging is applied to maintain color sensitivity, then the signal-to-noise ratio is improved, but shadow artifacts are generated due to velocity aliasing
Solution Approach 1:
The patent extracts and removes the harmful velocity aliasing component from the previous frame output Vout(n-1) before performing frame averaging. By detecting aliasing conditions and correcting Vout(n-1) separately, the system eliminates the source of shadow artifacts while preserving the beneficial frame averaging effect for improving color sensitivity and signal-to-noise ratio.
3Device complexity
If velocity aliasing is not considered in frame averaging, then the processing complexity is reduced, but the accuracy of blood flow velocity representation deteriorates
Solution Approach 1:
The patent applies preliminary action by detecting velocity aliasing in the previous frame output before the final frame averaging operation. The system checks aliasing conditions on Vout(n-1) and performs corrective processing in advance, ensuring accurate velocity representation without significantly increasing overall processing complexity.
Data Source
AI summary
The present invention provides a method and device for color blood flow frame averaging. In the present invention, whether aliasing occurs to an output blood flow velocity of a previous frame is first determined. If aliasing does occur to the output blood flow velocity of the previous frame, the output blood flow velocity of the previous frame will be moved, and the moved output blood flow velocity of the previous frame is then subjected to the frame averaging. The present invention can improve and eliminate the “shadow” in the output blood flow velocity of the current frame due to velocity aliasing of the previous frame existing in the prior color frame averaging processing, such that the blood flow velocity appears more natural and has a more reasonable distribution.