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Noise estimating method, key optimizing method and system thereof

A noise estimation and noise technology, applied in the field of aliasing judgment and parameter optimization, can solve the problems of increased noise estimation, easy misjudgment, parameter optimization failure, etc., to reduce noise estimation error, ensure effectiveness, and improve accuracy Effect

Active Publication Date: 2010-07-07
SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD
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Problems solved by technology

However, if the noise estimation error is large, it is easy to misjudgment, especially in the case of multiple aliasing and low signal-to-noise ratio, the noise estimation is prone to envelope curve calculation errors, and strong signals are introduced into the noise estimation , so that the noise estimation is likely to be increased by the influence of aliasing, which will directly lead to the wrong judgment of the aliasing phenomenon, so that the parameter optimization will fail and affect the performance of the Doppler one-key optimization

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  • Noise estimating method, key optimizing method and system thereof
  • Noise estimating method, key optimizing method and system thereof

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[0032]In view of the existing multiple aliasing and parameter optimization methods, in the case of multiple aliasing or low signal-to-noise ratio, misjudgment and large noise estimation errors are prone to occur. Therefore, the present invention provides a A one-key optimization method for Doppler imaging systems, such as Figure 5 shown, which includes:

[0033] The first step is to obtain the data to be analyzed in the current spectrogram, where the data to be analyzed is a piece of spectral data whose length is greater than or equal to one cardiac cycle;

[0034] In the second step, noise estimation is performed on the data to be analyzed, such as Figure 6 As shown, the noise estimation process includes:

[0035] Estimate the initial noise average value of the spectrogram, and determine the initial elimination threshold value according to the noise average value; perform at least one outlier elimination process to eliminate the spectral data greater than the elimination ...

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Abstract

The invention discloses a noise estimating method, a key optimizing method and a system thereof. The method includes the following steps: an initial noise average value of a sound spectrogram is estimated, and an initial elimination threshold value is determined according to the noise average value; wild value elimination processing is carried out for at least one time, so as to eliminate sound spectrogram data larger than the elimination threshold value; after the wild value elimination processing every time, the noise average value is estimated again, so as to determine the elimination threshold value of the next wild value elimination processing; finally, the noise average value estimated the last time is set as a noise estimating result. In the invention, at least one wild value elimination processing is added in the conventional noise estimation so as to eliminate abnormal values with larger amplitude in an original noise curve, and the noise average value is estimated again after the wild value elimination processing so as to carry out the subsequent calculating process.

Description

technical field [0001] The invention relates to the Doppler imaging technology of an ultrasonic diagnostic imaging system, in particular to the technical field of aliasing judgment and parameter optimization in the one-key optimization process of Doppler imaging. Background technique [0002] Spectral Doppler technology is widely used in the non-destructive detection and measurement of blood flow velocity in blood vessels. The basic principle is that the ultrasonic waves emitted by the ultrasonic transducer enter the heart or blood vessels, are scattered by moving red blood cells, and produce frequency shifts. The backscattered echo is received by the detector, the Doppler frequency shift is detected through signal amplification processing, and the moving speed and distribution of red blood cells are obtained after processing. Changes in the velocity of red blood cells over time form the Doppler spectrogram. Such as Figure 4 As shown, the ultrasonic Doppler signal processi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B8/06
Inventor 李雷李勇崔晗
Owner SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD
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