Method and device for processing two-dimensional spectrum Doppler echocardiography image

Abstract

The embodiment of the invention relates to a method and a device for processing a two-dimensional spectrum Doppler echocardiography image. The method comprises the following steps: acquiring the two-dimensional spectrum Doppler echocardiography image; performing region-of-interest image extraction processing to generate a second image; performing Gaussian blurred image processing to generate a third image; performing binarization processing to generate a fourth image; frequency spectrum envelope line identification is carried out to mark a first envelope line; performing peak point identification on the first envelope line to mark a plurality of first peak points; performing left and right baseline point identification on each first peak point to mark a corresponding first left baseline point and a first right baseline point; measuring and calculating blood flow parameters to generate a corresponding blood flow parameter group sequence; and calculating an average value of all similar parameters in the blood flow parameter group sequence. According to the invention, the problem that the measurement accuracy is reduced or the measurement quality is unstable due to artificial factors can be solved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for processing two-dimensional spectrum Doppler echocardiographic images. Background technique [0002] Spectral Doppler echocardiography (Spectral Doppler Echocardiography) can be used to measure parameters related to blood flow velocity, such as peak flow velocity, acceleration time, deceleration time, ejection time, etc. Spectral Doppler echocardiography has longitudinal blood flow With the flow velocity scale and the horizontal time scale scale, the operator can mark the key points on the spectral Doppler echocardiogram to calculate the approximate peak flow velocity, acceleration time, deceleration time, and ejection time parameter values. Calculation of blood flow parameters in this way, on the one hand, relies too much on the experience level of manual key point marking, and its accuracy cannot be guaranteed; The pressure gradient associated wi...

AI Technical Summary

Problems solved by technology

Through the present invention, when measuring blood flow parameters based on spectral Doppler echocardiography, not only can the problems of reduced measurement accuracy or unstable measureme...

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