Method for measuring myocardium ultrasonic angiography image physiological parameters based on empirical mode decomposition (EMD)
A technology of empirical mode decomposition and contrast-enhanced ultrasound, applied in image data processing, image analysis, instruments, etc., can solve the problems of limited clinical practical value and inability to express the nature of the area to be diagnosed
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[0032] Specific implementation mode one: as figure 1 As shown, the method for measuring physiological parameters of myocardial contrast-enhanced ultrasound images based on empirical mode decomposition in this embodiment includes the following steps: firstly, the myocardial region of the myocardial contrast-enhanced image is divided into 6 regions in a clockwise direction, and each region is extracted respectively. The time-intensity curve in the process; use the EMD method to decompose the time-intensity curve to obtain the eigenmode functions corresponding to different frequencies; perform Hilbert transformation on the eigenmode functions respectively to obtain various instantaneous characteristic parameters, and finally get Hilbert marginal spectrum, according to the judgment of the energy threshold, can obtain the physiological parameters of myocardial perfusion corresponding to the myocardial contrast image, including the range of respiratory frequency and heartbeat frequen...
specific Embodiment approach 2
[0073] Specific implementation mode 2: In order to evaluate the time-intensity curve analysis of myocardial ultrasound images by using empirical mode decomposition, and the measurement and research of physiological parameters in the myocardial perfusion process by using marginal spectrum, this implementation mode takes the myocardial contrast-enhanced ultrasound images of SD rats as an example , to implement the above process in detail.
[0074] Execute Step 1: Carry out six-region segmentation on the myocardial contrast-enhanced ultrasound images of SD rats, such as image 3 Shown, represent the anterior wall myocardial area, lateral wall myocardial area, posterior wall myocardial area, inferior wall myocardial area, posterior septal myocardium area and anterior septal myocardium area of rat myocardium, respectively.
[0075] The time-intensity curves of rat myocardial contrast-enhanced ultrasound images were extracted. Taking time as the abscissa (each ultrasound image fr...
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