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Heart model parameter identification method based on atrioventricular plane longitudinal displacement

A technology of model parameters and longitudinal displacement, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of inaccurate description of dynamic processes such as heart-pump coupling and inability to reflect the mechanical movement process of the ventricular wall, and achieve accurate dynamics The effect of academic characteristics

Pending Publication Date: 2022-02-25
XUZHOU NORMAL UNIVERSITY
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Problems solved by technology

However, the biggest disadvantage of this type of model is that it cannot reflect the mechanical motion process of the ventricular wall, so the description of dynamic processes such as heart-pump coupling is not accurate

Method used

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  • Heart model parameter identification method based on atrioventricular plane longitudinal displacement
  • Heart model parameter identification method based on atrioventricular plane longitudinal displacement
  • Heart model parameter identification method based on atrioventricular plane longitudinal displacement

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Embodiment 1

[0035] like figure 1 As shown, a method for identifying cardiac model parameters based on the longitudinal displacement of the atrioventricular plane, first uses the designed discriminant filter to track the characteristic region of the atrioventricular plane, and then uses the FAST algorithm and K-means clustering algorithm to select the region The most representative 10 groups of feature points are used as the input points of the atrioventricular plane, and then the average displacement of these 10 groups of atrioventricular plane input points is calculated as the parameter for evaluating the displacement of the cardiac atrioventricular plane. parameter identification.

[0036] Method of the present invention specifically comprises:

[0037] Step1: Track the input point

[0038] Input points are tracked using a discriminative correlation filter with channel and spatial reliability. This discriminative correlation filter mainly includes two parts: learning update and targe...

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Abstract

A heart model parameter identification method based on atrioventricular plane longitudinal displacement comprises the steps that through a heart nuclear magnetic resonance image obtained clinically, key points of an atrioventricular plane are calibrated on the image, a tracking algorithm is used for tracking the key points to obtain atrioventricular plane displacement, then atrioventricular plane displacement parameters are input into a heart model, and important physiological parameters of the heart can be identified through a Kalman filter. According to the method, the problem that many abnormal values exist when segment software is adopted to track the key point positions of the atrioventricular plane can be solved, and the atrioventricular plane displacement curve better conforms to the physiological performance of the atrioventricular plane displacement curve by optimizing the detection mode; a new heart model is constructed, the dynamic characteristics of the heart can be described more accurately, the important physiological parameters of the heart are identified through the Kalman filter, the method is simple, and the identification accuracy is high.

Description

technical field [0001] The present invention relates to cardiac medicine, image processing technology and cardiac dynamics model, in particular to a method for identifying cardiac model parameters based on the longitudinal displacement of atrioventricular plane. Background technique [0002] Atrioventricular Plane Displacement (AVPD) is an index reflecting the systolic and diastolic function of the heart, accounting for 60% of the left ventricle and 80% of the right ventricle. AVPD is commonly measured clinically as mitral and tricuspid annular plane systolic excursions (MAPSE and TAPSE) on echocardiography but is not widely used in cardiovascular magnetic resonance (CMR). To date, no robust automated algorithm allows clinical measurement of AVPD in CMR with input within a single time frame. In 2017, Felicia Seemann proposed a calculation method for cardiac atrioventricular plane displacement. Felicia Seemann uses segment software to calculate the atrioventricular plane. L...

Claims

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Application Information

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IPC IPC(8): G06T7/277G06T7/11G06K9/62G06V10/762
CPCG06T7/277G06T7/11G06T2207/30101G06T2207/10088G06F18/23213
Inventor 黄欢朱卓樾
Owner XUZHOU NORMAL UNIVERSITY
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