Method for processing heart movement sequence image by computer

Abstract

The invention discloses a processing method for performing heart movement and material characteristic combined estimation according to the heart movement sequence image. The displacement and speed of the sampling node is obtained by obtaining one cardiac cycle heart movement sequence image. The heart boundary on the sequence image can be divided by the image segmentation method and is matched with the boundary between two continuous frames to form the boundary displacement amount. The finite element model from the heart image is generated according to the heart boundary, the biomechanics model parameter is inputted, the iterative estimate of the cardiac movement and material characteristic is performed through the extended kalman filter method. In the invention, the heart movement parameter and myocardial tissue material characteristic can be conveniently and accurately obtained based on the extended kalman filter theory of state space and under the condition that the partly-known node displacement and boundary condition is realized by the combination of the finite element model.

Description

technical field [0001] The invention relates to a method for processing heart motion sequence images by using a computer, in particular to a processing method for jointly estimating heart motion and myocardial material properties based on the heart motion sequence images. Background technique [0002] The blood circulation system of the human body is responsible for supplying oxygen and nutrients to various organs of the body and taking away waste products produced by metabolism. The heart is the power organ of the circulatory system, and blood circulation is maintained due to the "pump" of the heart. The pumping power of the heart keeps the circulatory system under sufficient pressure. If the heart cannot pump blood, the arterial blood pressure drops rapidly, causing insufficient blood supply to all organs of the body, resulting in dysfunction and even life-threatening. In the diagnosis and treatment of heart disease, how to analyze the heart function and structure from a...

AI Technical Summary

Problems solved by technology

Although the existing analytical methods have achieved certain results, they all treat these two closely related issues separately. On the one hand, for a specific research object (such as a specific patient), we only know the cardiac material The a priori data of the model but do not know the constraint model and its parameters that meet the specific object, so the obtained motion analysis results often cannot fully reflect the cardiac motion state of the specific object, how to select the appropriate model and parameters becomes bottleneck of the problem

On the other hand, the observed motion data from images is usually sparse and noisy, so the obtained cardiac material properties are often not ideal

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