Method for predicting growth of coronary atherosclerotic plaque

Abstract

The invention belongs to the technical field of medical imaging, and particularly relates to a method for predicting the growth of coronary atherosclerotic plaque. The method comprises the steps thatIVUS images and OCT images of at least two moments are segmented respectively, then the segmented IVUS images and OCT images are fused, a three-dimensional multi-modality fluid-solid coupling model with cyclic bending is established according to a fused contour, a mechanical result of the model is calculated, risk factors of mechanics and morphology are extracted in combination with a morphological result, a plaque growth indicator is given, and the growth of the plaque is predicted by using a machine learning method, thereby providing an accurate and reliable method for predicting the growthof coronary plaque. The method for predicting the growth of the coronary atherosclerotic plaque provides the possibility of clinical application for plaque growth prediction.

Description

technical field [0001] The invention relates to a method for predicting the growth of coronary atherosclerotic plaque, belonging to the technical field of medical imaging. Background technique [0002] The prevalence and mortality rate of cardiovascular diseases in China are still on the rise. It is estimated that the number of patients with cardiovascular diseases is 290 million, and the death rate of cardiovascular diseases accounts for more than 40% of the residents' death from diseases, ranking first. For details, please refer to Chen Weiwei et al. Summary of China Cardiovascular Disease Report 2017, Chinese Journal of Circulation, 2018,33(01):1-8. The mechanisms leading to plaque rupture are unknown, and available screening and diagnostic methods are insufficient to identify victims before an event occurs. Current techniques for diagnosing coronary atherosclerosis often lack accurate and reliable computational mechanics analysis. Available medical imaging devices such...

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Problems solved by technology

Although the OCT image has high resolution, its penetration depth is limited, only about 1-2 mm, so it cannot penetrate the entire blood vessel, and can only see the structure near the blood vessel lumen, so it can only establish a fluid model, and cannot establish a complete solid Model

In view of these characteristics of the OCT image, although it can give detailed information of the thin fiber cap through the advantage of high resolution, it cannot give the complete information of the blood vessel, and it is impossible to establish a complete solid model of the blood vessel only through the OCT image, so it is impossible to Comprehensively Combining Fluid and Solid Mechanics to Predict Plaque Growth

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