A method and device for constructing a three-dimensional blood vessel model

Abstract

The embodiment of the invention discloses a method and device for constructing a three-dimensional blood vessel model. Plaque images in each vessel cavity are analyzed to obtain composition information of the plaque in the vessel cavity by obtaining plaque image in each vessel cavity of the object blood vessel from ultrasound images in the first blood vessel, the composition information comprises the type information of each composition of the plaque in the vessel cavity and the mass percent of each information in the plaque in the vessel cavity, a second intravascular ultrasound image including the first intravascular ultrasound image and the composition information of the plaque in the vessel cavity is generalized accordingly, and the three-dimensional blood vessel model of the target blood vessel with composition information of the plaque is obtained by fusing the two-dimensional frame image and the second intravascular ultrasound image. According to the method provided by the invention, a user can obtain the composition information of the plaque directly, and obtain the harden degree and the type of the plaque according to the obtained composition information of the plaque.

Description

technical field [0001] The present application relates to the field of medical technology, in particular to a method and equipment for constructing a three-dimensional blood vessel model. Background technique [0002] The existing three-dimensional vascular model reconstruction methods are mainly based on X-ray coronary angiography (CAG) technology, which pushes a contrast agent into the human blood vessel through a special catheter, and takes multiple images from different angles to obtain the target blood vessel. The two-dimensional projection image in the long axis direction of the target blood vessel can be obtained to obtain the spatial geometric information of the target blood vessel, and the abnormal position of the anatomical shape of the blood vessel can be judged according to the static or dynamic observation of the filling and disappearance of the contrast agent. Therefore, there is not only a blind area, but also the structure of the vessel wall of the target ves...

AI Technical Summary

Problems solved by technology

With the rapid development of modern science and technology, the current lack of adequate exercise and other unhealthy lifestyles, or the number of people who mainly work in meditation or mental work, have a high-fat diet, or have a large increase in the number of people, resulting in a further increase in the number of people with vascular diseases. It also makes the age of onset of people with cardiovascular disease further earlier. Therefore, as a systemic disease, vascular disease has attracted widespread attention. Whether early detection and early intervention will have a significant impact on the health of the population, but the current existing technology It can only achieve three-dimensional reconstruction of the internal and external shapes of blood vessels. The information obtained is very single, with few types of information, low comprehensiveness of information, and low accuracy of information. The parameter information of the external shape, especially the physical characteristics of the blood vessel itself, such as the degree of plaque sclerosis, the distribution and type of plaque, and the physical characteristics of the blood vessel wall, cannot be analyzed, and thus cannot provide information for the diagnosis and treatment of cardiovascular diseases. Comprehensive parameters, and the existing vascular wall simulation method is too complicated and difficult to operate, which prevents medical staff from further analyzing or simulating the virtual vascular model, which limits the operation, analysis and simulation of the 3D vascular model, which in turn makes The application performance of the three-dimensional vascular model is reduced, and it is not suitable for clinical application, so that the type of cardiovascular disease cannot be detected early, and early intervention will have a significant impact on the health of the population with cardiovascular disease

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