Parametric modeling method of ascending aorta, aortic arch and its three branches

Abstract

The method for parametric modeling of the ascending aorta, aortic arch and its three branches according to the present invention belongs to the field of biological 3D printing modeling, and relates to a parametric modeling method for the ascending aorta, aortic arch and its three branches based on anatomical features . This method first obtains CT medical images of patients, imports the data into image analysis software, and adjusts various display parameters. The built-in thresholding function and region growing function of the application software, combined with manual correction, draws the mask of the patient's target blood vessel segment and surrounding constrained organs and tissues; segments the surrounding organs and tissues of the patient's artery, including the sternum, thoracic spine, superior vena cava, trachea, and Pulmonary artery trunk, generate a 3D model of the target vessel segment and surrounding constrained organs and tissues. This method improves the applicability of the implanted aorta and the life of the implant, and can adjust the geometric model of the target blood vessel segment by adjusting multiple sets of specific parameters, so that the blood flow design is personalized, with a high degree of freedom and a high degree of restoration. high.

Description

technical field [0001] The invention belongs to the field of biological 3D printing modeling, and relates to a parametric modeling method of ascending aorta, aortic arch and three branches thereof based on anatomical features. Background technique [0002] The aorta is the main artery of the systemic circulation. As the largest blood vessel in the human body, it undertakes the function of transporting blood to all parts of the body. Aortic diseases can be roughly divided into three types: congenital malformation, acquired physical damage and deterioration, and aortic inflammation leading to damage. In terms of treatment, there are often drug interventions, stent-assisted therapy, and in severe cases, partial aortic replacement is required. There are limited autologous blood vessels available for replacement, and the artificial blood vessels on the market can guarantee biocompatibility to a certain extent, but there are still defects such as poor morphological fit and diffic...

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Problems solved by technology

However, its defects are also obvious. Since it is only for the restoration of the patient's body aorta, there is no way to adjust the size and relative positional relationship of its various parts. Only the restoration has been achieved, but there is no way to optimize the design.

[0004] Another type of rough parametric modeling of the aorta based on some basic data, such as "A Parametric Model for Studying the Aorta Hemodynamics by means of the Computational Fluid Dynamics" by M.Cilla and M.Casales [J].Journal of The research of Biomechanics,2020:109691., because it is oriented to the fluid analysis of a specific parameter, only three parameters, the diameter of the aortic entrance, the width of the aortic arch and the angle between the aortic arch and the descending aorta, are involved in the modeling. Does not take into account the complexity of the aortic arch itself and the surrounding constraints

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