Coronary Vessel Model Reconstruction Based On Angiography

In order to meet the demand of digital assisting technology for the cardiovascular interventional surgery in China,the reconstruction method of 3D model of coronary artery based on multi-angle angiography images is studied.The key enabling technologies involved are explored.Aiming at improving the non-intuitive situation caused by two-dimensional angiography observation in clinic,The coronary artery information from two-dimensional angiography images is effectively extracted to reconstruct the three-dimensional model of coronary artery.At the same time,it provides key technical support for the efficient construction of personalized three-dimensional digital cardiovascular model,which is of great significance to the interventional treatment and diagnosis of cardiovascular diseases.Based on the research in the hospital,the three-dimensional coronary artery reconstruction scheme was developed.The relevant data were collected.Firstly,two schemes,the Frangi Filter2 D filter segmentation algorithm and the U-Net network,were used to segment the coronary arteries.Because of the complex background of coronary angiography images,the data of coronary angiography was enhanced using the morphological Top-hat transformation based on the grayscale difference between the coronary vessels and the background before Frangi Filter2 D segmentation was performed.The two segmentation results were then evaluated with three indexes of specificity,sensitivity and accuracy to lay the foundation for vascular information extraction.Secondly,based on the study of the principle of spatial motion of the contrast plane of the rotational coronary angiography system,the construction of the transformation matrix is completed.In order to avoid problems such as cross artifacts in reconstructed coronary arteries,the coronary arteries were separated in a single root.The Canny edge line extraction and the morphological refinement method were used to ensures the single pixel width of the coronary arteries.After that,the two-dimensional key information points of the coronary arteries were extracted by using the eight-chain code extraction coordinate method.The three-dimensional transformation of the coronary artery points was completed with the overall consideration of the transformation matrix and the theory of the contrast equipment.Finally,with the B-rep representation,the coronary 3D reconstruction system was constructed based on the coronary 3D key information points by using the cross-platform language Qt and the geometric modeling kernel Open CASCADE.The reconstruction of single coronary artery was realized.On top of that,these single coronary arteries were merged by using the Boolean operations to create the interactive models for the left and right coronary arteries as well as the lesion sites.Based on the information of 2D coronary angiography from different angles,the image segmentation technology for the coronary vessel,the principle of angiography system,and the geometric kernel of 3D modeling,the 3D model of coronary vessels was reconstructed overcoming the artifact problem caused by the reconstructing process of sectional images.The3 D coronary artery reconstruction system with the visual interaction functions,such as translation,rotation,and scaling,can assist doctors to observe the 3D structure of the coronary artery and the involving focal areas in it more clearly and intuitively.The key enabling technologies of the 3D digital cardiovascular model construction were explored in our study of the 3D reconstruction of coronary artery based on multi-angle coronary angiography images.This work can assist doctors to diagnose the disease,identify focal site of the coronary artery,and lay the foundation for following intravascular hemodynamic analysis.Meanwhile,it provides the 3D vascular model for the further study of preoperative training system for the interventional therapy.