Research For 3D Reconstruction Of CT Image By 3D Printing Of Medical Head Model

With the rapid development of computer graphics and digital image processing technology,3D reconstruction of medical image has become a hot topic in current research,and has been widely used in the medical field of reconstruction of diseased organs,reconstruction of surgical procedures,reconstruction of auxiliary surgical wearable devices and so on.Through 3D reconstruction technology,3D models of various organs can be generated on the computer,which not only provides help for medical staff to carry out clinical observation and diagnosis,but also can be used for personalized production of auxiliary surgical wearable devices to improve the convenience of surgery.Therefore,in practical application,the 3D reconstruction technology of medical image has very important significance.Aiming at the defects of the current positioning method of gamma knife,this paper uses computer technology to reconstruct the medical image of the human head,generate a 3d model file of the head,and implement the design of the medical head model in 3d Max from the perspectives of wearing convenience,disassembly difficulty,positioning stability and patient comfort.This new gamma knife localization method can overcome the shortcomings of existing methods to improve the therapeutic effect and patient experience.Specifically,this paper firstly preprocesses CT images in DICOM3.0 format.These preprocessing steps can remove noise and interference in images and improve image quality.Then,the 3D model of the pre-processed CT image is reconstructed,and the 3D reconstruction algorithm is used to reconstruct the CT image into the 3D model.Then,the 3D reconstructed model is repaired and smoothed to make the model more realistic and accurate.Finally,the medical head mold is designed,and the size,shape and position of the model are adjusted according to the needs,so as to improve the positioning method of gamma knife.In this paper,the filtering methods of head CT images are studied,and the effects of different filtering methods are compared.Bilateral filtering is a very effective filtering method,which can obviously remove the noise in the image and display the clearest image.Therefore,bilateral filtering is selected as the filtering method in this paper.On this basis,different edge segmentation methods were compared for the head CT images after bilateral filtering,and the Canny operator edge detection method was selected,which was the best edge detection algorithm for head CT images by comparison.Then,the effect and efficiency of the 3D model reconstructed by surface rendering and volume rendering are compared,and the moving cube reconstruction(MC)algorithm in the surface rendering method is selected and improved.This algorithm is a reconstruction algorithm based on the voxel model.Through the construction of isosurface,the three-dimensional surface image of the head is reconstructed.Based on the above research,a 3D medical image reconstruction system is designed to verify the fast and effective 3D reconstruction method.After the reconstruction was completed,it was found that the head model had problems such as incomplete,noise and burr,which needed to be repaired.To this end,this paper adopts the model repair technology,by removing noise and burr,make the surface of the figure smooth and even,thus improving the effect of 3D reconstruction.Finally,based on the reconstructed and repaired head model,the design of the medical head model is realized.