Research On 3D Reconstruction Technology And Visualization System Design For Human Head CT Image

With the development of computer technology and medical technology,medicine has gradually integrated into modern society,and medical image has become a hot topic in recent years.Physicians in various large hospitals have increasing practical requirements for three-dimensional imaging.Medical image processing is the process by which a physician obtains an image of the human body or a portion of a body’s internal tissue noninvasively,and is used in medical or medical research technology.Computer tomography is a high resolution and widely used medical image processing technology.Because the processing of CT images is relatively complex,it is difficult to determine the location of the source of disease,and 3D visualization of medical images can help doctors diagnose the disease in real time,so it is of practical significance to study the 3D visualization system of CT images.The head is a key part of the human body.Precise segmentation and visualization of the area can promote the pre-operative planning and intraoperative navigation.However,due to the presence of additive noise and a large number of zero-value pixel points in the CT image,it will cause meaningless loss of the server.Therefore,it is important to carry out systematic research on segmentation and visualization of relevant images to improve the automation capability of medicine.This thesis takes medical head CT images as the research object,uses MFC and VTK toolkits,and combines the Marching Cube algorithm,to carry out the design of a visualization system for CT images:(1)CT image preprocessing operations were realized and the basic knowledge was mastered.Starting with the development and rules of CT technology,an understanding of the file format type,and a format transformation to CT images is achieved;The intermediate data were filled by interpolation of images to ensure the morphology was complete and the role of different methods was differentiated;Analyze the image filter,introduce filter processing to avoid the interference of noise with discrete pixels,while morphological arithmetic is to depict the data,save the most essential structure of the image and remove hetero points.Image enhancement was achieved with histogram equalization,and these preprocessing modalities guaranteed image quality to some extent,and laid the foundation for later operations.(2)The main 3D reconstruction techniques of medical images are studied.Firstly,the region of interest is obtained through image segmentation and region extraction,so as to reduce the amount of pixel calculation in the later stage and lay the foundation for the improvement of the algorithm reconstruction speed.In the aspect of 3D reconstruction and rendering,the two mainstream reconstruction algorithms "surface rendering" and "volume rendering" are analyzed,including Marching Cube algorithm,Contour Filtering algorithm and Ray Casting algorithm,to realize the discrimination of different methods.The reconstruction process is mainly carried out by the Marching Cube algorithm in surface rendering,and the algorithm and implementation process are thoroughly understood to reflect the effect of the algorithm in the experiment.Finally,the simulation rendering effect is built by combining the light correction model to form the reconstruction experimental data volume model.(3)Visual data interactive validation.The VS2010 and VTK5.6 visualization libraries were used as development platforms for sequence reading and visualization analysis.First implement the toolkit framework,then conceive the overall design of the system,consider the experimental infrastructure,and clarify the design objectives,application structure,and workflow.Subsequent sub-module design discusses the principles and implementation behind it,which can be divided into image reading,image preprocessing,image segmentation,image reconstruction,image interaction and background data reports.Integrate these into the visualization system and verify them.Finally,the running results of the program are verified by constructing test cases and analyzed.The experimental data show that the results of three-dimensional reconstruction can visualize the distribution of head tissues with good accuracy and can be used for experimental simulation and virtual surgery operation.