The Research Of Reconstruction Technology In The Three-dimensional Virtual Image Of Cardiac Ultrasound Images

Heart vascular disease is one of most dangerous diseases for human health, while the requirementof its pre-discovering and wound-less diagnosing poses a severe problem to medical researchers. Therapid developmemt of modern medical image formation technique can provide doctors with globalinformation of cardiac structure. The heart, which is the power source of human circulatory system, isone of the most important organs of human bodies. It is such a complex integrated system that includesphysiology, dynamics, blood hydrodynamics and neurological, biochemical control. Modeling is anefficient tool to analyze the complex problems of biology. This thesis carries out a study on the analysisand modeling of coronary images by employing computer vision methods, also we have investigatedseveral key problems.This paper mainly focused on the medical ultrasonic image. Due to its unique real-timeperformance, non-destructive property, low cost, high sensitivity and other advantages, medicalultrasonic image is widely used in clinical diagnosis. It has high potential in quantitive analysis,real-time monitoring and treatment scheduling etc. However, due to the random disturbance ofelectronic devices inultrasonic imaging system, and the effect of the environment, in the process ofacquiring image, there will be some noises and distortions which may influence image quality.Therefore, we need to take some measures to improve the image quality, for instance, abating eachnoise, which are called image enhancement technology.First, this paper briefly described the development of medical ultrasound and the imagingprinciple, and introduced some existing medical ultrasonic image enhancement algorithms according toultrasonic image characteristics. These algorithms were put into experiment and a comparison wasmade among them. Directing toward the advantages and disadvantages of these algorithms, this paperuse the combining method of RNWD filtering and FCM filtering. After obtaining a high quality imageby enhancement process, segmentation operation was executed on the enhanced image using someexisting segmentation method. Based on the advanced segmentation technology—Fuzzy C-Meanalgorithm segmentation method, this paper adoptted Particle Swarm Optimization algorithm-basedFuzzy C-Mean algorithm segmentation method and achieved good result.Then, this thesis describes the background, meaning and recent development of three-dimensionalultrasound imaging technology, then researches the basic techniques and methods involved intwo-dimensional image processing and three-dimensional image visualization. In summing up theprevious work and analysis needs of practical application, it proposes the methods of ultrasoundtwo-dimensional image processing and three-dimensional reconstruction and displaying for human heart. In the three-dimensional reconstruction and display section, a variety of algorithms forthree-dimensional medical image reconstruction, domestic and international mainstream medicalalgorithm development platform have been studied. On the basis of the two-dimensional imageprocessing results, achieved the three-dimensional ultrasound images of the surface mapping andvolume rendering, the experimental results have been given. Also by the idea of software engineeringof functional modules, on the basis of MITK package and VC++ environment, achieved athree-dimensional visualization software system with the functions of two-dimensional imagesequences displaying, three-dimensional mapping of surface mapping, reconstruction, and otherfunctions. Through human-computer interaction, it can also operate the rotation, zooming and otheroperations to the reconstructed image, so that doctors can fully understand the nature of the lesions andaround three-dimensional structure of the organ, thus much easier to make clinical diagnosis.