Research And Implement Of A Components Based Medical Image Processing Algorithm Toolkit

ITK and VTK are the well-known medical image processing algorithm toolkits, which have some shortcomings, such as study hard, difficult to use, difficult to development and maintenance. In order to provide scientific researchers a better development environment, the development of a components based medical imaging algorithm toolkit has important practical value.The paper implements a components-programming medical image processing algorithms toolkit, which uses components to represent medical image processing algorithms, and uses components and lines between them to create a medical image processing program, which can set up procedures quickly, improving the efficiency of programming greatly. The main achievements are summarized as following:According to the characteristics of medical image processing, we design a programming language for the toolkit, and give an authentication method, as a theoretical basis for the toolkit to realize a grammar parser.After the analysis and comparison of various data flow models, give a tree-dataflow model to implement the components, ports and edges for the toolkit, further clarify the relationship between the components and ports, improve the methods to traversal components and the running efficiency of visual programs.Used JGraph to build a component-programming algorithm for medical imaging toolkit, which provides a friendly programming interface. And it can process various formats including the DICOM medical images, which through extends the baseclass of the toolkit components, the toolkit can freely expand the component library. The experiment result shows that the component-programming toolkit is easy to use, and the creation of medical imaging procedures is simpler and rapider compared with the traditional text programming toolkits.