Research On Collaborative Visualization Of Medical Data Based On Multi-host And Multi-expert

The editing of 2D images is like drawing on a drawing board,and various drawing tools can be used for interaction.The operation is simple and easy to implement.However,the editing of 3D data has great challenges.The 3D data not only contains depth information but also is restricted by various interactive devices.Therefore,this paper proposes a system for editing 3D data through the interaction of 2D images,and applies it to the exploration of 3D medical data to help doctors diagnose diseases and medical students learn human histology.The system is divided into two parts,one is the editing of medical slices,and the other is the display of 3D results.In the editing of medical slices,users can make stylized explanations with tools such as pencils and erasers,and observe the effects of editing in the 3D results.In order to realize the connection between medical slices and 3D data,that is,to complete the migration from2 D to 3D,this paper proposes three algorithms:1)The algorithm of a slice recommendation based on information entropy.Using the information entropy theory of Shannon,the slice containing the largest amount of information is recommended for the user in the three-dimensional data,thereby reducing the user’s selection time for the slice.2)The algorithm of seed point recommendation based on kernel function.A seed point is a group of points with a local maximum density,which is a representative of different tissue structures in the slice.3)The algorithm of seed tracking.The two-dimensional to three-dimensional migration is realized by using the hybrid area growth algorithm,and the edited styles in all slices are transferred to the three-dimensional data using seed points.With the increase of volume data,in order to take advantage of multi-user collaboration to improve the efficiency of data interpretation,this paper proposes a multi-user collaboration visualization system.The system can enable different experts to explore data based on their own professional knowledge,facilitate brain experts to explore head data,lung experts to explore lung data,and skeletal experts to explore bone data.In order to better adapt to multi-user editing while taking into account the compatibility of different devices,the system adopts a browser-server(B/S)design structure.In the design structure,the server is mainly responsible for data processing and the operation of various visualization algorithms,and the browser is mainly responsible for data selection and interactive work.Use the browser not only to operate on the computer,but also to complete the operation on the tablet.Finally,the usability of the system is verified through the analysis of user operations and results.