| With the development of positron emission tomography(PET),pet has become an important tool in oncology and cardiology treatment and detection in medical research.There is a growing demand for PET data rendering.At present,people’s life is getting richer and richer,mobile devices such as mobile phones have entered everyone’s life.Therefore,in order to enable medical data rendering to be opened in any electronic device,so that researchers can more easily and quickly see the results of medical data rendering,we need a robust and scalable medical data rendering system based on Web GL.The essence of medical data rendering is to read and render medical data.But for a long time,the rendering work of webgl has been completely controlled by the rendering developers,lacking of abstraction and modularization.The purpose of this paper is to use the idea of rendergraph to develop the rendering of medical data in modularization,abstracting every small and simple rendering process into a pass,and the final rendering can be constructed in the form of building blocks The whole rendering process.At present,for pet medical data,its rendering function mainly includes three view rendering and concentration data rendering.At the same time,due to the high consumption of rendering3 D medical data,converting rendering to post-processing process can reduce the cost of hardware anti-aliasing,so some mature anti-aliasing algorithms applied in post-processing are also needed.In addition,when the modular rendering process is implemented,the resource allocation can be further optimized to reduce the resource cost of the system.When the modular medical data rendering process is completed,the resource cost can be greatly reduced and the system performance can be improved.At the same time,it can also greatly reduce the difficulty of using the rendering system.In other words,the future medical data rendering can only be realized by calling an API,and increasing the function of the rendering system only needs to add a small module.The usability and scalability of the system will be greatly improved. |