Design And Realization Of VTK-based Medical Imaging Visualization System On Android Platform

After years of development, medical image processing technology has, in computer terminals, made a lot of research results, which can provide to doctors more vivid and real information. In recent years, with the constant development of software and hardware of mobile devices, it is made possible to do research and development on medical image processing platforms on mobile devices.Android platform is completely open to developers compared to other mobile systems. This feature has attracted many developers to develop applications for it, thus providing for users a rich library of applications. Also Android platform has an absolute advantage in market share. Based on the characteristics of Android platform, this system adopts the Android platform to create a platform for the system.This thesis developed a mobile medical image visualization system based on VTK(Visualization Toolkit) on Android platform, whose main tasks include:(1) Make research and analysis on the principle of visualization algorithms in three-dimensional imaging as well as the status quo for the development of medical image visualization system at home and abroad, and comparative analysis is also made to the method of surface and volume rendering;(2) Make research on the system architecture of Android platform and UI display principle, and make detailed design on the framework, system function and operational flow of medical image data visualization on Android platform;(3) Make in-depth analysis of VTK-class library as well as its visualization mechanism. In combination with the JNI(Java Native Interface) and NDK(Native Development Kit) technologies, the visualization system is realized on the Android platform based on the VTK, which can overcome the CPU(Central Processing Unit) and memory constraints on the mobile devices and provide quality 3D display models.This article designs and implements the medical imaging visualization system, which can provide users with more real medical images. It facilitates doctors to make analysis to symptoms from multiple angles on the mobile platform. It is of practical significance to research and development in aiding doctors for diagnosis.