Abstract

Info

Author(s):: ZHANG Yufang1; GUAN Tianmin1; LIU Guangmeng1; GUO Yanli2; ZHANG Yufen2; 1. School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China; 2. The People’s Hospital of Hebi, Hebi 458030, China

Keywords:: Keywords: CT data; image segmentation; image visualization; medical image

Abstract:: Abstract: Based on medical DICOM sequence image data, the image data is processed by insight segmentation and registration toolkit and visualization toolkit for realizing image preprocessing, filtering, window adjustment and other preprocessing. After different target regions were segmented by region growth method and level set method, the marching cubes for surface rendering and the ray projection method for volume rendering are used to establish the three-dimensional model of target model. With QT and VS2013 as the platform, an image processing system is designed to implement functions such as image reading, preprocessing, two-dimensional segmentation, three-dimensional reconstruction and human-computer interaction. The system which provides convenient and quick operations can be used to build realistic three-dimensional models, accurately locate target areas and realize quick diagnosis, thereby improving the efficiency of the medical staff.