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双源CT心脏图像的三维显示系统
引用本文:宋薇,杜阿安,杨新,薛海虹,孙锟.双源CT心脏图像的三维显示系统[J].CT理论与应用研究,2012,21(3):387-399.
作者姓名:宋薇  杜阿安  杨新  薛海虹  孙锟
作者单位:1. 上海交通大学自动化系,上海200240/上海交通大学系统控制与信息处理教育部重点实验室,上海200240
2. 上海交通大学医学院附属新华医院,上海,200093
基金项目:国家重点基础研究发展计划(973计划)(2010CB732506);上海市基础研究重点项目(09jc1410502)
摘    要:针对心内复杂结构,本文结合三维虚拟内窥镜技术和二维常规观测截面功能,开发了双源CT心脏图像的显示系统。用户可以在本系统内以自动和交互式的两种方式观测心内结构。自动方式,对造影剂增强的数据部分进行基于欧式距离的三维骨架化得到规划路径,光线投射法根据已算出的欧式跳过空白区域,减少了绘制计算量;交互方式,用户可以随时从内窥镜视角切换到当前视点所在的任意截面,便于进行二维和三维的结构和病理综合分析。而且,本系统根据规划路径自动检测标准四腔切面,改善临床检查的效率。本系统采用基于CUDA的体绘制技术有效实现了对心内解剖结构更加直观的观测,便于心脏疾病的诊断和治疗。

关 键 词:双源CT  虚拟内窥镜  CUDA  体绘制

3D Display System for Exploration Cardiovascular DSCT Volume
SONG Weila'b,DU A-anaa'b,YANG Xinla'b,XUE Hai-hong,SUN Kun.3D Display System for Exploration Cardiovascular DSCT Volume[J].Computerized Tomography Theory and Applications,2012,21(3):387-399.
Authors:SONG Weila'b  DU A-anaa'b  YANG Xinla'b  XUE Hai-hong  SUN Kun
Institution:1.a).Department of Automatation; b).Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China 2.Department of Pediatric Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200093, China
Abstract:In order to visualize and analyze the complicated intra-cardiac anatomy, this paper presents a 3D display system from cardiovascular Dual Source Computed Tomography (DSCT) data. In combination of virtual endoscopy (VE) and cross-sectional views for routine clinical inspection, it supplies two different modes to virtually navigate inside the intra-cardiac structures: automatic and interactive, respectively. For automatic mode, the part enhanced by the contrast agent is skeletonized based on 3D Euclidean distance to obtain the flythrough path. The raycasting algorithm is implemented using Euclidean distance to skip empty space to reduce the rendering computational consumption. For interactive mode, to improve the efficiency of diagnosis and fit cardiologists' style, the four-chamber plane that is essential for standard clinical examination can be automatically detected. Meanwhile, users can switch from VE navigation conveniently to an arbitrary cross-sectional view for comprehensive analysis. The Experiments demonstrate that our system can efficiently realize volume rendering with CUDA (Compute Unified Device Architecture) programming to investigate intra-cardiac structures intuitively and facilitate the assessment of heart disease accordingly.
Keywords:dual source computed tomography  virtual endoscopy  compute unified device architecture  volumerendering
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