医学脏器VRML三维重建的动态切割  被引量:4

The Dynamic Concision for Three-Dimensional Reconstruction of Human Organ Built with Virtual Reality Modeling Language(VRML)

在线阅读下载全文

作  者:禹正扬[1] 郑树森[2] 陈槐卿[3] 王建军[4] 熊庆文[4] 敬万钧[4] 曾郁[1] 

机构地区:[1]南华大学附属第一医院肿瘤外科,衡阳421001 [2]浙江大学医学院附属第一医院多器官联合移植重点实验室,杭州310003 [3]四川大学华西医学中心生物医学工程研究室,成都610041 [4]电子科技大学计算机学院虚拟现实实验室,成都610054

出  处:《生物医学工程学杂志》2006年第5期1104-1108,共5页Journal of Biomedical Engineering

基  金:中国博士后基金资助项目(2003034518);浙江省卫生厅资助项目(2004B042);浙江省博士后择优资助项目(2005029)

摘  要:运用虚拟现实建模语言(VRM L)进行医学脏器三维重建,探讨JavaScript语言在重建后模型动态切割中的应用。基于患者实例,在对D ICOM 3.0标准医学二维图像后处理基础上,利用VRM L建模进行脏器三维重建并利用VRM L的Script节点、传感器节点,实现三维医学模型的动态切割。通过VRM L建模得到较高质量的脏器立体图像并提供较好的人机实时交互环境,结合JavaScript能实现重建脏器的动态切割、移动、旋转等功能。利用VRM L建模进行医学脏器三维重建并结合JavaScript对三维模型进行动态切割,在成像质量和实时交互性等方面具有一定的优越性,有较大的临床实际应用价值。This research studies the process of dynamic concision and 3D reconstruction from medical body data using VRML and JavaScript language, focuses on how to realize the dynamic concision of 3D medical model built with VRML. The 2D medical digital images firstly are modified and manipulated by 2D image software. Then, based on these images, 3D mould is built with VRML and JavaScript language. After programming in JavaScript to control 3D model, the function of dynamic concision realized by Script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be formed in high quality near to those got in traditional methods. By this way, with the function of dynamic concision, VRML browser can offer better windows of man-computer interaction in real time environment than before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and has a promising prospect in the fields of medical image.

关 键 词:虚拟现实建模语言(VRML) 三维重建 动态切割 JAVASERIPT 传感器 

分 类 号:R318[医药卫生—生物医学工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象