基于改进MC算法的可视化系统设计与实现  

Design and Implementation of Visualization System Based on Improved MC Algorithm

作　　者：金龙泉 卢棚 李佳[3] JIN Longquan;LU Peng;LI Jia(College of Computer Science and Engineering,Anhui University of Science and Technology,Huainan Anhui 232000,China;Institute of Energy,Hefei Comprehensive National Science Center,Hefei 230031,China;School of Nuclear Science and Technology,University of Science and Technology of China,Hefei 230031,China)

机构地区：[1]安徽理工大学计算机科学与工程学院,安徽淮南232000 [2]合肥综合性国家科学中心能源研究院(安徽省能源实验室),安徽合肥230031 [3]中国科学技术大学核科学技术学院,安徽合肥230031

出　　处：《长江信息通信》2024年第12期139-142,共4页Changjiang Information & Communications

基　　金：合肥综合性国家科学中心能源研究院(安徽省能源实验室)项目(21KZZ504);安徽高校协同创新项目(GXXT-2022-004)。

摘　　要：为解决二维医学图像无法充分展示细节的问题,实现硼中子俘获治疗中精确有效的三维可视化。对传统移动立方体算法进行改进,在图像插值时,采用中值法替代线性插值方法,减少运算次数,最后将重建结果使用QT进行可视化效果呈现。以人体头部DICOM数据为例进行三维重建的结果表明,相较于2D图像仅提供局部平面信息,改进后的移动立方体算法重建模型能够从更加完整的角度提供三维结构信息,具有更好的重建效率。To solve the problem that two-dimensional medical images cannot adequately show the details and to achieve precise and effective three-dimensional visualization in boron neutron capture therapy.This is achieved by improving the traditional marching cubes algorithm.During image interpolation,the median method replaces the linear interpolation method,reducing computational load.The final reconstruction results are visualized using QT.Using DICOM data of a human head as an example,the three-dimensional reconstruction demonstrates that,unlike 2D images that provide only partial plane information,the improved marching cubes algorithm reconstruction model offers more comprehensive three-dimensional structural information from a more complete perspective and achieves better reconstruction efficiency.

关 键 词：三维可视化 移动立方体算法 中值法 QT 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]