心脏体素化三维模型感兴趣血管交互式显示方法研究

任国印; 吕晓琪; 杨楠; 喻大华

doi:10.3788/YJYXS20183305.0433

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心脏体素化三维模型感兴趣血管交互式显示方法研究

图像处理 | 更新时间：2020-08-12

- 心脏体素化三维模型感兴趣血管交互式显示方法研究
- Interactive display methods of vessel of interest within voxelized three-dimensional cardiac model
- 液晶与显示 2018年33卷第5期页码：433-442
- 作者机构：
  
  1.内蒙古科技大学信息工程学院, 内蒙古包头 014010
  2.包头医学院, 内蒙古包头 014010
- 作者简介：
  
  [ "任国印(1985-), 男, 内蒙古包头人, 硕士, 讲师, 2013年于内蒙古科技大学获得硕士学位, 主要从医学图像处理方面的研究。E-mail:renguoyin@imust.edu.cn" ]
  [ "吕晓琪(1963-), 男, 内蒙古包头人, 教授, 2003年毕业于北京科技大学信息工程学院获计算机软件与理论方向博士学位。2005年11月至2006年4月, 美国德克萨斯(TEXAS)大学高级研究学者。现为内蒙古科技大学副校长、上海大学兼职博导、内蒙古科技大学硕导, 主要从事模式识别和医学图像处理的研究。E-mail:1712152231@qq.com" ]
  杨楠, E-mail: nan_yang1988@163.com
- 基金信息：
  
  国家自然科学基金(61179019);国家自然科学基金(81571753);赛尔网络下一代互联网技术创新项目(NGⅡ20170705);包头市青年创新人才项目;National Natural Science Foundation of China(61179019);National Natural Science Foundation of China(81571753);CERNET Innovation Project(NGII20170705);Baotou Youth Innovative Talent Project
- DOI：10.3788/YJYXS20183305.0433
  中图分类号： 445.3
- 收稿日期：2017-11-18，
  
  录用日期：2018-3-12，
  
  纸质出版日期：2018-05
- 稿件说明：
移动端阅览
任国印, 吕晓琪, 杨楠, 等. 心脏体素化三维模型感兴趣血管交互式显示方法研究[J]. 液晶与显示, 2018,33(5):433-442.

Guo-yin REN, Xiao-qi LV, Nan YANG, et al. Interactive display methods of vessel of interest within voxelized three-dimensional cardiac model[J]. Chinese journal of liquid crystals and displays, 2018, 33(5): 433-442.
任国印, 吕晓琪, 杨楠, 等. 心脏体素化三维模型感兴趣血管交互式显示方法研究[J]. 液晶与显示, 2018,33(5):433-442. DOI： 10.3788/YJYXS20183305.0433.

Guo-yin REN, Xiao-qi LV, Nan YANG, et al. Interactive display methods of vessel of interest within voxelized three-dimensional cardiac model[J]. Chinese journal of liquid crystals and displays, 2018, 33(5): 433-442. DOI： 10.3788/YJYXS20183305.0433.

摘要

通过应用线性八叉树将心脏三维模型离散成体素以快速提取并显示局部任意感兴趣血管，把三维模型离散成体素后，利用多边形交互区域选择感兴趣体积内部体素。根据26-邻接体素的拓扑关系和体素互信息相似度比较结果，最终确定最佳深度和最佳互信息阈值分别为14和-1.375，以此来寻找感兴趣体积中同一组织的体素集合。最终实现了三维医学影像中任意感兴趣血管的精确显示，该技术可被视为用一个提取工具将任意局部三维模型进行提取并进行四维动态显示的过程。实验结果表明：与C-V三维分割算法精度90.1%相比，本分割算法平均精确度达到96.02%；运行时间从13.8 s缩短为10.7 s；四维播放帧数最大40 FPS，基本满足了血管三维分割的临床需求。该算法不仅可以快速地分析局部病灶的生理学特点和病理特征，而且让医生更加直观、便利地观察病人心脏任意局部血管的实际运动状况，以便做出临床决策。

Abstract

In the paper

the linear octree was used to separate the 3D model of the heart into voxels and to achieve the purpose of rapid display of any interested vessels. After the 3D model is separated into voxels

the polygon area is used to select inside voxels of VOI. Based on the topological relation of 26-adjacent voxels and the similarity of voxel mutual information

the final optimal depth and best mutual information threshold are confirmed as respectively14 and-1.375

thus discovering the voxel set of the same tissue in the volume of interest. The technology ultimately achieves the precise display of any VOI from a medical image. This technique can be viewed as a process of extracting any local three-dimensional model with an extraction tool and performing a four-dimensional dynamic display. Experimental results show that compared with C-V 3D segmentation algorithm accuracy of 90.1%

the average accuracy of this segmentation algorithm has reached 96.02%;running time is shortened from 13.8 s to 10.7 s; 4D playback framer has reached its maximum 40 FPS

which basically meets the clinical needs of vascular 3D segmentation. It is not only a good way to quickly analyze the physiological and pathological characteristic for the local lesion

but it is more intuitionistic and convenient for doctors to observe the actual condition of any local blood vessel of the patient's heart

which contributes to clinical decision-making.

关键词

Keywords

references

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