利用MR和CT三维图像计算主动脉几何形状

IF 2 4区 计算机科学 Q2 Computer Science
Maryam Altalhi, S. Rehman, Fakhre Alam, A. Alarood, A. Rehman, M. Irfan Uddin
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引用次数: 1

摘要

主动脉和冠状动脉几何参数的正确计算对手术计划、疾病诊断和血管年龄变化的观察具有重要意义。主动脉和冠状动脉的精确几何知识是正确调查心脏相关疾病所必需的。主动脉和冠状动脉的几何形状包括升、降主动脉和冠状动脉的直径、冠状动脉的长度、冠状动脉的分支角和分支点。动脉的这些几何参数可以从三维图像数据中计算出来。在本文中,我们提出了一种计算几何参数的方法,如主动脉的长度、直径和冠状动脉的角度。该方法可以自动计算主动脉和左右冠状动脉的几何形状。通过对主动脉进行逻辑分割,计算中心线,提取主动脉和冠状动脉的特征来计算几何形状。该方法已在不同的三维CT/MR图像数据上进行了测试。在不同的数据集上测试了该方法的结果,以检验其准确性。结果表明,与已有方法相比,该方法在处理噪声图像数据时精度更高,计算时间更短。使用可视化工具箱(VTK)对得到的结果进行可视化和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of Aortic Geometry Using MR and CT 3D Images
The proper computation of geometric parameters of the aorta and coronary arteries are very important for surgery planning, disease diagnoses, and age-related changes observation in the vessels. The accurate knowledge about the geometry of aorta and coronary arteries is required for the proper investigation of heart related diseases. The geometry of aorta and coronary arteries includes the diameter of the ascending and descending aorta and coronary arteries, length of the coronary arteries, branching angles of the coronary arteries and branching points. These geometric parameters from arteries can be computed from the 3D image data. In this paper, we propose an approach for calculating geometric parameters such as length, diameter of the aorta and angles of the coronary arteries. The proposed method automatically computes the geometry of aorta and left and right coronary arteries. The geometry is computed by logically dividing the aorta, calculating the centerline and extracting the features of aorta and coronary arteries. The method has been tested on different 3D CT/MR image data. The results of the proposed method are tested on different data sets to check its accuracy. The results show more accuracy and less computation time on noisy image data as compared to the already developed method. The obtained results are visualized and compared using visualization toolkit (VTK).
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来源期刊
Intelligent Automation and Soft Computing
Intelligent Automation and Soft Computing 工程技术-计算机:人工智能
CiteScore
3.50
自引率
10.00%
发文量
429
审稿时长
10.8 months
期刊介绍: An International Journal seeks to provide a common forum for the dissemination of accurate results about the world of intelligent automation, artificial intelligence, computer science, control, intelligent data science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence, cyber security and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of systems engineering and soft computing. The journal will publish original and survey papers on artificial intelligence, intelligent automation and computer engineering with an emphasis on current and potential applications of soft computing. It will have a broad interest in all engineering disciplines, computer science, and related technological fields such as medicine, biology operations research, technology management, agriculture and information technology.
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