• DocumentCode
    3727590
  • Title

    A study on CT aorta segmentation using vessel enhancement diffusion filter and region growing

  • Author

    Wei He; Yanni Cao; Yanfang Li; Yu Miao; Weili Shi; Fei He; Fei Yan; Zhengang Jiang; Huimiao Zhang

  • Author_Institution
    School of Computer Science and Technology, Changchun University of Science and Technology, No.7089, Weixing, Road, China
  • fYear
    2015
  • Firstpage
    939
  • Lastpage
    943
  • Abstract
    Medical imaging in clinical diagnoses and treatment has been increasingly important, and CT scan has been applied more widely. It is important to extract blood vessels structure for improving planning and navigating in interventional procedures. However, the complexity of vascular structures and the limitation of angiography equipment make vessel segmentation from CT images more challenging. A method for extracting abdominal aorta from CT images is proposed based on vessel enhancing diffusion filters and three-dimensional region growing algorithm. In order to certify the proposed method, a group of clinical CT image series is used and the results show that the proposed method is an effective way for improving the accuracy of abdominal aorta segmentation.
  • Keywords
    "Image segmentation","Biomedical imaging","Computed tomography","Three-dimensional displays","Eigenvalues and eigenfunctions","Noise measurement","Filtering algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378117
  • Filename
    7378117