• DocumentCode
    429305
  • Title

    Segmentation of muscles for 3D representation of acupoints

  • Author

    Zheng, Lei ; Zhao, Jing ; Zhuang, Tiange ; Liu, Hongju ; Bai, Juan ; Yan, Zhenguo ; Tiede, Ulf ; Riemer, Martin ; Höhne, Karl Heinz

  • Author_Institution
    Shanghai Jiao Tong Univ., China
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    1733
  • Lastpage
    1736
  • Abstract
    Based on the dataset of the male Visible Human and the VOXEL-MAN software, original work for 3D representation of acupoints and acupuncture treatment has been reported. To get a realistic model, segmentation is one of the most important procedures in the whole process. The interactive segmentation of objects on the basis of ellipsoidal regions in RGB-space greatly enhances the realism of 3D reconstructions of the Visible Human datasets. Furthermore, this article describes a double-ellipsoids method in RGB-space for the specific segmentation of muscles originally from our mass of work. The whole process can be interactively controlled by an operator via the tools developed by VOXEL-MAN. Some ideal results have been achieved in a short time.
  • Keywords
    biomedical MRI; computerised tomography; image reconstruction; image segmentation; medical image processing; muscle; 3D acupoint representation; 3D reconstruction; RGB-space; VOXEL-MAN software; Visible Human dataset; acupuncture treatment; muscle segmentation; Anatomy; Biological system modeling; Biomedical imaging; Computed tomography; Humans; Image segmentation; Magnetic resonance imaging; Medical treatment; Morphological operations; Muscles; RGB-space classification; Visible Human Project; double-ellipsoids method; morphological operations; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403520
  • Filename
    1403520