• DocumentCode
    1633124
  • Title

    Segmentation of osteosarcoma based on analysis of blood-perfusion EPI series

  • Author

    Hong, Feng ; Zhao, Yongqiang ; Sun, Hao ; Li, Minglu ; Mei, Jiong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
  • Volume
    2
  • fYear
    2004
  • Firstpage
    955
  • Abstract
    The treatment of osteosarcoma has suffered from the lack of the evaluation of the response of the tumor to chemotherapy. The main issue is that osteosarcoma does not shrink in response to chemotherapy; instead, viable tumor is replaced by necrotic tissue. To distinguish the portions within the osteosarcoma accurately, a new segmentation method based on the analysis of blood-perfusion EPI MRI series is proposed in this article. A similarity mapping method is used to analyze blood-perfusion EPI MRI series, and a watershed method with specific preprocessing is included to do the segmentation. A segmentation result of this method to a patient is shown and compared with the result of the surgery.
  • Keywords
    biomedical MRI; image segmentation; image sequences; medical image processing; tumours; MRI series; blood-perfusion EPI series; osteosarcoma segmentation; similarity mapping; tumor; watershed method; Blood; Bone diseases; Computer science; High-resolution imaging; Hospitals; Image segmentation; Magnetic resonance imaging; Neoplasms; Orthopedic surgery; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
  • Print_ISBN
    0-7803-8647-7
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2004.1346338
  • Filename
    1346338