• DocumentCode
    2085684
  • Title

    Automatic Extraction Method of Bone Tunnel of the Anterior Cruciate Ligament from Multi Detector Row Computed Tomography Data

  • Author

    Nagamune, K. ; Nishimoto, K. ; Hoshino, Y. ; Mizuno, K. ; Kuroda, R. ; Hata, Y. ; Kurosaka, M.

  • Author_Institution
    Kobe Univ., Kobe
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    503
  • Lastpage
    506
  • Abstract
    The anterior cruciate ligament (ACL) plays very important role of rotational stability of the knee function. To recover the rotational stability of the ACL injured knee, double bundle technique has been developed which drills two bone tunnels in the femur and tibia, and connects the femur with the tibia by using double bundle graft. However the double bundle technique can cause bone tunnel enlargement which results in instability of the knee. The goal of this study is to examine shape of the bone tunnel enlargement from multi detector row computed tomography (MDCT) data. The proposed method was applied MDCT data of two patients who were performed ACL reconstruction. As a result, our proposed method could extract region of the bone tunnels from MDCT data, and calculate volume of the bone tunnels quantitatively. It reminds as a future work to confirm direction of the bone enlargement.
  • Keywords
    bone; computerised tomography; orthopaedics; anterior cruciate ligament; automatic extraction method; bone tunnel enlargement; double bundle technique; femur; knee rotational stability; multi detector row computed tomography data; tibia; Biomedical engineering; Bones; Computed tomography; Data mining; Data structures; Detectors; Injuries; Knee; Ligaments; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381786
  • Filename
    4381786