• DocumentCode
    498289
  • Title

    Point to Point Registration Based on MRI sequences

  • Author

    Jin, Quan ; Cheng, Yuanzhi ; Guo, Changyong ; Li, Guixian ; Sato, Yoshinobu

  • Author_Institution
    Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    The purpose of this study is to develop a new method for the registration of 3D cartilage plates in the MR data set. This technique traces local cartilage thickness changes over time. In a first rough registration step, the principal axes transformation (PAX) and landmark methods are used. In the second step, an improved iterative closest point (ICP) method is used. The point sets from segmentation of MRI sequences are registratered in these processes. The experimental results demonstrate the effectiveness of this method for the registration of the MRI of knee cartilage over time based on the cartilage and bone interfaces.
  • Keywords
    biology computing; biomedical MRI; image registration; image sequences; 3D cartilage plate; MRI sequences segmentation; bone interface; iterative closest point; knee cartilage; point to point registration; principal axes transformation; Biomedical imaging; Bones; Clouds; Image sequence analysis; Intelligent systems; Iterative closest point algorithm; Joints; Knee; Magnetic resonance imaging; Mechatronics; ICP; Landmark; MRI; registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.250
  • Filename
    5209121