• DocumentCode
    3282544
  • Title

    Using Kalman Filter with Morphological Image Operation Tracking a Moving Target in Radiotherapy

  • Author

    Jen-Hong Lan ; Wang, Luke K. ; Ssu-Wei Chen ; Shih-Yao Lin ; Tsair-Fwu Lee

  • Author_Institution
    Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    219
  • Lastpage
    222
  • Abstract
    Kalman filter using an operator formulation for a moving object in a sequence of images during the radiotherapy for tracking respiratory subject is presented. the algorithm of position processing with a high-accuracy position estimation technique produced real-time and fast position calculations. the position of a few pixels of the moving object because of position was measured successfully. the results suggest that quantitative assessments of the moving marker should be possible with Kalman filter.
  • Keywords
    Kalman filters; medical image processing; object tracking; pose estimation; radiation therapy; Kalman filter; high-accuracy position estimation technique; image sequence; morphological image operation tracking; moving object; moving target; position processing; radiotherapy; Colored noise; Image color analysis; Kalman filters; Mathematical model; Real-time systems; Streaming media; Target tracking; Kalman filter; object tracking; radiotherapy; respiration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.149
  • Filename
    6457135