• DocumentCode
    3092955
  • Title

    Modeling of conditions where a puncture occurs during needle insertion considering probability distribution

  • Author

    Kobayashi, Yo ; Onishi, Akinori ; Hoshi, Takeharu ; Kawamura, Kazuya ; Fujie, Masakatsu G.

  • Author_Institution
    Consolidated Res. Inst. for Adv. Sci. & Med. Care, Waseda Univ., Tokyo
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    1433
  • Lastpage
    1440
  • Abstract
    Needle insertion treatments require accurate placement of the needle tip into the target cancer. However, it is difficult to insert the needle into the cancer because of cancer displacement due to the organ deformation. Then, a path planning using numerical simulation to analyze the deformation of the organ and the timing of puncture is important for the accurate needle insertion. In this study, we have explained the modeling of conditions where the puncture occurs. Firstly, this paper shows needle insertion experiments for the hog liver in order to measure the needle force and displacement where the puncture occurs. According to the experimental results, significant variations in puncture force were observed. Accordingly, we proposed a novel condition of the force causing a puncture considering probability distribution. We summarized variations of the puncture force in the experimental data and represented conditions where a puncture occurs with probability distribution models where the force is random variable. In addition, the boundary conditions and liver shapes are considered by analyzing the stress status near the needle. Then, we derived the conditions of the puncture with probability distribution models where the stress is random variable.
  • Keywords
    cancer; deformation; liver; medical robotics; mobile robots; path planning; patient treatment; statistical distributions; boundary condition; hog liver; needle insertion treatment; needle tip placement; numerical simulation; organ deformation; path planning; puncture probability distribution; random variable; target cancer; Boundary conditions; Force; Liver; Needles; Probability distribution; Shape; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4650874
  • Filename
    4650874