• DocumentCode
    1437918
  • Title

    Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System

  • Author

    Kobayashi, Yo ; Suzuki, Makiko ; Kato, Atsushi ; Hatano, Maya ; Konishi, Kozo ; Hashizume, Makoto ; Fujie, Masakatsu G.

  • Author_Institution
    Fac. of Sci. & Eng., Waseda Univ., Tokyo, Japan
  • Volume
    28
  • Issue
    3
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    710
  • Lastpage
    722
  • Abstract
    The use of minimally invasive procedures for breast tumor diagnosis and treatment, such as needle biopsy and radiofrequency ablation (RFA), is steadily increasing. Accurate needle insertion requires solving the problems of tissue deformation and target displacement. In this study, we developed a robotic needle insertion method to improve the precision of diagnostic biopsy and RFA treatment. The mechanical probe was designed to reduce tissue displacement by pressing the breast tissue before needle insertion: a technique that is known as preloading. We focused on the needle insertion phase and evaluated the insertion accuracy achieved. Using a numerical simulation model and an actual hog breast, we compared tissue preloaded needle insertion with normal needle insertion. The data obtained with both test systems showed that targeting errors were greatly reduced using preloading-based needle insertion, as compared with normal needle insertion. The procedure is expected to offer a safe and effective alternative to the traditional methods of needle insertion for breast tissue biopsy or RFA. Our study also revealed the relationship between insertion accuracy and preloading probe force.
  • Keywords
    biological tissues; human-robot interaction; medical robotics; numerical analysis; patient diagnosis; radiofrequency heating; surgery; tumours; RFA treatment improvement; breast tissue; breast tissue biopsy; breast tumor diagnosis; breast tumor treatment; diagnostic biopsy precision improvement; mechanical probe; minimally invasive procedures; needle biopsy; normal needle insertion; numerical simulation model; radiofrequency ablation; robotic tissue preloading-based needle insertion system; target displacement problem; tissue deformation problem; tissue displacement reduction; Breast tissue; Force; Needles; Numerical models; Probes; Strain; Force control; medical robots and systems; physical human–robot interaction; smart actuators;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2012.2183055
  • Filename
    6144750