A new method to extend applicable area of minimally invasive neurosurgery by brain retract manipulator

Jun Okamoto, Mitsuhisa Iida, Kazuya Nambu, Masakatsu G. Fujie, Mitsuo Umezu, Hiroshi Iseki

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    To extend applicable area of minimally invasive neurosurgery, multi-DOF brain retract manipulator is developed. By inserting this manipulator deeper into the brain as an conductor and then other micromanipulator afterwards, it will be possible to realize new minimally invasive neurosurgery. The brain retract manipulator system is controlled by new safety method with brain retraction pressure monitoring system, Tendon-driven unit which controls lock or free status of each joint of multi-joint spatula, Passive-hybrid control system that assure the system a suitable safety. In evaluation test with a hog, insertion of the multi-joint spatula as deep as the cerebral base was realized, and the possibility of securing the space between the temporal lobe and the cerebral base is verified.

    Original languageEnglish
    Pages (from-to)190-197
    Number of pages8
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2878
    Publication statusPublished - 2003

    Fingerprint

    Neurosurgery
    Retract
    Manipulator
    Manipulators
    Brain
    Joints
    Safety
    Micromanipulators
    Passive Control
    Hybrid Control
    Retraction
    Tendons
    Temporal Lobe
    Monitoring System
    Conductor
    Hybrid Systems
    Insertion
    Control System
    Control systems
    Pressure

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science
    • Computer Science (miscellaneous)
    • Engineering(all)

    Cite this

    A new method to extend applicable area of minimally invasive neurosurgery by brain retract manipulator. / Okamoto, Jun; Iida, Mitsuhisa; Nambu, Kazuya; Fujie, Masakatsu G.; Umezu, Mitsuo; Iseki, Hiroshi.

    In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2878, 2003, p. 190-197.

    Research output: Contribution to journalArticle

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