TY - JOUR
T1 - A new method to extend applicable area of minimally invasive neurosurgery by brain retract manipulator
AU - Okamoto, Jun
AU - Iida, Mitsuhisa
AU - Nambu, Kazuya
AU - Fujie, Masakatsu G.
AU - Umezu, Mitsuo
AU - Iseki, Hiroshi
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-540-39899-8_24
DO - 10.1007/978-3-540-39899-8_24
M3 - Article
AN - SCOPUS:0345255051
VL - 2878
SP - 190
EP - 197
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -