title: Identification of milling parameters for manual cutting of bicortical bone structures.
abstract: Within the framework of the development of a new neurosurgical robot system, parameters of conventional manual neurosurgical bone milling had to be determined. These results were used as a reference for the design and validation of the robotic versus manual milling task. Bovine scapulae were used for the tests because their bicortical structure is similar to the bone structure of the skull. The exercise was to cut defined geometries that had been registered on the bone prior to the start of the milling operation. The geometries had to be milled with a depth of 3 mm, which corresponded to the radius of the ball of the cutter. Different parameters like tool position, rotary speed, temperature, forces and time were registered. Eleven experienced neurosurgeons with practical experience of 80-1200 skull operations participated in this study. First results show a large variation in depth along the line. The lateral deviation was up to 5 mm, the depth error up to 2.5 mm, the tool temperature was 22 degrees C to 65 degrees C, and rotary speed varied from 15,000 to 80,000 rpm. Registered forces had maxima of 16 N in the feed direction and 21 N normal to the surface; average forces were approximately 1-2 N.
authors.affiliation: Institute for Biomedical Technologies, RWTH-Aachen, Germany. bast@hia.rwth-aachen.de
authors.forename: P
authors.initials: P
authors.lastname: Bast
authors.forename: M
authors.initials: M
authors.lastname: Engelhardt
authors.forename: W
authors.initials: W
authors.lastname: Lauer
authors.forename: K
authors.initials: K
authors.lastname: Schmieder
authors.forename: V
authors.initials: V
authors.lastname: Rohde
authors.forename: K
authors.initials: K
authors.lastname: Radermacher
mesh_terms: D000818:Animals; D002417:Cattle; D003399:Craniotomy / Q000295:instrumentation* / Q000379:methods; D006801:Humans; D012016:Reference Values; D012371:Robotics; D012540:Scapula / Q000601:surgery*; D025321:Surgery, Computer-Assisted