ResearchResearch Projects
Roboterassistierte Chirurgie

Robot assisted surgery

Team:  Dipl.-Ing. Stephan Baron
Year:  2011
Is Finished:  yes

The topic of this project is the development of methods for minimally invasive surgical interventions at the lateral skull base. The goal is to increase the accuracy and safety of such interventions incorporating mechatronic assistance. The project is carried out in close cooperation with surgeons from the department of otolaryngology of the Hannover Medical School.
As target application, a minimally invasive opening of the inner ear during cochlear implantation is considered. Cochlear implantation is the only efficient treatment of patients with severe to profound sensorineural hearing loss or deafness. During the intervention, an electrode array is implanted into the windings of the inner ear (cochlea) and electrically stimulates the auditory nerve. This results in a hearing impression for the patient and allows them to understand spoken language or listen to music.
The surgical intervention is characterised by a high degree of complexity and required accuracy. In order to achieve the desired accuracy and improve the surgeon’s physical precision, intraoperative navigation and robotic assistance are combined in this project.

Details

High accuracy in minimally invasive surgery is achieved by combining the key technologies of electrooptical navigation, high resolution imaging and robotic assistance. Image data are acquired by means of flat panel computerised tomography and there after used to create three dimensional models of the patient’s lateral skull base. This model includes the position and orientation of the cochlea, as well as position and orientation of functionally important structures such as the facial nerve, the chorda tympani, or the auditory canal. Afterwards, the coordinates of a minimally invasive approach to the inner ear are optimised, which includes drilling a channel to the cochlea while preserving functional important structures.
In order to align the surgical drill to the preplanned coordinates, a robot is used. It is equipped with reference markers, which are tracked by a stereo-optical localizer. As the patient is equipped with markers in the same way, a pose estimation of the robot relative to the patient can take place and the drill can be driven to the desired position. With additional inertial sensors, further information about the robot’s kinematic state is derived, which improves the robustness of the pose estimation. The different types of sensor information are processed, using appropriate control algorithms, so that the drilling can take place with high accuracy.

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