Int J Comput Assist Radiol Surg - Calibration of the motor-assisted robotic stereotaxy system: MARS.

Tópicos

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Resumo

CKGROUND: The motor-assisted robotic stereotaxy system presents a compact and light-weight robotic system for stereotactic neurosurgery. Our system is designed to position probes in the human brain for various applications, for example, deep brain stimulation. It features five fully automated axes. High positioning accuracy is of utmost importance in robotic neurosurgery.METHODS: First, the key parameters of the robot's kinematics are determined using an optical tracking system. Next, the positioning errors at the center of the arc--which is equivalent to the target position in stereotactic interventions--are investigated using a set of perpendicular cameras. A modeless robot calibration method is introduced and evaluated. To conclude, the application accuracy of the robot is studied in a phantom trial.RESULTS: We identified the bending of the arc under load as the robot's main error source. A calibration algorithm was implemented to compensate for the deflection of the robot's arc. The mean error after the calibration was 0.26 mm, the 68.27th percentile was 0.32 mm, and the 95.45th was 0.50 mm.CONCLUSION: The kinematic properties of the robot were measured, and based on the results an appropriate calibration method was derived. With mean errors smaller than currently used mechanical systems, our results show that the robot's accuracy is appropriate for stereotactic interventions.

Resumo Limpo

ckground motorassist robot stereotaxi system present compact lightweight robot system stereotact neurosurgeri system design posit probe human brain various applic exampl deep brain stimul featur five fulli autom axe high posit accuraci utmost import robot neurosurgerymethod first key paramet robot kinemat determin use optic track system next posit error center arcwhich equival target posit stereotact interventionsar investig use set perpendicular camera modeless robot calibr method introduc evalu conclud applic accuraci robot studi phantom trialresult identifi bend arc load robot main error sourc calibr algorithm implement compens deflect robot arc mean error calibr mm th percentil mm th mmconclus kinemat properti robot measur base result appropri calibr method deriv mean error smaller current use mechan system result show robot accuraci appropri stereotact intervent

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