The aim of this work is to quantify the errors introduced at differ-ent levels of applying results planned using a computer integrated surgery system in the operating room, and to make use of these er-rors to adapt the transfer and rethink the planning. In particular, we address the registration between preoperative imaging and the intraoperative patient model, as well as between the patient and the robot. Two different registration methods are used and their accura-cies compared. Moreover, augmented reality trials are conducted to assess the difficulty of adapting preoperative data to intraoperative models in order to deliver useful information to the surgeon during the intervention. The experimental work in this paper is conducted on a dog for a coronary bypass intervention using the da VinciTM surgical system. KEY WORDS—teleoperated surgery, transfer in the operat-ing room, precision, surgical planning, cardionavigation, in-tegrated approach, in vivo validatio
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