Time-of-Flight sensor for patient positioning

In this paper we present a system that uses Time-of-Flight (ToF) technology to correct the position of a patient in respect to a previously acquired reference surface. A ToF sensor enables the acquisition of a 3-D surface model containing more than 25,000 points using a single sensor in real time. One advantage of this technology is that the high lateral resolution makes it possible to accurately compute translation and rotation of the patient in respect to a reference surface. We are using an Iterative Closest Point (ICP) algorithm to determine the 6 degrees of freedom (DOF) vector. Current results show that for rigid phantoms it is possible to obtain an accuracy of 2.88 mm and 0.28◦ respectively. Tests with human persons validate the robustness and stability of the proposed system. We achieve a mean registration error of 3.38 mm for human test persons. Potential applications for this system can be found within radiotherapy or multimodal image acquisition with different devices.