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BACKGROUND AND OBJECTIVE: The research done in the field of Augmented Reality(AR) for patient positioning in radiation therapy is scarce. We propose anefficient and cost-effective algorithm for tracking the scene and the patientto interactively assist the patient's positioning process by providing visualfeedback to the operator. Up to our knowledge, this is the first framework thatcan be employed for mobile interactive AR to guide patient positioning.METHODS: We propose a point cloud processing method that combined with afiducial marker-mapper algorithm and the generalized ICP algorithm tracks thepatient and the camera precisely and efficiently only using the CPU unit. Thealignment between the 3D reference model and body marker map is calculatedemploying an efficient body reconstruction algorithm. RESULTS: Our quantitativeevaluation shows that the proposed method achieves a translational androtational error of 4.17 mm/0.82 deg at 9 fps. Furthermore, the qualitativeresults demonstrate the usefulness of our algorithm in patient positioning ondifferent human subjects. CONCLUSION: Since our algorithm achieves a relativelyhigh frame rate and accuracy employing a regular laptop (without the usage of adedicated GPU), it is a very cost-effective AR-based patient positioningmethod. It also opens the way for other researchers by introducing a frameworkthat could be improved upon for better mobile interactive AR patientpositioning solutions in the future.

Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy