Abstract: Disclosed are various embodiments for assessing machine trajectories for collision avoidance. A three-dimensional model of a patient based at least in part on data received from a three-dimensional imaging device is generated. The three-dimensional model of the patient is aligned with a coordinate system of a three-dimensional model of a radiation treatment machine. It is then determined whether a collision between the patient and the radiation treatment machine will occur at each one of a series of control points of the radiation treatment plan.

Abstract: Disclosed are various embodiments for predicting and avoiding collisions during radiotherapy. A depth map produced by at least one three-dimensional camera is obtained by a computing device. The computing device identifies a plurality of objects in the depth map, wherein the plurality of objects comprise a radiation therapy machine and a patient. The computing device generates a corresponding three-dimensional model for each one of the plurality of objects. The computing device then determines whether the corresponding three-dimensional model for each one of the plurality objects overlaps with another corresponding three-dimensional model for another one of the plurality objects.

Abstract: Disclosed are various embodiments for assessing machine trajectories for collision avoidance. A three-dimensional model of a patient based at least in part on data received from a three-dimensional imaging device is generated. The three-dimensional model of the patient is aligned with a coordinate system of a three-dimensional model of a radiation treatment machine. It is then determined whether a collision between the patient and the radiation treatment machine will occur at each one of a series of control points of the radiation treatment plan.