Abstract: A radiation treatment session is initiated to deliver a therapeutic radiation beam from a therapeutic radiation source to a target. One or more X-ray radiation sources are caused to deliver an imaging radiation beam from the one or more X-ray radiation sources through the target to one or more X-ray detectors to acquire imaging data associated with the target during therapeutic radiation beam delivery. One or more volumetric images are constructed using the acquired imaging data.

Abstract: A method comprises inputting a treatment planning image of a target subject into a machine learning system. The method further comprises determining, by the machine learning system, a first target-subject-specific model of the treatment planning image. The method further comprises applying, by a processing device, the first target-subject-specific model to the treatment planning image to generate a transformed treatment planning image corresponding to a first position of a plurality of positions of the target subject. The method further comprises comparing the transformed treatment planning image to a reference image. The method further comprises, based on the comparing, modifying one or more parameters of the first target-subject-specific model to generate a second target-subject-specific model corresponding to a second position of the plurality of positions.

Abstract: Checks are provided with photographs of the payee to help prevent fraud when the checks are presented for negotiation. The checks include images which are stored on the payor's data processing system using filenames which are uniquely associated with each payee. In an alternative embodiment of the invention, personal checks are prepared using commercially available check printing software in which images are “predistorted” in a manner which insures that when the checks are ultimately printed by software which “distorts” an image, the combined “predistortion” and “distortion” result in a normal image.