Abstract: A method of training a neural network is described that includes receiving an image of an anatomical portion of a subject, receiving a CAD model of a surgical implant, generating a first simulated image based on the image and the CAD model, the first simulated image depicting the surgical implant and the anatomical portion of the subject, modifying the simulated image to include simulated artifacts from metal, beam hardening, and scatter, to yield a second simulated image corresponding to the first simulated image, and providing the second simulated image to a neural network as an example input and the first simulated image to the neural network as an example output.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.

Abstract: A low-dose imaging method includes receiving a sparse image set of a portion of a patient's anatomy; up-sampling the sparse image set, in the sinogram domain and using a first neural network, to yield an up-sampled sinogram; generating, from the up-sampled sinogram, an initial reconstruction; and removing, from the initial reconstruction and using a second neural network, one or more artifacts in the initial reconstruction to yield a final output volume.

Abstract: A one-camera, binocular, video-oculography (1CBVOG) system for measuring the movement of both of the eyes of a test subject, while the head of the test subject is undergoing a period of vestibular or oculomotor stimulation, includes: (a) a base frame, (b) a binocular imaging component, including a video camera adapted to capture a sequence of images containing both of the eyes of the test subject, (c) an optical component, (d) an illumination source, (e) a sensor module that senses translational and rotational motion of the head along and about three, mutually orthogonal axes that approximately align with the axes of the inner ears' semicircular canals, and (f) a computing device configured to quantify and measure the movement of the test subject's eyes from the sequence of captured images.