An apparatus for gating delivery of radiation by a radiation delivery system to a patient is described. The apparatus includes at least one electrode positionable adjacent to but not touching a patient, at least one capacitance sensor electrically connected to the at least one electrode and configured to monitor a capacitance of the at least one electrode and generate an output signal indicative of the capacitance, and at least one processor configured to receive and process the output signal, determine a computed measure of amplitude and/or phase of respiration of the patient, and generate a gating signal for enabling or inhibiting delivery of radiation by the radiation delivery system based on the determined measure of amplitude and/or phase of respiration of the patient.

A positioning control system for a patient carrier comprises a camera system to acquire image information from a detection range. An analysis module configured to access the acquired image information from the detection range and compute operator-activity within the detection range from the acquired image information. The operator-activity representing a spatio-temporal pattern of activities of an operator in the detection range. From the operator activity compute a location of a target anatomy that is selected to be imaged. The location of the target anatomy that is to be imaged can be derived from the spatio-temporal activity pattern of the operator during the preparation of the patient to be examined.

To create a 3D model of part of a cardiovascular system, two 2D images taken of different orientations of the cardiovascular system may be combined. The 2D images originate from video streams taken at different points in time, which comprise frames showing a beating heart, and thus a moving cardiovascular system. Because of this movement, not just any random set of two 2D images may result in useable 3D model. To select a proper set of two 2D images, a method is provided wherein said selection is based on cardiac cycle data. The cardiac cycle data may comprise heart activity data as a function of time and timing data on cycle events. These cycle events may be repetitive, as the same events occur with every heartbeat. The selected frames are preferably selected at, or approximately at, similar events.

Methods and systems are provided for generating a diagnostic cardiac image using a CT system without ECG gating techniques. In one example, a method for an imaging system includes determining a scanning duration for scanning a heart of a patient with the imaging system based on a heart rate of the patient, scanning the patient with the imaging system for the scanning duration, the scanning commenced independent of a current phase of a cardiac cycle of the heart of the patient, and reconstructing an image from data acquired during the scanning.

A system and method is provided for controlling against artifacts in medical imaging. The system includes an array of ultrasound sensors, each ultrasound sensor in the array of ultrasound sensors located at a variety of different spatial locations on a subject being imaged by an imaging system configured to generate medical imaging data and each ultrasound sensor configured to receive ultrasound sensor data. The system also includes a processor configured to receive the ultrasound sensor data from the array of ultrasound sensors, multiplex the ultrasound sensor data, generate anatomical information from the multiplexed ultrasound sensor data and correlated to the imaging system, and deliver the anatomical information to the imaging system in a form for use by the imaging system to either acquire the imaging data using the anatomical information or reconstruct the imaging data using the anatomical information.

Provided herein are methods and systems to train and execute a motion model that uses artificial intelligence methodologies (e.g., deep-learning) to learn and predict location of a patient's internal structures. A method comprises receiving respiratory data of a patient from an electronic sensor in addition to a medical image, such as kV image; executing an artificial intelligence model using the respiratory data and predicting deformation data for at least one internal structure of the patient, wherein the artificial intelligence model is trained in accordance with a training dataset comprising a set of participants, their corresponding respiratory data, and their corresponding deformation data; and outputting the predicted deformation data.

A surgical instrument navigation system and method of use is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient, wherein the surgical instrument, as provided, may be a steerable surgical catheter with a biopsy device and/or a surgical catheter with a side-exiting medical instrument, among others. Additionally, systems, methods and devices are provided for forming a respiratory-gated point cloud of a patient's respiratory system and for placing a localization element in an organ of a patient.

A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

A method for tomographic imaging a dielectric object includes irradiating an object with electromagnetic radiation during a first time interval, receiving electromagnetic radiation passed through dielectric object to generate a first dataset at a plurality of spatial locations, irradiating the object with electromagnetic radiation during a second time interval, receiving electromagnetic radiation passed through dielectric object to generate a second dataset at a plurality of spatial locations, generating a third dataset, wherein the third dataset is determined as a function of the first dataset, the second dataset, and a normalized difference between the first dataset and the second dataset, and reconstructing a dielectric image of the object based on the third dataset.

A recording and reproduction control device includes a moving image data acquisition unit configured to acquire a first video stream from a camera which images a moving image at a predetermined frame rate, a trigger signal acquisition unit configured to acquire a trigger signal from an external device, a captured image generator configured to generate a captured image by one frame from the first video stream at a timing at which the trigger signal is acquired, a storage controller configured to sequentially record the captured images as a second video stream in a storage, a reproduction controller configured to reproduce the second video stream, and a frame interpolation unit configured to interpolate at least one frame image at the predetermined between the captured images and output the captured images and the interpolated frame images which are recorded in array as a third video stream in the storage.