Patient movement is tracked and settings of a component of a radiation image recording system are adjusted so that the same relative position of the patient and the component is retained.

A spatial change of a body part of an operator of a radiation image recording system is tracked and measured and setting(s) of the radiation image recording system are adjusted by an amount proportional or equal to the measured spatial change.

A method is for providing a medical image of a patient, acquired via a computed tomography apparatus. An embodiment of the method includes acquiring first projection data of a first measurement region; acquiring second projection data of a second measurement region; registering a reference image to the at least one respiration-correlated image of the patient, wherein the reference image corresponds to the at least one functional image of the patient or is reconstructed under a second reconstruction rule from the second projection data, to produce a deformation model; applying the deformation model to the at least one functional image of the patient; combining the at least one functional image of the patient, deformed by the applying of the deformation model, with the at least one respiration-correlated image of the patient, to produce the medical image of the patient; and providing the medical image of the patient.

A method includes obtaining a signal that includes a plurality of cycles and generating a map that maps motion phases to the signal based on both an amplitude and a slope of the signal. A system includes a processor that identifies a set of motion signal timestamps, for a plurality of motion cycles in a motion signal indicative of cyclic motion of a moving object, based on a predetermined motion phase of interest and a phase-to-amplitude/slope mapping, wherein the set of motion signal timestamps correspond to a common signal amplitude. A method include identifying a peak of a plurality of peaks in a motion cycle of a noisy cyclic signal having irregular periodicity, wherein the peak corresponds to a point lying between two points with amplitudes below a predetermined threshold, comparing points before and after the peak with the peak, and identifying the peak as a local maximum when the peak is greater than the points.

The present teaching relates to surgical procedure assistance. In one example, a first image of an organ having a lesion is obtained prior to a surgical procedure. Information related to a pose of a surgical instrument at a first location with respect to the lesion is received from a sensor coupled with the surgical instrument. A visual environment having the lesion and the surgical instrument rendered therein is generated based on the first image and the information received from the sensor. A second image of the organ is obtained when the surgical instrument is moved to a second location with respect to the lesion during the surgical procedure. The second image captures the lesion and the surgical instrument. The pose of the surgical instrument and the lesion rendered in the visual environment are adjusted based, at least in part, on the second image.

The technology relates to a methods and systems for improving medical imaging procedures. An example method includes receiving a first set of quality metrics for a plurality of medical images acquired at a first imaging facility; receiving a second set of quality metrics for a second plurality of medical images acquired at a second imaging facility; comparing the first set of quality metrics to the second set of quality metrics; based on the comparison of the first set of quality metrics to the second set of quality metrics, generating a benchmark for at least one metric in the first set of quality metrics and the second set of quality metrics; generating facility data based on the generated benchmark and the first set of quality metrics; and sending the facility data to the first imaging facility.

A method comprising: receiving a radiographic image dataset representing a sequential radiographic scan of a region of a human subject; receiving three-dimensional (3D) image data representing an optical scan of a surface of said region, wherein said 3D image data is performed simultaneously with said sequential radiographic scan; estimating a time-dependent motion of said subject during said acquisition, relative to a specified position, based, at least in part, on said 3D image data; and using said estimating to determine corrections for said radiographic image dataset, based, at least in part, on a known transformation between corresponding coordinate systems of said radiographic image dataset and said 3D image data.

A technology is provided for enabling accurate understanding of a movement of a region that affects imaging, particularly, processing corresponding to a sudden or non-steady movement. A body movement information processing device receives a signal from a measuring device that measures movement information of a subject disposed in an imaging device, and processes the movement information of the subject. Therefore, the body movement of the subject is calculated using the signal from the measuring device. In that case, a calculation technique of discriminating between a periodic movement and a non-steady movement of the subject is used. The non-steady movement of the subject is extracted from the calculated body movement by using a mask for selecting a spatial region of a movement of the subject.

Systems and methods for obtaining images are described. A method may include detecting a patient residing on a table proximate the system and detecting one or more artifact areas within an anatomical scan range of the patient. In some examples, the method can include generating an artifact area indicator for the system to display, wherein the artifact area indicator comprises data indicating a location for each of the one or more artifact areas that reside within the anatomical scan range of the patient.

A dynamic state imaging system includes a hardware processor that acquires period information on a period of a subject's dynamic state having periodicity, and controls a radiation imaging apparatus to acquire dynamic state images of a plurality of periods by assigning a same phase as an imaging start timing for each period of the subject's dynamic state, based on the period information, and performing imaging at predetermined time intervals from the imaging start timing for each period.