Abstract: Methods and systems are provided for automatically adjusting parts of a patient's body relative to a CT scanner to optimize image collection and work flow during a CT scan. In one example approach, a method comprises acquiring image data of a patient on an X-ray imaging system patient support surface; performing an adjustment calculation based on the image data; and adjusting a head holder attached to the patient support surface based on the adjustment calculation, wherein the head holder is adjusted using a motor attached to the head holder.

Abstract: Various methods and systems are provided for an x-ray imaging system. In one example, a method for the system includes, responsive to operation of the x-ray imaging system in an automated mode, generating a difference image from a first image and a second image. The difference image is displayed at a display device to allow motion outside of a region of interest (ROI) to be detected based on analysis of the difference image. Further, the difference image is displayed before a contrast agent reaches the ROI.

Abstract: An imaging system and method for using the imaging system are described. In one example, a method of creating representative position information of a patient during a medical imaging scan is provided. The method includes, prior to performing a medical imaging scan, performing initial LiDAR data acquisition to obtain baseline LiDAR data, performing segmentation of the baseline LiDAR data, wherein the baseline LiDAR data includes a three-dimensional (3D) point cloud model, performing continuous LiDAR data acquisition to obtain continuous LiDAR data, which includes a real-time 3D point cloud model, and comparing the baseline LiDAR data with the continuous LiDAR data to detect motion of a patient.

Abstract: In one embodiment, a method of obtaining a computed tomography scan of a region of interest includes determining a region of interest. The region of interest is a portion of an object being scanned. The method also includes selectin an appropriate static filter of a pre-patient collimator from a plurality of pre-patient collimators and positioning the selected static filter of the pre-patient collimator in a path of an x-ray beam. The method may also include adjusting a table of the CT system to position the region of interest in the path of the region of interest.

Abstract: An imaging system and method for using the imaging system are described. In one example, a method of A method of identifying movement of a patient during a medical imaging scan includes initiating motion detection data acquisition, initiating a medical imaging scan of the patient to acquire scan data, determining a motion score curve for duration of the medical imaging scan based on the motion detection data, removing portions of the scan data corresponding to a motion score curve outside of an acceptable range, and selecting the scan data corresponding to a motion score curve within the acceptable range for reconstruction.

Abstract: Methods and systems are provided for identifying motion in medical images. In one example, a method includes obtaining projection data of an imaging subject, reconstructing a first image of a location of the imaging subject from the projection data using a first reconstruction technique and reconstructing a second image corresponding to the same location of the imaging subject from the of projection data using a second reconstruction technique, different than the first reconstruction technique in terms of temporal sensitivity, calculating an inconsistency metric quantifying temporal inconsistencies between the first image and the second image, and taking an action based on the inconsistency metric.

Abstract: Various methods and systems are provided for an x-ray imaging system. In one example, a method for the system includes, responsive to operation of the x-ray imaging system in an automated mode, generating a difference image from a first image and a second image. The difference image is displayed at a display device to allow motion outside of a region of interest (ROI) to be detected based on analysis of the difference image. Further, the difference image is displayed before a contrast agent reaches the ROI.

Abstract: An imaging system and method for using the imaging system are described. In one example, a method of creating representative position information of a patient during a medical imaging scan is provided. The method includes, prior to performing a medical imaging scan, performing initial LiDAR data acquisition to obtain baseline LiDAR data, performing segmentation of the baseline LiDAR data, wherein the baseline LiDAR data includes a three-dimensional (3D) point cloud model, performing continuous LiDAR data acquisition to obtain continuous LiDAR data, which includes a real-time 3D point cloud model, and comparing the baseline LiDAR data with the continuous LiDAR data to detect motion of a patient.

Abstract: The current disclosure provides methods and systems to reduce an amount of noise in image data. In one example, a method for creating synthetic computed tomography (CT) images for training a model to reduce an amount of noise in acquired CT images is proposed, comprising performing a tissue segmentation of reference images of an anatomical region of a subject to determine a set of different tissue types of the reference images; and generating synthetic CT images of the reference images by assigning CT image values of the synthetic CT images based on the different tissue types.