Conventionally, systems and methods have been provided for manual annotation of anatomical landmarks in digital radiography (DR) images. Embodiments of the present disclosure provides system and method for anatomical landmark detection and identification from DR images containing severe skeletal deformations. More specifically, motion artefacts and exposure are filtered from an input DR image to obtain a pre-processed DR image and probable/candidate anatomical landmarks comprised therein are identified. These probable candidate anatomical landmarks are assigned a score. A subset of the candidate anatomical landmarks (CALs) is selected as accurate anatomical landmarks based on comparison of the score with a pre-defined threshold performed by a trained classifier. Position of remaining CALs may be fine-tuned for classification thereof as accurate anatomical landmarks or missing anatomical landmarks. The CALs may be further fed to the system for checking misalignment of any of the CALs and correcting the misaligned CALs.

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.

When motion information of a subject during scanning is acquired from an image pair and motion-corrected image reconstruction is performed to generate a CT image, erroneous recognition and excessive smoothing of a motion component are prevented, and the accuracy of motion correction is improved. A filtering unit for reducing noise of the image pair is provided. The filtering unit acquires a relation between indicators for noise amounts acquired based on information that affects noise amounts of a first image and a second image constituting the image pair, and adjusts smoothness of each image using the relation between the indicators. The presence or absence of a motion is determined for the image pair subjected to noise reduction by filtering, normalization degrees of the two images are made different according to the presence or absence of the motion and the two images are normalized, and the magnitude and a direction of the motion are detected.

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.

The present invention, in one form, is a method for deriving respiratory gated PET image reconstruction from raw PET data. In reconstructing the respiratory gated images in accordance with the present invention, respiratory motion information derived from individual voxel signal fluctuations, is used in combination to create usable respiratory phase information. Employing this method allows the respiratory gated PET images to be reconstructed from PET data without the use of external hardware, and in a fully automated manner.

A respiratory monitoring device comprises: a light source (30) arranged to generate a projected shadow (S) of an imaging subject (P) positioned for imaging by an imaging device (8); a video camera (40) arranged to acquire video of the projected shadow; and an electronic processor (42) programmed to extract a position of an edge of the projected shadow as a function of time from the acquired video. In some embodiments, the light source is arranged to project the shadow onto a bore wall (20) of the imaging device, and the video camera is arranged to acquire video of the projected shadow on the bore wall. The electronic processor may be programmed to extract the position of the edge (E) as a one-dimensional function of time (46) based on the position of the edge in each frame of the acquired video and time stamps of the video frames.

A radiation imaging system including an imager that performs imaging of moving images by irradiating a subject with radiation, the radiation imaging system including a storage in which an imaging guide pattern for instructing a predetermined motion to the subject at a time of imaging by the imager is associated with a predetermined word that can be included in an imaging order and is stored, a hardware processor that acquires an imaging order to imaging by the imager, extracts the predetermined word from the acquired imaging order, and selects an imaging guide pattern that is associated with the extracted predetermined word from imaging guide patterns stored in the storage, and an instructor that instructs the predetermined motion to the subject, based on the selected imaging guide pattern.

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 computed tomography machine suitable for interventional procedures provides partial scans displaced about the patient away from the physician position to substantially reduce Compton scattering received by the physician. A modeling of patient dose accounting for the presence of shielding, different physician characteristics, patient positions, and probe position may be accomplished to affect a trade-off between these various factors optimized for interventional or similar procedures where a nonpatient must be close to the scanner during operation.

The present disclosure relates to systems and methods for monitoring and guiding patient motion during medical image acquisition. In accordance with certain embodiments, a method includes acquiring an image of a patient with an imaging system; determining an amount of patient movement; and providing a movement indicator based on the determined amount of patient movement.