A medical examination system causes a display unit to display an object for shifting to examination processing together with patient information corresponding to identification information of a patient received by a receiving unit if the patient information of the patient is input via an operation unit when the receiving unit receives the identification information of the patient from an external device. The medical examination system shifts to the examination processing without causing the display unit to display the object if the patient information is not input via the operation unit when the receiving unit receives the patient information.

A device for optimizing an image acquisition device (12) includes at least one electronic processor (20) operatively connected to read a machine log (30) of the image acquisition device. A non-transitory computer readable medium (26) stores instructions readable and executable by the at least one electronic processor to perform an image acquisition method (100). The method includes: extracting logged parameters of the image acquisition device from the machine log of the image acquisition device; identifying one or more out-of-range parameters of the image acquisition device from the logged parameters extracted from the machine log of the image acquisition device; automatically tuning one or more electrical or mechanical settings of the image acquisition device on the basis of the one or more out-of-range parameters to transform the image acquisition device into a tuned image acquisition device; and controlling the tuned image acquisition device to acquire one or more images of a patient.

Proposed is a medical imaging system including: a C-arm including an X-ray source and a detector; a first plate installed on an X-ray path between the X-ray source and the detector, and including a first transmissive surface provided with a plurality of first ball markers blocking an X-ray, and a first optical marker; a second plate installed on the X-ray path between the X-ray source and the detector, and including a second transmissive surface provided with a plurality of second ball markers blocking the X-ray, and a second optical marker; a reference optical marker configured to provide a 3D reference coordinate system; an optical tracking device configured to recognize locations of the first and second optical markers and the reference optical marker; and a matcher configured to calculate a matching relationship between coordinates on a 3D reference coordinate system and locations on first and second captured images.

A method and apparatus is disclosed, which improves the analysis of an object within a scanned bag. Specifically, the techniques disclosed herein overcome the problem of measurement errors due to imaging artifacts, which can occur during imaging examinations like CT scans. This process also discloses a method of using an improved accuracy of data units of an object lead to more accurate classification of the material that makes up the object.

A method for immersively displaying a scanned environment of a region to a set of users in a training environment wearing augmented reality head display units. The training environment includes a pseudo-GPS system, which allows position tracking over time. This enables rehearsing military operations before they occur.

Described here are systems and methods for generating quantitative flow mapping from medical flow data (e.g., medical images, patient-specific computational flow models, particle image velocimetry data, in vitro flow phantom) over a virtual volume representative of a catheter or other medical device. As such, quantitative flow mapping is provided with reduced computational burdens. Quantitative flow maps can also be generated and displayed in a manner that is similar to catheter-based or other medical device-based mapping, without requiring an interventional procedure to place the catheter or medical device.

During catheter-based angiography, the bone and soft tissues degrade visualization of the vasculature, which is of primary interest in such medical imaging procedures. The present disclosure includes systems and methods utilizing a trained neural network to remove the bone and soft tissue densities from post-contrast images, revealing isolated vascular densities, without the need for a standard pre-injection digital mask and in the setting of patient motion. The final angiographic images may be created in real-time. Systems and methods for the training and optimization of the disclosed neural network are also described.

A re-imaging determination support device including a hardware processor that: judges a first misalignment of a predetermined region in a radiographic image; judges a second misalignment of a predetermined region in the radiographic image; and outputs re-imaging determination support information that supports determining whether or not to perform re-imaging for the radiographic image, based on at least a judgement of the first misalignment and a judgement of the second misalignment.

The present disclosure directs to a system and method for CT imaging. The method may include acquiring computed tomography (CT) data, wherein the CT data is generated by scanning a subject using a CT scanner, the CT scanner including a focal spot and a detector, and the detector including a plurality of detector units. The method may also include obtaining a forward projection model and a back projection model, wherein the forward projection model and the back projection model are associated with sizes of the detector units and a size of the focal spot of the CT scanner. The method may further include reconstructing a CT image of the subject iteratively based on the CT data, the forward projection model, and the back projection model.

An image acquisition unit acquires a radiographic image set including a plurality of radiographic images, which have been generated by alternately irradiating a subject with radiation emitted from a plurality of radiation sources provided at different positions and alternately detecting the radiation transmitted through the subject using one detection unit, at a predetermined time interval. A feature point detection unit detects at least one common feature point in the subject from each of the plurality of radiographic images included in the radiographic image set. A positional information derivation unit derives three-dimensional positional information of the at least one feature point in the subject using a positional relationship between a position of the at least one feature point detected from each of the plurality of radiographic images on a detection surface of the detection unit and positions of the plurality of radiation sources.