A computed tomographic (CT) system includes a gantry having a rotating part including a light source, a light source drive control circuit, a rechargeable battery, and a rotating part interface. The gantry includes a detector, a detector control and signal processing circuit, and an image memory. The rotating part may rotate around a central axis. The CT system includes a gantry table on which the gantry is mounted and which includes a host interface. The CT system includes a motor that may cause the gantry to move within a gantry moving range, and a control unit that may process and display image data obtained from the gantry. The rotating part interface may face the host interface, such that the rotating part and host interfaces are configured to be electrically connected with each other, based on the gantry being at a predetermined position within the gantry moving range.

A radiation imaging system comprises: an obtainment unit configured to obtain an image captured by radiation imaging; an image processing unit configured to generate a radiation image by applying image processing to the captured image; a display control unit configured to display, on a display unit, the radiation image with the image processing applied thereto; and a control unit configured to determine, based on an operation input, whether confirmation of the radiation image displayed on the display unit is complete.

A contrast-enhanced digital tomosynthesis system with a source configured to emit penetrating particles toward an object, a detector configured to acquire a series of projection images of the object in response to the penetrating particles from the source, a positioning apparatus configured to position the source relative to the object and the detector, and an imaging system coupled to the source, the detector, and the positioning apparatus. The imaging system is configured to control the positioning apparatus to position the source and detector relative to the object, control the source and the detector to acquire the series of projection images, and construct a tomographic volume capable of exhibiting super-resolution morphology and contrast-enhancement arising from injection of an exogenous contrast agent from data representing the acquired series of projection images or a subset thereof.

Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

A method for evaluating one or more diagnostic linages of a patient obtained in different examination sessions and evaluating the diagnostic images using trained machine learning logic to generate prognosis and treatment information related to a medical condition of the patient detected during the evaluation. The prognosis-related information is recorded and displayed.

An apparatus (1) for providing image quality feedback during a medical imaging examination includes at least one electronic processor (20) programmed to: receive a live video feed (17) of a display (6) of an imaging device controller (4) of an imaging device (2) performing the medical imaging examination; extract a preview image (12) from the live video feed; perform an image analysis (38) on the extracted preview image to determine whether the extracted preview image satisfies an alert criterion; and output an alert (30) when the extracted preview image satisfies the alert criterion as determined by the image analysis.

A robotic catheter procedure system includes a bedside system and a workstation. The bedside system includes an actuating mechanism configured to engage and to impart movement to a percutaneous device. The workstation includes a user interface and a control system configured to be operatively coupled to the user interface, the bedside system, and a medical imaging system. The control system is responsive to a first input and to a second input, and the user interface receives the second input from a user. The control system is configured to generate a first control signal to the medical imaging system based on the first input, and the medical imaging system captures at least one image in response to the first control signal. The control system is configured to generate a second control signal to the actuating mechanism based on the second input, and the actuating mechanism causes movement of the percutaneous device in response to the second control signal. The first input is indicative of upcoming percutaneous device movement.

Methods are provided for dynamically visualizing information in image data of an object of interest of a patient, which include an offline phase and an online phase. In the offline phase, first image data of the object of interest acquired with a contrast agent is obtained with an interventional device is present in the first image data. The first image data is used to generate a plurality of roadmaps of the object of interest. A plurality of reference locations of the device in the first image data is determined, wherein the plurality of reference locations correspond to the plurality of roadmaps. In the online phase, live image data of the object of interest acquired without a contrast agent is obtained with the device present in the live image data, and a roadmap is selected from the plurality of roadmaps. A location of the device in the live image data is determined. The reference location of the device corresponding to the selected roadmap and the location of the device in the live image data is used to transform the selected roadmap to generate a dynamic roadmap of the object of interest. A visual representation of the dynamic roadmap is overlaid on the live image data for display. In embodiments, the first image data of the offline phase covers different of phases of the cardiac cycle of the patient, and the plurality of roadmaps generated in the offline phase covers the different phases of the patient's cardiac cycle. Related systems and program storage devices are also described and claimed.

An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject, includes at least one processor. The processor executes a determination process of determining a necessity of and a reason for recapturing an acquired new radiation image by using a trained model that has learned a relationship between a radiation image acquired in the past and the necessity of and the reason for reimaging, a corrective measure derivation process of, in a case where it is determined that reimaging is necessary, deriving a corrective measure for correcting a position or an orientation of the subject on the basis of the reason for determining that reimaging is necessary, and a presentation process of presenting the corrective measure derived in the corrective measure derivation process.

An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject, and includes an optical camera that outputs an optical image by optically imaging a region including an irradiation field of the radiation applied to the subject from the radiation source, and at least one processor, in which the processor executes a determination process of determining a possibility of reimaging in a case where radiography is performed on the basis of the optical image acquired by the optical camera before start of the radiography by using a trained model that has learned a relationship between the optical image captured during the radiography and a necessity of recapturing the radiation image that is captured during the radiography.