Abstract: The X-ray imaging system according to the present embodiment includes an X-ray tube, a holding assembly, a flying object, an X-ray detector, and processing circuitry, The X-ray tube is configured to emit X-rays. The holding assembly is configured to hold the X-ray tube. The flying object is equipped with the holding assembly. The X-ray detector is configured to detect the X-rays emitted by the X-ray tube. The processing circuitry is configured to control a flight of the flying object, and to control the flight of the flying object such that the X-ray tube is arranged on a predetermined position with respect to the X-ray detector.

Abstract: Systems and methods are provided for generating training data for training a neural network. The neural network may be a machine learning model. The neural network may be a U-Net neural network. Training data for training a neural network may be generated by combining X-ray image data and non-X-ray image data. Training data for training a neural network may be generated by superimposing data having a characteristic related to a lesion onto X-ray image data. The superimposed data may be used to simulate calcification features in mammographic images. Processing circuitry is configured to perform noise reduction by inputting an input image of a breast into a trained machine-learning model to output an output image in which noise included in the input image is reduced in the output image while leaving a characteristic of a lesion included in the input image undeleted in the output image.

Abstract: According to one embodiment, a mammography apparatus includes processing circuitry. The processing circuitry is configured to acquire, as information on preliminary X-ray imaging for a breast of a subject, first information including at least one of an imaging condition, breast state information indicating a state of the breast, and/or information on the subject. The processing circuitry is configured to calculate an index for the breast based on the first information.

Abstract: A system and method is provided for controlling an acquisition system to obtain, based on a currently acquired set of projection data, a next set of projection data that is to be acquired using a set of learned imaging conditions. The set of learned imaging conditions are, at least in part, based on training data including projection data and dose information. In one embodiment, the initial dose and angle for obtaining the initial set of projection data are chosen at random. In another embodiment, the initial dose and angle for obtaining the initial set of projection data are chosen based on a test scan and a trained neural network for outputting the initial dose and angle using a loss function.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes an imaging apparatus and a processor. The imaging apparatus includes an X-ray tube configured to generate an X ray; and an X-ray detector configured to detect an X ray that has been emitted from the X-ray tube and passed through a subject. The processor obtains an examination protocol including an imaging condition corresponding to contents of an examination for the subject, obtains a camera image in which the subject has been captured, and determines whether at least one examination item corresponding to the examination protocol is executable based on first geometric information and second geometric information, the first geometric information including a geometric positional relation between the subject and the imaging apparatus associated with the examination protocol, and the second geometric information including a geometric positional relation between the subject and the imaging apparatus detected based on the camera image.

Abstract: A radiation imaging apparatus includes: an image obtaining unit configured to obtain image data corresponding to incident radiation; and an image processing unit configured to perform first bone density measurement based on image data obtained by the image obtaining unit with a first exposure field and perform second bone density measurement based on image data obtained by the image obtaining unit with a second exposure field narrower than the first exposure field.

Abstract: An X-ray diagnosis apparatus according to the present embodiment comprises: an imager configured to image by irradiating X-ray to a subject to acquire a captured image by X-ray imaging and a fluoroscopic image by fluoroscope imaging; and processing circuitry configured to acquire imaging related information obtained within a certain period of time before or after the X-ray imaging, and store in a memory the fluoroscopic image captured at least one of before or after the X-ray imaging based on the imaging related information.

Abstract: A medical image processing apparatus comprising: a setting unit configured to set a plurality of candidate regions on a medical image as candidates of a region of interest to be set on the medical image; an analysis unit configured to execute quantitative analysis concerning a composition of an object for each of the plurality of candidate regions; and an output unit configured to output a plurality of analysis results and the plurality of candidate regions in association with each other.

Abstract: An X-ray diagnosis apparatus according to the present embodiment comprises: an X-ray irradiator configured to irradiate X-rays; an imager configured to image an identifier that identifies a position of an X-ray detector which detects X-rays; and processing circuitry configured to calculate, based on the identifier shown on an image imaged by the imager, a relative position of the X-ray irradiator regarding the X-ray detector and an irradiation position of the X-ray irradiator where a corresponding relative position meets a predetermined X-ray imaging condition; and output, based on the relative position and the irradiation position, a movement information of the X-ray irradiator.

Abstract: An x-ray diagnostic apparatus according to an embodiment includes a radiographic unit, a movable unit, and processing circuitry. The radiographic unit performs radiography. The movable unit is provided in the radiographic unit and is movable to plural positions. The processing circuitry moves the movable unit to a position where the movable unit and a disinfection apparatus that performs disinfection have a predetermined positional relation to each other.

Abstract: According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to acquire a two-dimensional first X-ray image based on X-ray imaging using a first continuous X-ray spectrum, and acquire a two-dimensional second X-ray image based on X-ray imaging using a second continuous X-ray spectrum different from the first continuous X-ray spectrum. Further, the processing circuitry is configured to generate a two-dimensional virtual third X-ray image that simulates an X-ray image using a third continuous X-ray spectrum different from the first continuous X-ray spectrum and the second continuous X-ray spectrum, based on the first X-ray image and the second X-ray image.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to improve quality of fourth data corresponding to a fourth number of views that is smaller than a first number of views by inputting the fourth data to a learned model generated by performing machine learning with second data corresponding to a second number of views as input learning data, and third data corresponding to a third number of views that is larger than the second number of views as output learning data, the second data and the third data being acquired based on first data corresponding to the first number of views. The fourth data is data acquired by tomosynthesis imaging.

Abstract: A bone information acquisition apparatus comprises: an X-ray image acquisition unit configured to acquire an X-ray image with a subject; an identifying unit configured to identify a mounted state of a grid that removes scattered rays; and a bone information acquisition unit configured to acquire bone information that evaluates a state of a bone of the subject included in the X-ray image in accordance with the mounted state of the grid.

Abstract: An X-ray image processing apparatus comprising: a first obtaining unit configured to obtain a first X-ray image including an object; a second obtaining unit configured to obtain a first measured value associated with an X-ray condition of the first X-ray image, a second X-ray image that does not include the object, and a second measured value associated with an X-ray condition of the second X-ray image; a gain correction unit configured to correct the first X-ray image based on the first measured value, the second X-ray image, and the second measured value; and an image generation unit configured to generate an evaluation image for evaluating a state of the object based on a corrected image that is the first X-ray image corrected by the gain correction unit.

Abstract: An X-ray diagnosis apparatus controls to display information based on an error in an index value evaluating a state of a bone of an object based on at least one of a captured image of the object and an imaging condition which correspond to X-rays with two different types of energies.

Abstract: The problem to be solved is to utilize an analysis result of a medical image that uses post-processing function to achieve a higher diagnosis accuracy. The medical image processing apparatus according to the present embodiment includes an acquirer that acquires a first medical image information which is a result of an external processing performed on a second medical information including a medical image, a receiver that receives a selected action for the first medical image information, and a register that associates and registers an action information about the selected action for the first medical image information with the first medical image information.

Abstract: An X-ray image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires fluoroscopy-related information indicating at least one of a fluoroscopic image and a condition for collecting the fluoroscopic image. The processing circuitry evaluates the image quality of the fluoroscopic image based on the fluoroscopy-related information. The processing circuitry outputs identification information identifying whether to save the fluoroscopic image based on the evaluation result.

Abstract: An X-ray diagnosis apparatus according to an embodiment includes processing circuitry configured: to acquire a two-dimensional X-ray image of an examined subject imaged in a first imaging process; to designate at least one track on which an X-ray generator is to move in a second imaging process to be performed after the first imaging process; and to perform a predicting process of predicting, on the basis of the two-dimensional X-ray image and the track, an artifact that is to occur when the second imaging process is performed by using the track.

Abstract: The X-ray imaging system according to the present embodiment includes an X-ray tube, a holding assembly, a flying object, an X-ray detector, and processing circuitry, The X-ray tube is configured to emit X-rays. The holding assembly is configured to hold the X-ray tube. The flying object is equipped with the holding assembly. The X-ray detector is configured to detect the X-rays emitted by the X-ray tube. The processing circuitry is configured to control a flight of the flying object, and to control the flight of the flying object such that the X-ray tube is arranged on a predetermined position with respect to the X-ray detector.

Abstract: An image processing apparatus for determining a radiation field of radiation from a radiation image comprises: a prediction unit that predicts, based on prior information, a degree that each position of the radiation image becomes a predetermined portion of the radiation field and generating a prediction result representing a distribution of the predicted degrees; an analysis unit that analyzes the radiation image to determines the degree that each position of the radiation image becomes the predetermined portion of the radiation field and generating an analysis result representing the distribution of the predicted degrees; and a recognition unit that decides the predetermined portion of the radiation field based on a combining result obtained by combining the prediction result and the analysis result.