Methods and systems are provided for de-noising medical images using deep neural networks. In one embodiment, a method comprises receiving a medical image acquired by an imaging system, wherein the medical image comprises colored noise; mapping the medical image to a de-noised medical image using a trained convolutional neural network (CNN); and displaying the de-noised medical image via a display device. The deep neural network may thereby reduce colored noise in the acquired noisy medical image, increasing a clarity and diagnostic quality of the image.

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.

A training method (10) and system for a collimator border detection method. The training method (10) comprises the following steps: obtaining an original image acquired by an X-ray imaging system and a processed image obtained after processing the original image (11); determining on the basis of the processed image whether the processed image is a valid image (12); and extracting coordinates of a collimator border of a valid processed image, putting into a training pool the extracted coordinates of the collimator border and the original image corresponding to the valid processed image, and when the number of valid original images in the training pool reaches a preset threshold value, starting the training of the collimator border detection method (13).

There is provided a computed tomography imaging system including a gantry including a rotating member on a rotating side, a stationary member on a stationary side, and a data communication system. The rotating member on the rotating side includes an X-ray source configured to emit X-rays, an X-ray detector configured to generate detector data, a data storage unit configured to store the detector data, and processing circuitry configured to process at least part of the stored detector data to generate a processed data set. The stationary member on the stationary side is communicatively coupled to the rotating member on the rotating side, and the data communication system is configured to transfer the processed data set from the rotating member on the rotating side to the stationary member on the stationary side.

A radiographic imaging apparatus includes: an effective pixel area including a plurality of detection areas, in each of which a first pixel including a photoelectric conversion element and a second pixel including a light-blocking element are provided; a plurality of signal processing units that are provided so as to correspond to the plurality of detection areas and each process, for a corresponding one of the detection areas, an output signal from the first pixel and an output signal from the second pixel provided in the corresponding one of the detection areas; and a correction unit that makes, for each signal processing unit among the plurality of signal processing units, a correction to the output signal from the first pixel processed by the signal processing unit, by using the output signal from the second pixel processed by the signal processing unit.

A computer-implemented method for provision of a correction algorithm for an x-ray image that was recorded with an x-ray source emitting an x-ray radiation field, a filter facility spatially modulating an x-ray radiation dose, and an x-ray detector is provided. The correction algorithm includes a trained first processing function that, from first input data that includes at least one first physical parameter describing the x-ray radiation field and/or the measurement and at least one second physical parameter describing the spatial modulation of the filter facility, determines first output data. The first output data includes a mask for brightness compensation with regard to the spatial modulation of the filter facility in the x-ray image. The method includes providing first training data, providing an autoencoder for masks, and training of the autoencoder using the first training data. The method also includes determining an assignment rule, and providing the trained first processing function.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires a medical image and a heat map. The processing circuitry determines a transmittance of the heat map on the basis of pixel values of the medical image. The processing circuitry generates a superimposed image obtained by superimposing the heat map having the determined transmittance on the medical image.

Disclosed are a method and a system for visualizing X-ray positioning of a handheld X-ray machine. The method includes: acquiring video acquisition information and distance information from a preset distance acquisition module to an image receiving surface; processing the video acquisition information and the distance information and generating a processing result; and presenting a projection area of the X-ray based on the processing result.

The radiographic system including a plurality of radiation detection apparatuses, which detect radial rays, a combining processor which generates a long-size image by combining a plurality of radiation images obtained from the radiation detection apparatuses, and an image correction unit, which corrects a defective region in which the plurality of radiation detection apparatuses overlap with each other in the long-size image.

A system for indicating an area of interest on an image, including a source of image data, an image processing unit, a user interface, and a destination, which may be a display. The image data may be ultrasound, X-ray, magnetic resonance imaging, nuclear magnetic resonance imaging, magnetic resonance tomography, computed tomography or surgical image data. The image processing unit may be configured to receive the image data from the source and combine it with a desired overlay pattern selected from a plurality of overlay patterns for indicating an area of interest on the image, which is then displayed on the display. The overlay pattern may include a key with coordinates or labels. Properties of the overlay pattern and the image data may be adjusted independently or automatically.