The present invention relates to a computer-implemented method of determining a rotational position of an object in a coordinate system of an x-ray imaging device. An x-ray image is generated of an object to which a Moiré marker for x-ray imaging is attached. Subsequently, the Moiré pattern generated by the Moiré marker is analysed and the rotational position of the marker and hence of the object is determined in a calculative manner. The Moiré marker for x-ray imaging includes a pattern which results in a significantly different appearance when being observed from slightly different perspectives. One embodiment example of the Moiré marker for x-ray imaging consists of two layers with patterns produced by a material that shields x-ray as good as possible like for example lead, surrounded and spaced apart by material that is highly transparent in x-ray like for example air or light plastics. The size of the openings in the pattern shall preferably be small compared to the distance of the two layers such that a small change in orientation of the marker results in a fairly significant change in the structure of the second layer seen through the aperture of the first layer. Multiple structures with different hole sizes and layer distances can be used to have a larger working range while maintaining accuracy.

In a method and system, a medical imaging modality and the parameters to be deployed for the determined imaging modality are determined to produce an image of an examination object using the determined imaging modality and the determined parameters. Information from the preliminary examination(s) of the examination object can be automatically classified to generate classification results corresponding to interfering influence(s) resulting from the production of the image. The classification results can be analyzed to evaluate the classification results. The medical imaging modality and the parameter(s) is determined, based on the evaluated results, to minimize an influence of the interfering influences of the classification results in image(s) of the examination object generated using the determined medical imaging modality and the determined one or more parameters. The image(s) may then be generated using the determined medical imaging modality and the determined parameter(s).

A radiation image display apparatus that constitutes a radiation imaging system includes a displayer and a hardware processor that acquires image data of a dynamic image constituted of a plurality of frame images, image data of an analysis dynamic image obtained by applying predetermined image processing to the image data of the dynamic image and image data of a related dynamic image which is related to the dynamic image or the analysis dynamic image respectively, and causes the displayer to display the related dynamic image together with the dynamic image and the analysis dynamic image.

A method includes generating first contrast significance data for a first computer vision model generated from a first training set of medical scans. First significant contrast parameters are identified based on the first contrast significance data. A first re-contrasted training set is generated based on performing a first intensity transformation function on the first training set of medical scans, where the first intensity transformation function utilizes the first significant contrast parameters. A first re-trained model is generated from the first re-contrasted training set, which is associated with corresponding output labels based on abnormality data for the first training set of medical scans. Re-contrasted image data of a new medical scan is generated based on performing the first intensity transformation function. Inference data indicating at least one abnormality detected in the new medical scan is generated based on utilizing the first re-trained model on the re-contrasted image data.

An apparatus is configured to receive input image data corresponding to output image data of a first radiology scanner device, translate the input image data into a format corresponding to output image data of a second radiology scanner device and generate an output image corresponding to the translated input image data on a post processing imaging device associated with the first radiology scanner device. Medical images from a new scanner can be translate to look as if they came from a scanner of another vendor.

Disclosed is an X-ray image processing apparatus including a data obtaining unit generating first to N-th images indicating an internal structure of an object and an image processing unit receiving the first to N-th images from the data obtaining unit, detecting a movement of the object, and generating a final image from the first to N-th images based on the movement of the object. The data obtaining unit actively controls an X-ray pulse irradiated based on the movement of the object.

A body thickness conversion unit converts a body thickness from a distance image imaged by a distance measurement camera to acquire the body thickness. A setting unit sets a gradation transformation function for use in gradation transformation processing to a radiographic image corresponding to the body thickness. A radiographic image acquisition unit acquires the radiographic image output from a radiation detector in radioscopy. A gradation transformation processing unit starts the gradation transformation processing with the gradation transformation function set by the setting unit.

To provide a technique with which dose indices can be managed for body parts in a range to be imaged on a body part-by-body part basis, an X-ray CT apparatus comprises: image producing unit (51) for producing a scout image (10) of a patient; defining unit (52) for defining a range (11) to be imaged in the scout image (10); segmenting unit (53) for segmenting the range (11) to be imaged into two body parts; identifying unit (54) for identifying which one of body parts (12) included in a human body each of the two body parts corresponds to; and calculating unit (55) for calculating a dose index for each of the two body parts.

The present invention relates to an apparatus (10) for generating photon counting spectral image data, comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to receive non-photon counting X-ray spectral energy data. The processing unit is configured to implement a deep learning regression algorithm to generate photon counting X-ray spectral data, and the generation comprises utilization of the non-photon counting X-ray spectral energy data. The output unit is configured to output the photon counting X-ray spectral data.

A radiography system having multiple digital radiographic detectors captures an image in each of the detectors when the x-ray source is fired. The detectors evaluate the captured images and a controller prioritizes the captured images according to the evaluations to determine which captured images are forwarded and in what order. At least one of the DR detectors captures a suitable diagnostic x-ray image.