A method for processing a plurality of radiation protective garments includes receiving a plurality of radiation protective garments from a customer, scanning an identification tag of each received radiation protective garment to identify electronic identification data of each radiation protective garment, and automatically identifying a subset of the radiation protective garments that require performance testing by using the identification data to access a file history of each scanned radiation protective garment, the file history including a performance testing schedule. The method further includes using an x-ray scanning system to scan the subset of the radiation protective garments and to generate x-ray image data, automatically updating the file histories of the subset of the radiation protective garments to include the corresponding x-ray image data, and identifying defects in the corresponding radiation protective garment based on the x-ray image data.

This invention relates to an image processing device (1) comprising an input (2) for receiving image data representative of a region of interest in the body of a patient from a medical X-ray imaging apparatus (100). The image data comprises a first dark-field image obtained for a first X-ray spectrum and a second dark-field image obtained for a second, different, X-ray spectrum. A combination unit (3) provides a combination image that is representative of a medical condition map, e.g. a lung condition map, by combining the first dark-field image and the second dark-field image.

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.

Various methods and systems are provided for mammogram imaging. In one example, a method for an x-ray mammography system includes determining, based on a pre-exposure image of a subject acquired with the x-ray mammography system before acquisition of one or more main images, that the subject has an implant; automatically adjusting one or more imaging parameters in response to determining that the subject has the implant; and acquiring the one or more main images with the adjusted one or more imaging parameters.

A model training device according to an embodiment of the present disclosure includes processing circuitry. The processing circuitry is configured to obtain an initial learning model by learning a data set including medical images as learning data. The processing circuitry is configured to evaluate the initial learning model by using a global metric, so as to obtain error data sets each having an outlier from among a plurality of data sets used in the evaluation. The processing circuitry is configured to obtain a plurality of error data set groups by grouping the plurality of error data sets while using a local metric. The processing circuitry is configured to specify model training information with respect to each of the error data set groups.

A method for detecting the maximum potential presence of a material in an object. The method includes obtaining raw x-ray image data comprising a plurality of pixels for the object from an X-ray scanning device, wherein each pixel of the plurality of pixels has associated therewith an attenuation value and an effective atomic number (Z.sub.eff) for the pixel. The method further includes converting, for each pixel having a Z.sub.eff value greater than a threshold effective atomic number (Z.sub.eff-threshold), the Z.sub.eff at the pixel to the Z.sub.eff-threshold while applying a correction factor to the attenuation value for the pixel to bring the attenuation value into correspondence with the conversion of the Z.sub.eff value for the pixel and determining a maximum potential amount of the material present at each pixel based on the corrected attenuation value at the pixel. This renders material more apparent in visual display.

An interactive image marking method is introduced. The interactive image marking method includes the following steps, displaying a target image and at least one marked region in the target image; receiving an interactive signal, where the interactive signal corresponds to a first pixel of the target image; calculating a correlation between the first pixel and pixels of the target image, and determining a correlation range in the target image according to the correlation; editing the marked region according to the correlate range; and displaying the edited marked region. In addition, an electronic device and a recording medium using the method are also introduced.

An apparatus for radiopharmaceutical quantification of a body part includes a processor configured to receive at least one gamma image of a body part acquired by at least one gamma camera configured to detect gamma and/or X-rays. The at least one gamma image comprises spectral energy data that includes data resulting from decay of at least one radiopharmaceutical. The processor is configured to determine an activity of the at least one radiopharmaceutical at a plurality of spatial positions in the body part and determines a spatial distribution of the at least one radiopharmaceutical in the body part. The determination for a spatial position of the plurality of spatial positions comprises correlating a generated synthetic spectrum to an experimental spectrum generated from the spectral energy data for at least one position in the at least one gamma image that corresponds to that spatial position.

Systems, methods, and computer software are disclosed for acquiring images during delivery of a radiation beam, the images capturing at least a portion of a shape representative of a radiation field generated by a radiation delivery system that includes a radiation source configured to deliver the radiation beam.

One or more example embodiments relates to a computer-implemented method for providing key elements of the examination region in an X-ray image.