The bone measurement system is configured to detect a density of a metallic source within a bone. The bone measurement system includes an x-ray fluorescence (XRF) device, a filter, a radiation detector, a non-transitory computer-readable storage medium storing processor-executable instructions, and a processor. The XRF device may have an x-ray tube including an x-ray source and an anode. The x-ray source may be configured to produce an x-ray beam. The x-ray tube may include a backscatter geometry of around less than one-hundred and eighty degrees to more than ninety degrees. The filter may be disposed along a path of the x-ray beam. The radiation detector may be coupled to the XRF device.

An X-ray diagnostic apparatus according to an embodiment includes an X-ray tube, an X-ray detector, image generating circuitry, and processing circuitry. The X-ray tube emits X-rays. The X-ray detector detects X-rays emitted from the X-ray tube and transmitted through a subject. The processing circuitry receives a designating operation related a display mode for a target that is at least one of a region of the subject and an object inserted in the subject. In response to the designating operation, the processing circuitry changes the display mode of the target in an X-ray projection image that is based on a detection result of the X-ray detector, the display mode being changed based on three-dimensional medical image data related to the subject.

Present invention relates to safety features for radiopharmaceutical dispensing system, wherein dispensing system comprises a controller, a source of radiopharmaceutical and other components. The controller is configured to perform automated quality control of the system to ensure that the system complies quality control before radioactive dose dispensing. The quality control comprises scanning the dispensing system, network or connected devices for an unauthorized connection, malware and ensure that system is free of any such cybersecurity threat before dispensing a radioactive dose.

The present disclosure provides systems and methods for determining one or more diagnostic indicators using X-ray diffraction (XRD). In some embodiments, the techniques described herein relate to a system including: a fixture configured to position a region of skin of a patient within a measurement region; an X-ray source coupled to the fixture and configured to emit an X-ray beam that overlaps with the measurement region; an X-ray receiver coupled to the fixture, the X-ray receiver including a coordinate-sensitive digital detector of X-rays; and one or more processors coupled to the X-ray receiver. The one or more processors can be configured to collect XRD data from the X-ray receiver, to process the XRD data, and to determine a diagnostic indicator for assessment of a physiological or pathological condition based on the processed XRD data.

A system(s), a computer-implemented method(s) and/or computer executable instructions encoded on a computer readable medium(s) obtains, for a scan series for a subject that includes arms of the subject at different positions relative to the subject, a scout image for the subject, removing the arms of the subject from the scout image, designating the scout image with the arms of the subject removed as a reference image for X-ray source current modulation for the scan series, and utilizes the designated scout image for X-ray source current modulation for the scan series.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured: to perform registration between one contrast image and each of a plurality of mask images; to calculate a plurality of matching degrees between the plurality of mask images and the one contrast image registered with each other, on the basis of the plurality of mask images and the one contrast image registered with each other; and to determine a difference between one of the mask images corresponding to a maximum matching degree among the plurality of matching degrees and the one contrast image, as one subtraction image corresponding to the one contrast image.

The present disclosure relates to determining a biological tissue structural marker for diagnosis of a disease using a biological tissue characterization technique. A method for determining a structural marker for a diagnosis of a disease can include measuring a first molecular structure of a biological tissue of a first population of animals, after a carcinogenic or pathogenic substance was introduced into the first population. A second molecular structure of the biological tissue of a second population of animals can be measured, wherein the second population did not receive the carcinogenic or pathogenic substance. A first and a second structural marker of the molecular structures of the biological tissue of the first and second populations, respectively, can be identified and compared to determine that the first structural marker is indicative that the biological tissue of the first population of animals was affected by the disease.

The bone measurement system is configured to detect a density of a metallic source within a bone. The bone measurement system includes an x-ray fluorescence (XRF) device, a filter, a radiation detector, a non-transitory computer-readable storage medium storing processor-executable instructions, and a processor. The XRF device may have an x-ray tube including an x-ray source and an anode. The x-ray source may be configured to produce an x-ray beam. The x-ray tube may include a backscatter geometry of around less than one-hundred and eighty degrees to more than ninety degrees. The filter may be disposed along a path of the x-ray beam. The radiation detector may be coupled to the XRF device.

The present disclosure provides systems, devices, and methods for scanning parameter determination. The systems may display, via a user terminal, a user interface including one or more input items for a user to input clinical information relating to a target subject. The clinical information may at least include symptom information. The systems may receive, from the user terminal, the clinical information relating to the target subject. The systems may further determine, based on the clinical information using a scanning parameter determination model, recommended values of scanning parameters to be used in a scan of the target subject. The scanning parameter determination model may be a trained machine learning model.

A standard blood vessel generation device specifies, for each subject, a blood vessel region in which a blood vessel is depicted in an image, derives a feature line that connects feature points included in a plurality of figures included in the blood vessel region and that is along the blood vessel region, specifies a branch point on the feature line, disposes division points for line division on a line with a start point being one of two adjacent branch points and an end point being the other branch point, executes, for each set of division points having the same order counted from the start point in a plurality of the subjects, a process of calculating a statistic amount of coordinates for the set of the division points and setting a point whose coordinates are equal to the statistic amount as a standard point, and a process of setting a dimension of a predetermined site in the figure including the standard point and included in the blood vessel region as a standard diameter, and generates a standard blood vessel that is a blood vessel whose diameter at the standard point is the standard diameter and that is along a standard line connecting a plurality of the standard points.