Abstract: The invention concerns a device, a method, and an X-ray-system comprising such a device, for assisting in positioning at least one body part of a patient for an X-ray acquisition by an X-ray system, comprising a display for displaying the body part to a user, a first camera on a first side of the display, arranged and configured to monitor the body part, wherein the body part is monitored from a viewing perspective of the device, and a processing unit. The processing unit is configured to estimate an actual bone position of the body part based on one or more images captured by the first camera, determine a target bone position, calculate a difference between the estimated actual bone position and the target bone position. The device is configured to display by the display at least one of the target bone position, the estimated actual bone position, and the calculated difference between the estimated actual bone position and the target bone position overlaid over at least one image of the body part.

Abstract: The present invention relates to patient positioning. In order to facilitate patient positioning, an apparatus is provided that comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive an X-ray image of an anatomy of interest of a patient obtained from a first image acquisition and a target set of pose parameters describing a target position of the anatomy of interest for image acquisition. The processing unit is configured to detect the anatomy of interest in the X-ray image, to determine a set of pose parameters describing a current position of the detected anatomy of interest in the first image acquisition, to determine a difference between the determined set of pose parameters and the target set of pose parameters, and to construct a trajectory that defines a sequence of sets of pose parameters for bringing the anatomy of interest from the current position to the target position, if the difference is equal to or greater than a pre-defined threshold.

Abstract: A CT scanner for performing a brain scan performs a low dose 3D scan with a first field of view. By analyzing the low dose 3D scan, for example using landmark detection, a proposed field of view is obtained for a full dose 3D brain scan. A representation of the proposed field of view is displayed, and a final field of view is generated, as the proposed field of view or an updated version of the proposed field of view provided by a user of the CT scanner.

Abstract: An X-ray imaging system (100) includes an X-ray source (110) and an X-ray detector (120) that are separated by an examination region (150) for performing an X-ray imaging operation on an object (160). A processor (140) is configured to identify (S120) one or more internal structures (180) within the object (160), based on a comparison of depth sensor data representing a three-dimensional surface (170) of the object (160), with an anatomical model comprising the one or more internal structures (180). The processor (140) is also configured to compute (S130), using the depth sensor data and the identified one or more internal structures (180), a surface projection (190) of the one or more internal structures, on the surface (170) of the object (160), from a perspective of the X-ray source (110); and to output (S140) an image representation of the surface projection (190) for displaying as an overlay on the surface (170) of the object (160).

Abstract: Systems, apparatuses and methods provide technology to automatically evaluate diagnostic images, including receiving a diagnostic image relating to a condition of a patient, performing a registration of the diagnostic image with reference to an anatomical structure, identifying one or more ROIs from the registered image, generating a feature distribution based on the one or more ROIs, analyzing the feature distribution to determine a quantification, the quantification reflecting the condition of the patient, and providing a diagnostic output based on the quantification. In embodiments, identifying a ROI includes identifying a field of interest in the registered image, the field of interest encompassing the one or more regions of interest, and dividing the field of interest into a plurality of sub-regions. In embodiments, generating a feature distribution includes generating an intensity histogram for each ROI.

Abstract: The invention relates to detecting anatomical abnormalities in medical images. In order to detect anatomical abnormalities, a computer-implemented method (100) and system are disclosed that detect 2D contours (130) of anatomical features in a medical image and compares these contours with predicted 2D contours (140) based on a 3D reference model in order to detect (150) anatomical abnormalities. This approach may improve accuracy of anatomical abnormality detection, thereby cutting time in a medical facility and potentially improving operator experiences and patient outcomes.

Abstract: A computer implemented method of making a measurement associated with a feature of interest in an image. The method comprises using (302) a model trained using a machine learning process to take the image as input and predict a pair of points between which to make the measurement of the feature of interest in the image. The method then comprises determining (304) the measurement, based on the predicted pair of points.

Abstract: When performing an imaging scan on a patient, x-ray tube currents are modulated as the scan is performed. The x-ray tube current values and modulations may be recorded and accessed. The accessed values may be processed to generate overlays and displays for identifying patient and diagnostic device issues.

Abstract: A computer-implemented method of compensating for differences in medical images, is provided. The method includes receiving (S110) image data comprising a temporal series of medical images (1101. . .i). The temporal series includes one or more medical images generated by a first type of imaging modality (120), and one or more medical images generated by a second type of imaging modality (130, 130?). The first type of imaging modality is different to the second type of imaging modality. In one aspect, the method includes generating (S120a. S120b), from the temporal series of medical images (1101. .i), a normalised temporal series of medical images (1401. .i), and outputting (S130a. S130a?. S130b) the normalised temporal series of medical images (1401. . i) and/or one or more measurement values derived therefrom. In another aspect, the method includes generating (S120a. S120b), from the temporal series of medical images (1101 . .i), one or more normalised measurement values (1501. . .

Abstract: An apparatus (1) for use in conjunction with a medical imaging device (2) having an imaging device controller (4) that displays a graphical user interface (GUI) (8) including a preview image viewport (9). The apparatus includes at least one electronic processor (20) programmed to: receive a video feed (17) of the GUI displayed on the imaging device controller; extract a preview image (12) displayed in the preview image viewport from the live video feed of the GUI; perform an image analysis (38) on the extracted preview image to detect one or more image features (42) indicative of one or more potential problems associated with a medical imaging examination performed with the medical imaging device; and output an alert (30) when one or more potential problems associated with the medical imaging examination is detected from the one or more image features.

Abstract: : A computer-implemented method of providing normalised medical images (110?1 . . . n) representing a region of interest (120) in a subject, is provided. The method includes: warping medical images (1101 . . . n) in a temporal series to a 2D atlas image (130), to provide normalised medical images (110?1 . . . n) having a warped region of interest (120?1 . . . n) for comparison with the region of interest (120) in the atlas image (130). The method also includes outputting the normalised medical images (110?1 . . . n), and/or outputting a magnitude of a change in the warped region of interest (120?1 . . . n) between the normalised medical images (110?1 . . . n).

Abstract: An apparatus (1) for providing image quality feedback during a medical imaging examination includes at least one electronic processor (20) programmed to: receive a live video feed (17) of a display (6) of an imaging device controller (4) of an imaging device (2) performing the medical imaging examination; extract a preview image (12) from the live video feed; perform an image analysis (38) on the extracted preview image to determine whether the extracted preview image satisfies an alert criterion; and output an alert (30) when the extracted preview image satisfies the alert criterion as determined by the image analysis.

Abstract: An apparatus (10) for manually auditing a set (30) of images having quality ratings (38) for an image quality metric assigned to the respective images of the set of images by an automatic quality assessment process (40) includes at least one electronic processor (20) programmed to: generate quality rating confidence values (42) indicative of confidence of the quality ratings for the respective images; select a subset (32) of the set of images for manual review based at least on the quality rating confidence values; and provide a user interface (UI) (27) via which only the subset of the set of images is presented and via which manual quality ratings (46) for the image quality metric are received for only the subset of the set of images.

Abstract: The present invention relates to a system and a method for detecting pain experienced by a patient in relation to a pose of the patient. The system comprises a pose estimation unit configured to estimate the pose of the patient and a pain detection unit configured to detect pain experienced by the patient. The system further comprises a processing unit configured to determine a correlation between the detected pain experienced by the patient and the estimated pose of the patient. The determined correlation can be displayed on a display unit to a physician.

Abstract: An apparatus (1), for use in conjunction with a medical imaging device (2) having an imaging device controller (4) that displays a graphical user interface (GUI) (8) including a preview image viewport (9), includes at least one electronic processor (20) programmed to: perform an image analysis (38) on a preview image displayed in the preview image viewport to generate preview-derived image label information; extract GUI-derived image label information from the GUI excluding the preview image displayed in the preview image viewport; and output an alert (30) when the preview-derived image label information and the GUI-derived image label information are not consistent.

Abstract: Technology provides baseline images for diagnostic applications, including receiving a diagnostic image relating to a condition of a patient, the diagnostic image reflecting one of a normal state or an abnormal state of the condition, and generating a baseline image via a neural network using the diagnostic image, where the neural network is trained to generate a prediction of the diagnostic image reflecting a normal state of the condition. The neural network can include a generative adversarial network (GAN) trained only on image data with a normal state of the condition, where generating the baseline image includes an optimization process to maximize a similarity between the diagnostic image and a response of the GAN. Generating the baseline image can include selecting a portion of the diagnostic image, and adjusting a relevance weighting to be applied to the selected portion of the diagnostic image in the optimization process.

Abstract: The present invention relates to patient positioning. In order to facilitate patient positioning, an apparatus is provided that comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive an X-ray image of an anatomy of interest of a patient obtained from a first image acquisition and a target set of pose parameters describing a target position of the anatomy of interest for image acquisition. The processing unit is configured to detect the anatomy of interest in the X-ray image, to determine a set of pose parameters describing a current position of the detected anatomy of interest in the first image acquisition, to determine a difference between the determined set of pose parameters and the target set of pose parameters, and to construct a trajectory that defines a sequence of sets of pose parameters for bringing the anatomy of interest from the current position to the target position, if the difference is equal to or greater than a pre-defined threshold.

Abstract: The present invention relates to medical imaging. In order to reduce repeat images, it is proposed to enable automated prediction of quality metrics prior to image formation by exploiting data from sensors. This may greatly improve the quality of medical image data acquired in the actual imaging examination, thereby leading to fewer retakes, less delayed treatment to patients, shortened workflow, and higher patient rate. In X-ray and CT exams, fewer retakes may also reduce radiation doses for patients.

Abstract: A method is provided for analyzing survey imaging data. The method comprises acquiring first image data with a first imaging protocol covering a first FOV, processing the data with an anatomical analysis program or routine to detect at least a portion of a target anatomy, and performing a coverage check adapted to determine whether the target anatomy is fully covered within the first FOV. Second image data is subsequently acquired in accordance with a second imaging protocol defining a second FOV. The second imaging protocol may be: the same as the first, but wherein the results of the coverage check are stored and linked with the second image data for later use; different to the first and wherein the results of the coverage check are output to a user interface and a user input responsive thereto is used to determine the second scan protocol; or different to the first, but wherein an adjusted second scan protocol is automatically determined.

Abstract: An X-ray imaging system (100) includes an X-ray source (110) and an X-ray detector (120) that are separated by an examination region (150) for performing an X-ray imaging operation on an object (160). A processor (140) is configured to identify (S120) one or more internal structures (180) within the object (160), based on a comparison of depth sensor data representing a three-dimensional surface (170) of the object (160), with an anatomical model comprising the one or more internal structures (180). The processor (140) is also configured to compute (S130), using the depth sensor data and the identified one or more internal structures (180), a surface projection (190) of the one or more internal structures, on the surface (170) of the object (160), from a perspective of the X-ray source (110); and to output (S140) an image representation of the surface projection (190) for displaying as an overlay on the surface (170) of the object (160).