Abstract: A method for providing feedback data in a medical imaging system (22) for a medical imaging process, comprising the steps of: providing, by a calculation unit, a simulation model, trained to predict an appearance of a medical image to be acquired by using the medical imaging system (22) from a relation between subject positioning data associated with a captured positioning of a subject (27), equipment positioning data associated with a captured positioning of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in a medical imaging system (22), and medical image data associated with the subject positioning data and the medical care and/or monitoring equipment positioning data (S10); obtaining, by the calculation unit, from at least one measuring means (25, 26), current subject positioning data of a subject (27) and current medical equipment positioning data of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in the m

Abstract: A system (100) for transferring data (110) generated by a medical imaging system over a communication network (120), is provided. The system includes a processing arrangement (130, 140) configured to identify (S120) one or more protected health information, PHI, elements (110?) in the data (110); obscure (S130) the one or more PHI elements (110?) in the data (110) to provide de-identified data (110?); transmit (S140) the de-identified data (110?) over the communication network (120); and receive (S150) the de-identified data (110?) at a remote terminal (150).

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: 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: 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: 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: 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: A system (100) for transferring data (110) generated by a medical imaging system over a communication network (120), is provided. The system includes a processing arrangement (130, 140) configured to identify (S120) one or more protected health information, PHI, elements (110?) in the data (110); obscure (S130) the one or more PHI elements (110?) in the data (110) to provide de-identified data (110?); transmit (S140) the de-identified data (110?) over the communication network (120); and receive (S150) the de-identified data (110?) at a remote terminal (150).

Abstract: A method for providing feedback data in a medical imaging system (22) for a medical imaging process, comprising the steps of: providing, by a calculation unit, a simulation model, trained to predict an appearance of a medical image to be acquired by using the medical imaging system (22) from a relation between subject positioning data associated with a captured positioning of a subject (27), equipment positioning data associated with a captured positioning of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in a medical imaging system (22), and medical image data associated with the subject positioning data and the medical care and/or monitoring equipment positioning data (S10); obtaining, by the calculation unit, from at least one measuring means (25, 26), current subject positioning data of a subject (27) and current medical equipment positioning data of at least one medical care and/or monitoring equipment (28, 30) arranged in or at the subject (27) in the m

Abstract: An apparatus including a memory (128), a display (122), and a processor (126). The memory is configured to store a protocol definition module (132). The processor is configured to execute the protocol definition module, which causes the processor to display, via the display, an interactive graphical tool (202) that includes a digital representation of an anatomical model with an interactively generated scan field of view superimposed thereover to create a standard scan protocol for execution by an imaging system, wherein the scan field of view identifies anatomy of the subject to scan for the scan protocol.

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: 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 mechanism for identifying a position of one or more anatomical landmarks in a medical image. The medical image is processed with a machine-learning algorithm to generate, for each pixel/voxel of the medical image, an indicator that indicates whether or not the pixel represents part of an anatomical landmark. The indicators are then processed in turn to predict a presence and/or position of the one or more anatomical landmarks.

Abstract: A non-transitory computer readable medium (26) stores instructions readable and executable by at least one electronic processor (20) to perform a radiology report analysis method (100). The method includes: identifying occurrences of radiology findings (36) and associated uncertainty indicators (38) in a plurality of radiology reports (32); assigning uncertainty scores (40) on a numerical scale to the identified occurrences of radiology findings based on the associated uncertainty indicators; and providing a user interface (UI) (28) on a display device (24) operatively connected with the at least one electronic processor that displays a representation (44) of the uncertainty scores assigned to the occurrences of radiology findings.