Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a method (100) of providing assistance from a remote expert (RE) to a local operator (LO) of a medical imaging device (2) during a medical imaging examination. The method includes: extracting image features from image frames displayed on a display device (24?) of a controller (10) of the medical imaging device operable by the local operator during the medical imaging examination; converting the extracted image features into a representation (43) of a current status of the medical imaging examination; and providing a user interface (UI) (28) displaying the representation on a workstation (12) operable by the remote expert.

Abstract: A method (100) of controlling a user interface (UI) provided by a remote operator workstation of a remote expert (RE) providing assistance to local operators (LO) of respective medical imaging devices (2) during a medical imaging examination includes: analyzing signal feeds (17, 18, 9) received by a feed aggregator (15) to detect events occurring in workspaces of the local operators; identifying a highest priority event from amongst the detected events using an event prioritization mapping; identifying a highest priority local operator as the local operator in whose workspace the highest priority event occurred; selecting a highest priority UI view corresponding to the highest priority event using the event-to-UI view mapping; and presenting information derived from the signal feeds from the workspace of the highest priority local operator in accordance with the highest priority UI view.

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 non-transitory computer readable medium (26s) stores instructions readable and executable by at least one electronic processor (14s) to perform a method (100) managing a schedule (42) of a medical professional. The method includes maintaining a schedule of tasks for the medical professional, the schedule including time intervals (44) with planned tasks; maintaining or receiving other schedules of tasks for others that interact with the medical professional; computing a likelihood of interruption of the medical professional as a function of time from the maintained or received other schedules; and outputting, on a display device (24, 36) of an electronic processing device (12, 8) operable by the medical professional, a representation (40) of the schedule of the medical professional with an indication of the likelihood of interruption as a function of time in the schedule.

Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

Abstract: An apparatus (10) for assessing radiologist performance includes at least one electronic processor (20) programmed to: during reading sessions in which a user is logged into a user interface (UI) (27), present (98) medical imaging examinations (31) via the UI, receive examination reports on the presented medical imaging examinations via the UI, and file the examination reports; and perform a tracking method (102, 202) including at least one of: (i) computing (204) concurrence scores (34) quantifying concurrence between clinical findings contained in the examination reports and corresponding computer-generated clinical findings for the presented medical imaging examinations which are generated by a computer aided diagnostic (CAD) process miming as a background process during the reading sessions; and/or (ii) determining (208) reading times (38) for the presented medical imaging examinations wherein the reading time for each presented medical imaging examination is the time interval between a start of the prese

Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

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 (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: A system (100) for reconstruction of medical images over a network comprises a scheduler (302) that schedules a reconstruction request (108) and the reconstruction request includes a medical image reconstruction of a subject according to an imaging protocol The scheduling includes scheduling of a plurality of events, each event with a corresponding time, and the plurality of events include at least one event with the corresponding time selected from a group consisting of a first time (520) to transmit raw image data (114) over a first network from a source node (116) to a reconstruction node (106), a second time (522) to reconstruct the medical image (118) by the reconstruction node, and a third time (524) to transmit the reconstructed medical image over a second network from the reconstruction node to a destination node (120).

Abstract: The present invention relates to a device and method for quality assessment of medical image datasets.

Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

Abstract: The present invention relates to device, system and method for verifying image-related information of a medical image.

Abstract: Various embodiments of the inventions of the present disclosure a systematic framework of matrices constructed as a basis for a centralized control of assigning imaging operators to operate imaging systems (11) in accordance with a plurality of scheduled imaging examinations.

Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

Abstract: An imaging system (10) includes: an image acquisition device (12), a device controller (16) comprising an electronic processor (20) programmed to operate the image acquisition device to acquire medical images of a patient and to maintain a machine log (26) storing an operating history of the image acquisition device; a server computer (34) programmed to retrieve patient information from at least one health information system (HIS) (18); and at least one feedback device (50, 52). The device controller, the server computer, or a combination of the device controller and server computer is programmed to implement at least one state machine (30, 44) having a plurality of states defined by values of state variables wherein the states represent respective attainable states of an image acquisition procedure (100) and the image acquisition device.

Abstract: A system includes an analytics unit (140), which compares a medical image (105) and associated information with a stored medical guideline (142), and identifies an error or a deviation (340) from the medical guideline based on the comparison.

Abstract: The present invention relates to an apparatus for providing mammography quality analytics. It is described to provide (210) at least one mammogram. A plurality of mammogram acquisition parameters is provided (220), wherein at least one mammogram acquisition parameter is associated with a corresponding mammogram. The at least one mammogram is analysed (230) and a plurality of breast positioning quality parameters is generated, wherein at least one breast positioning quality parameter is associated with a corresponding mammogram. The plurality of mammogram acquisition parameters and the plurality of breast positioning quality parameters is analysed (240) and quality control information is generated (240).

Abstract: The present invention relates to a device and method for quality assessment of medical image datasets.

Abstract: The present invention relates to device, system and method for verifying image-related information of a medical image.