Abstract: Some embodiments are directed to a container builder (110) for building a container image for providing an individualized network service based on sensitive data (122) in a database (121). The container builder (110) retrieves the sensitive data (122) from the database (121), builds the container image (140), and provides it for deployment to a cloud service provider (111). The container image (140) comprises the sensitive data (122) and instructions that, when deployed as a container, cause the container to provide the individualized network service based on the sensitive data (122) comprised in the container image (140).

Abstract: A non-transitory computer readable medium stores instructions readable and executable by at least one electronic processor to retrieve, based on a query received for a current service case, data related to a current medical imaging device for which the current service case to be performed; retrieve at least one service case resolution workflow comprising tasks for the current service case; identify (i) a first subset of the tasks of the at least one service case resolution workflow to be performed by a customer of the current medical imaging device, and (ii) a second subset of the tasks of the at least one service case resolution workflow to be performed by a service engineer; provide, on a display device of an electronic processing device, a user interface (UI) showing (i) the identified first subset of tasks and (ii) the identified second subset of tasks.

Abstract: The present disclosure relates to a method for operating a medical imaging system (100), the method carried out by use of a data processing unit (120), the method comprising: obtaining (SI), by a computational prediction model, time-invariant patient information, generating (S2), by the computational prediction model, a patient profile parametrized based on at least the obtained time-invariant patient information, obtaining (S3), by the computational prediction model, at least one current clinical workflow parameter, providing (S4), by the computational prediction model, a prediction comprising at least a patient-specific operation workflow based on at least correlating the generated patient profile with the obtained current clinical workflow parameter, wherein the patient-specific operation workflow comprises a specific one of a selection of operational modes of the medical imaging system, and operating the medical imaging system (100) based on the specific one of the selection of operational modes.

Abstract: The present invention relates to a magnetic resonance imaging system (10), comprising at least one gradient coil (20), and a processing unit (30). The processing unit is configured to control a gradient coil to produce intentional noise for sedation monitoring of a patient.

Abstract: A system (SYS) and related method for imaging support. The system (SYS) comprises a stimulus delivery component (SDC) configured to cause a chemoreceptor stimulus in a patient residing in or at an imaging apparatus (IA). A response measuring component (RMC) measure a response of the patient to the stimulus, and a decision logic (DL) establishes, based on the measured response, a sedation status of the patient for the purpose of imaging the patient. An imaging operation can be modified, for instance, halted if the patient is no longer sufficiently sedated.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a medical process or workflow compliance monitoring method (100). The method includes: monitoring (102) progress of an in-progress instance of a medical process or workflow using a Business Process Model (BPM) that includes a number of defined roles in the medical process or workflow; extracting (104) a non-compliance vector (c) from the BPM during the monitoring of the in-progress instance, the non-compliance vector comprising vector elements storing values of non-compliance metrics for the in-progress instance; converting (106) the non-compliance vector to a role assignments vector (a) whose vector elements store values indicative of role assignments for remediating non-compliance of the in-progress instance; and generating (108) one or more alerts directed to one or more roles on the basis of the vector elements of the role assignments vector.

Abstract: The present invention relates to a patient marker (10). The marker is configured to be placed on or inside a patient. The marker comprises a specific structure (20). When the marker is placed on or inside the patient, and the patient is positioned at least partially within an image acquisition unit of an imaging system, the marker is configured such that an image acquired by the imaging system comprises image data of the specific structure of the marker. The marker is configured such that image data of the specific structure of the marker comprises information useable to identify the marker. The marker is configured such that image data of the specific structure of the marker comprises information useable to define at least one parameter relating to an examination of the patient.

Abstract: A system (PPS) for patient positioning in imaging or radiation therapy. The system comprises a transmitter (TX). The transmitter (TX) is configured to generate an outgoing signal capable of inducing, from a distance, a haptic sensation at an impact region (IRE) on the patient's skin. The system further comprises a control logic (CL) configured to modify the outgoing signal in response to a received input request or in dependence on a distance between a current position of a region of interest (ROI) of the patient (PAT) and a target area (TA) in an imaging apparatus or in a radiation therapy apparatus.

Abstract: In the current diagnostic imaging workflow, transfer of handicapped patients between a hospital bed to a patient support of an imaging system and back is performed manually, which may be physically exhausting for staff and uncomfortable for the patient being transferred. Furthermore, this should be avoided in an autonomous scanning environment. Accordingly, the present application proposes an approach for enabling patient pain detection and reduction when using a patient transfer device configured to transfer a patient between a first and a second patient support.

Abstract: When acquiring detailed utilization information from imaging equipment in a cross-vendor approach, one or more sensors (16, 18, 22, 24) are positioned within a data security zone (14) in which an imaging procedure is performed. Sensor data is pre-processed on an isolated processing unit (20) to remove any sensitive information and keep a selection of features only. The resultant feature pattern is transmitted outside of the data security zone to a processing unit (28) where pattern recognition is performed on feature pattern to identify the type of imaging modality, scan, etc. being performed as well as to determine whether the scan is being performed according to schedule.

Abstract: A system for controlling operation of an imaging or therapy apparatus. The system comprises an interface (IN) for receiving a pain measurement signal as measured by one or more sensors (S) in relation to an anatomic part (BR) of the patient (PAT) i) being imaged in an imaging procedure by the imaging apparatus or ii) being under therapy in a therapy procedure delivered by the therapy device, whilst the part (BR) is held in an adjustable fixation device (FD). A control unit (CU) of the system is configured to process the pain measurement signal to compute at least one control signal. A control interface (CIF) of the system is configured to interact during the imaging or therapy procedure with the imaging apparatus (IA) and/or the fixation device (FD) based on the control signal to a) influence the imaging or therapy procedure and/or b) to adjust the fixation device so as to change the manner in which the part (BR) is being held.

Abstract: Some embodiments are directed to a container builder (110) for building a container image for providing an individualized network service based on sensitive data (122) in a database (121). The container builder (110) retrieves the sensitive data (122) from the database (121), builds the container image (140), and provides it for deployment to a cloud service provider (111). The container image (140) comprises the sensitive data (122) and instructions that, when deployed as a container, cause the container to provide the individualized network service based on the sensitive data (122) comprised in the container image (140).

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: To obtain feedback on image quality from qualified reviewers, an optically machine readable code (124) (e.g., a QR code or the like) is generated for each acquired medical image and embedded into the image. The embedded code includes information to the identity of the image, the imaging device, authorized reviewers, and authorized recipients of the feedback, as well as a link to a feedback form that can be retrieved by a communication device (38) used by an authorized user. When the embedded code is scanned by the communication device, the code is decoded and the feedback form is retrieved from a server, completed by the reviewer, and transmitted back to the authorized recipients of the feedback.

Abstract: A device, system and method for generating one or more simulated CT images from MR images, including retrieving MR image data for one or more body parts of a living being, said MR image data including a plurality of pixels and/or voxels, analyzing said MR image data to identify one or more tissue and/or material types for one or more of said plurality of pixels and/or voxels, registering one or more reference data sets to said identified one or more tissue and/or material types, said reference data sets corresponding to a specific one of said identified tissue and/or material types, said reference data sets including reference values, and computing one or more simulated CT images by assigning said reference values to said pixels and/or voxels corresponding to said identified one or more tissue and/or material types.

Abstract: Magnetic resonance (MR) spins are inverted by applying an inversion recovery (IR) radio frequency pulse (50). MR signals are acquired at an inversion time (TI) after the IR radio frequency pulse. TI is selected such that a first tissue of interest (e.g., blood) exhibits negative magnetism excited by the IR radio frequency pulse and a second tissue (e.g., intraplaque hemorrhage tissue) exhibits positive magnetism excited by the IR radio frequency pulse. The acquired magnetic resonance signals are reconstructed to generate spatial pixels or voxels wherein positive pixel or voxel values indicate spatial locations of positive magnetism and negative pixel or voxel values indicates spatial locations of negative magnetism. A first image (28) representative of the first tissue is generated from spatial pixels or voxels having negative signal intensities, and a second image (26) representative of the second tissue is generated from spatial pixels or voxels having positive signal intensities.

Abstract: Magnetic resonance (MR) spins are inverted by applying an inversion recovery (IR) radio frequency pulse (50). MR signals are acquired at an inversion time (TI) after the IR radio frequency pulse. TI is selected such that a first tissue of interest (e.g., blood) exhibits negative magnetism excited by the IR radio frequency pulse and a second tissue (e.g., intraplaque hemorrhage tissue) exhibits positive magnetism excited by the IR radio frequency pulse. The acquired magnetic resonance signals are reconstructed to generate spatial pixels or voxels wherein positive pixel or voxel values indicate spatial locations of positive magnetism and negative pixel or voxel values indicates spatial locations of negative magnetism. A first image (28) representative of the first tissue is generated from spatial pixels or voxels having negative signal intensities, and a second image (26) representative of the second tissue is generated from spatial pixels or voxels having positive signal intensities.