Abstract: A system (100) for ultrasound (US) medical imaging is disclosed. The system (100) includes an ultrasound imaging device (110); and a memory (130) adapted to store: a trained predictive model comprising instructions; prior imaging data for a patient (105), or prior non-imaging data for the patient (105), or both; segmented relevant structures from the prior imaging data; and extracted quantitative parameters of the patient (105) from the segmented relevant structures. The system (100) comprises a controller (120). The instructions, when executed by the controller (120), cause the controller (120), based on the quantitative parameters, to determine whether or not to apply a contrast agent to the patient (105). A method (300) and a tangible, non-transitory computer readable medium that stores the instructions are also described.

Abstract: A system for medical imaging is disclosed. The system includes an ultrasound (US) probe connected by a US cable having a sensor along its length. The sensor is adapted to gather measurement data from the US cable. The system also has a processor and a memory. The memory stores instructions, which when executed by the processor, cause the processor to: input the measurement data to a trained computational model; and apply the trained computational model to the measurement data to predict cable integrity of the US cable based on ground truth data, or to forecast a remaining useful life (RUL) of the US cable using ground truth data, or both. A sensor including a flexible textile-like substrate is also described. The sensor is embedded in the substrate and along a length of the US cable.

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: A system, method, and computer-readable medium are disclosed for extracting breathing pattern data from ultrasound images for aiding downstream clinical patient management, including detecting a trigger event indicative of a breathing pattern from at least one of an audio-based trigger and an image-based trigger from an ultrasound video stream. The presently disclosed technique may further include identifying a breathing pattern in the ultrasound video stream responsive to detection of the trigger event. The presently disclosed technique may also include extraction of at least one breathing-related parameter and the generation of a record with the at least one breathing-related parameter.

Abstract: A lung injury monitoring system (200) configured to monitor a patient's lungs during ventilation. comprising: an ultrasound device (280) configured to obtain an ultrasound image of the patient's lungs during ventilation of the patient: a processor (220) configured to: (i) receive the obtained ultrasound image: (ii) determine a ventilation phase of the ventilator: (iii) analyze the received ultrasound image: and (iv) determine a risk score for a potential ventilator-associated lung injury (VALI): and a user interface (240) configured to display the determined risk score for the potential VALI.

Abstract: A system (100) for medical imaging is described. The system (100) includes: a computer tomography (CT) device (502) having a table (106); a processor; and a memory (130) that stores instructions. When executed by the processor, the instructions cause the processor to: compile ground truth data from measured BFS at a plurality of locations of an examined portion of a body, including each of a plurality of specific locations (201); train a computational model (211) to predict BFS using the ground truth data; infer BFS's throughout the examined portion of the body based on the computational model (211); and determine a contrast medium injection duration, or a speed of a table (106), or both, prior to a CT scan (402) based on the inferred BFS's. A method (600) and a tangible non-transitory computer readable medium are also disclosed.

Abstract: The present invention relates to a computer-implemented method for generating a simulated CBCT image based on a computed tomography image. A computed tomography image is converted into attenuation coefficients of the represented tissue, and the computed tomography image is forward-projected to a projection image based on scanner parameters of a simulated CBCT scanner. After the addition of artificial noise to the projection image representing noise detected by the simulated CBCT scanner, the projection image is back-projected with a reconstruction algorithm for the generation of a simulated CBCT image of the subject. The present invention relates further to a method for generating training data for training an artificial intelligence module based on the simulated images, and to methods for registering a computed tomography image to a CBCT image and for segmenting a CBCT image with an artificial intelligence module trained with training data comprising the simulated CBCT images.

Abstract: A system (100) for medical imaging is disclosed. The system (100) includes: a computer tomography (CT) device (502) having a table (106); a memory (130) adapted to store: a computational model (211) including instructions; an updated measurement of blood flow speed at at least some of a plurality of specific locations (201) in a portion of the body, or at at least one other location in the portion of the body, or both; and an inferred blood flow speed throughout the portion of the body based on the computational model (211); and a processor. The instructions, when executed by the processor, cause the processor to: determine a contrast medium injection duration, and a speed of the table (106) prior to a CT scan (402) based on the inferred blood flow speed.

Abstract: A method and an ultrasound system configured for identifying recommended post-exam disinfection and cleaning steps and providing an alert of the recommended disinfection and cleaning steps to a user of the ultrasound system. The system obtains clinical informatics, examination details, user selected ultrasound exam settings, and ultrasound images and annotations. The system determines a recommended disinfection classification based on the clinical informatics, examination details, user selected ultrasound exam settings, and ultrasound images and annotations. The, the system provides an alert to a user to conduct a post exam disinfection procedure; the alert including the recommended disinfection classification.

Abstract: Augmented reality (AR) servicing guidance uses a mobile device (30, 90) with a display and a camera. Computer vision (CV) processing (102) such as Simultaneous Location and Mapping (SLAM) is performed to align AR content (80) with a live video feed (96) captured by the camera. The aligned AR content is displayed on the display of the mobile device. In one example, the mobile device is a head-up display (HUD) (90) with a transparent display (92, 94) and camera (20). In another example the mobile device is a cellphone or tablet computer (30) with a front display (34) and a rear-facing camera (36). The AR content (80) is generated by CV processing (54) to align (70) AR content with recorded video (40) of a service call. The aligning (72) includes aligning locations of interest (LOIs) identified in the recorded video of the service call by a user input.

Abstract: The invention refers to an apparatus that allows to improve the image quality of nuclear images, e.g. PET images. The apparatus (110) comprises a providing unit (111) for providing nuclear image data of a region of interest, a providing unit (112) for providing a motion signal indicative of a motion of the region of interest, a determination unit (113) for determining different motion states of the region of interest based on the motion signal, a determination unit (114) for determining for each motion state nuclear image data corresponding to the motion state, a reconstruction unit (115) for reconstructing an absorption map for each motion state based on the corresponding nuclear image data of the respective motion state, and a reconstruction unit (116) for reconstructing one or more nuclear images of the region of interest based on the nuclear image data and the absorption maps reconstructed for each motion state.

Abstract: An imaging system (MIS), optionally a medical imaging system, with wireless communication capability and related method. The imaging system comprises a gantry (RG) rotatable around a rotation axis. The gantry includes a detector device (D) capable of recording, in plural spatial positions, measurement data in relation to a subject (such as a patient) (PAT) to be imaged. The system also includes a radio transmitter (TX) for generating a directed radio beam propagatable along a propagation axis to transmit the measurement data to a radio receiver (RX). The radio transmitter (TX) is arranged at the rotatable gantry and is operable so that the propagation direction intersects the rotation axis in a location that is situated away from the rotatable gantry.

Abstract: An X-ray imaging system (XI) configured for phase contrast and/or dark-field imaging The system comprises an X-ray source (XS) operable to cause X-radiation to emanate from a focal spot (SF) of the source (XS) and an X-ray sensitive detector (D) operable to SMF detect the X-radiation after interaction of said X-radiation with an object to be imaged, if present, between the X-ray source and the detector (D). A control logic (CL) is operable to cause the X-ray imaging apparatus to operate in any one of two modes, an object image acquisition mode and a scattering measurement mode. When in scattering measurement mode, the X-radiation receivable at the detector comprises a higher proportion of scattering radiation than in X-radiation receivable when the system is in object image acquisition mode.

Abstract: The invention relates to a system and a method for active grating position tracking in X-ray differential phase contrast imaging and dark-field imaging. The alignment of at least one grating positioned in an X-ray imaging device is measured by illuminating a reflection area located on the grating with a light beam, and detecting a reflection pattern of the light beam reflected by the reflection area. The reflection pattern is compared with a reference pattern corresponding to an alignment optimized for X-ray differential phase contrast imaging, and the X-ray imaging device is controlled upon the comparison of the reflection pattern and the reference pattern.

Abstract: The invention relates to a system and a method for active grating position tracking in X-ray differential phase contrast imaging and dark-field imaging. The alignment of at least one grating positioned in an X-ray imaging device is measured by illuminating a reflection area located on the grating with a light beam, and detecting a reflection pattern of the light beam reflected by the reflection area. The reflection pattern is compared with a reference pattern corresponding to an alignment optimized for X-ray differential phase contrast imaging, and the X-ray imaging device is controlled upon the comparison of the reflection pattern and the reference pattern.

Abstract: A grating structure is provided with arc-shaped stabilizing bridging structures on the lamellae that allow for bending the grating to account for stresses and deformations induced by the bending process to obtain a more stable curved grating structure more efficiently.

Abstract: An imaging system combines a probe for obtaining image data in respect of a structure of interest below a surface of a subject, a first camera for obtaining images of the surface of the subject and a second camera for capturing images of the environment. A surface model of the subjects surface is obtained, and the position and/or orientation of the probe is tracked on the surface. Image data acquired at different positions and orientations is stitched based on the tracked position of the probe.

Abstract: Augmented reality (AR) servicing guidance uses a mobile device (30, 90) with a display and a camera. Computer vision (CV) processing (102) such as Simultaneous Location and Mapping (SLAM) is performed to align AR content (80) with a live video feed (96) captured by the camera. The aligned AR content is displayed on the display of the mobile device. In one example, the mobile device is a head-up display (HUD) (90) with a transparent display (92, 94) and camera (20). In another example the mobile device is a cellphone or tablet computer (30) with a front display (34) and a rear-facing camera (36). The AR content (80) is generated by CV processing (54) to align (70) AR content with recorded video (40) of a service call. The aligning (72) includes aligning locations of interest (LOIs) identified in the recorded video of the service call by a user input.