Abstract: A mechanical ventilation assessment assistance device includes at least one electronic processor; and a non-transitory storage medium storing instructions readable and executable by the at least one electronic processor to perform a mechanical ventilation assessment assistance method including obtaining an image of a patient (P) receiving mechanical ventilation; generating or updating a patient-specific lung model of at least one lung of the patient based on the obtained image; simulating a response of the patient to a mechanical ventilation therapy using the generated or updated patient-specific lung model; comparing the simulated response with an actual response of the patient to the mechanical ventilation therapy; based on the comparison, determining an imaging recommendation for acquiring an image of at least one lung of the patient; and outputting the determined imaging recommendation.

Abstract: A method is provided for recording or representing captured ultrasound-derived information. The method is based on obtaining positioning information related to an ultrasound probe during execution of an ultrasound examination, and using this to associate captured data samples, or information derived therefrom, with anatomical position information for the data samples. The link between the two is achieved using an anatomical model which can relate probe surface position with anatomical body structure underlying the surface. A map can be generated of the obtained data as a function of position across the surface of the anatomical body. i.e. effectively a projection of the data onto the object 2D surface.

Abstract: A mechanical ventilation device includes an electronic controller (13) configured to: receive imaging data (22) and ventilator data associated with lungs of a patient while the patient undergoes mechanical ventilation therapy with an associated mechanical ventilator (2); determine a respiratory pressure of the patient based at least on the received ventilator data; determine a lung volume and a lung flow for at least one region of the lungs based on lung sliding data determined from the received imaging data and the determined respiratory pressure; determine a regional resistance and elastance for the at least one region of the lungs from the lung volume and the lung flow for the at least one region; and display the regional resistance and elastance for the at least one region of the lungs on a display device (14).

Abstract: A respiration monitoring device for monitoring a respiratory system of a patient includes an electronic controller configured to receive first ultrasound imaging data as a function of time acquired of a first portion of the respiratory system of the patient over a first time interval; receive second ultrasound imaging data as a function of time acquired of a second portion of the respiratory system of the patient over a second time interval wherein the second portion of the respiratory system of the patient is contralateral to the first portion of the respiratory system of the patient; and present a graphical user interface (GUI) displaying a visualization including simultaneous display of an image of the first portion of the respiratory system of the patient and an image of the second portion of the respiratory system of the patient respectively.

Abstract: A mechanical ventilation device includes at least one electronic controller configured to receive imaging data related to a dimension of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with an associated mechanical ventilator; calculate a pressure value (Pl, DPl) of a chest of the patient based on at least the imaging data; and when the calculated pressure value (Pl, DPl) does not satisfy an acceptance criterion, at least one of output an alert indicative of the calculated pressure value (Pl, DPl) failing to satisfy the acceptance criterion; and output a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient.

Abstract: A diaphragm imaging device includes at least one electronic processor programmed to perform a diaphragm imaging method including receiving ultrasound imaging data of a diaphragm of a patient, the ultrasound imaging data being acquired by an associated ultrasound imaging probe with the probe at a plurality of different observable probe angles (?obs); for each observable probe angle, determining a corresponding apparent thickness (dI) of the diaphragm of the patient from the received ultrasound data acquired at that observable probe angle; and estimating a thickness (dD) of the diaphragm of the patient based at least on the apparent thicknesses (dI).

Abstract: A method for identifying a material boundary within volumetric image data is based on use of a model boundary transition function, which models the expected progression of voxel values across the material boundary, as a function of distance. Each voxel is taken in turn, and voxel values within a subregion surrounding the voxel are fitted to the model function, and the corresponding fitting parameters are derived, in addition to a parameter relating to quality of the model fit. Based on these parameters for each voxel, for each of at least a subset of the voxels, a candidate spatial point is identified, estimated to lie on the material boundary within the 3-D image dataset. The result is a cloud of candidate spatial points which spatially correspond to the outline of the boundary wall. Based on these, a representation of the boundary wall can be generated, for example a surface mesh.

Abstract: A diaphragm measurement device includes a non-transitory storage medium storing a patient-specific registration model for referencing ultrasound imaging data to a reference frame. At least one electronic processor is programmed to perform a diaphragm measurement method including receiving ultrasound imaging data of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm of the patient referenced to the reference frame using the patient-specific registration model; and displaying, on a display device, a representation of the calculated diaphragm thickness metric.

Abstract: A mechanical ventilation assistance device includes at least one electronic controller configured to receive positional data of a patient; determine a position of an imaging device configured to obtain imaging data of the patient based on the received positional data; and display, on a display device, a representation of the determined position of the imaging device.

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: A diaphragm measurement system (1) includes at least one electronic processor (13) programmed to perform a diaphragm measurement method (100) including receiving ultrasound imaging data (24) of a diaphragm of a patient over a time period encompassing multiple breaths; receiving respiration data of the patient over the time period; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm and the received respiration data; and displaying, on a display device (14), a representation (30) of the calculated diaphragm thickness metric.

Abstract: A diaphragm measurement device (1) includes at least one electronic processor (13) programmed to perform a diaphragm measurement method (100) including receiving ultrasound imaging data of a dimension of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator (2); receiving respiratory data of the patient during inspiration and expiration while the patient undergoes the mechanical ventilation therapy; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm of the patient and the received respiratory data; and displaying, on a display device (14), a representation (30) of the calculated diaphragm thickness metric.

Abstract: A medical device for treating an associated patient includes a bronchial sensor device configured to measure fluid pressure in a bronchus of the associated patient; and an electronic controller configured to: receive the fluid pressure data from the bronchial sensor device; and calculate a fluid flow measurement through the bronchus based on the measured fluid pressure.

Abstract: A non-transitory storage medium stores instructions readable and executable by at least one electronic processor to receive clinical data for a current patient (P); search a database of CT scans and/or patient-specific mechanical ventilation models for other patients using the clinical data for the current patient as a search criterion to identify a similar patient in the database and similar patient data (S) comprising a CT scan and/or a patient-specific mechanical ventilation model for the similar patient; determine a patient-specific mechanical ventilation model for the current patient based on the CT scan and/or patient-specific mechanical ventilation model for the similar patient; generate ventilator configuration data for mechanically ventilating the current patient based on the determined patient-specific mechanical ventilation model for the current patient.

Abstract: An ultrasound system is disclosed comprising an ultrasound transducer array (100) comprising a plurality of ultrasound transducer cells (130), each of said cell having an independently adjustable position and/or orientation such as to conform an ultrasound transmitting surface of the cell to a region of a body and a controller (140). The controller is configured to register the respective ultrasound transducer cells by simultaneously operating at least two ultrasound transducer cells in a transmit mode in which the cells transmit distinguishable ultrasound signals and operating the remaining ultrasound transducer cells in a receive mode.

Abstract: A System for image processing (IPS), in particular for lung imaging. The system (IPS) comprises an interface (IN) for receiving at least a part of a 3D image volume (VL) acquired by PAT an imaging apparatus (IA1) of a lung (LG) of a subject (PAT) by exposing the subject (PAT) to a first interrogating signal. A layer definer (LD) of the system (IPS) is configured to define, in the 3D image volume, a layer object (LO) that includes a representation of a surface (S) of the lung (LG). A renderer (REN) of the system (IPS) is configured to render at least a part of the layer object (LO) in 3D at a rendering view (Vp) for visualization on a display device (DD).

Abstract: A medical device for treating an associated patient includes an electronic processing device configured to receive ventilation waveform data during mechanical ventilation of the associated patient and to perform a patient-ventilator asynchrony monitoring method including detecting initial patient-ventilator asynchrony events during a training period of the mechanical ventilation by analysis of measurements of the associated patient acquired during the training period; training a machine learning (ML) component to analyze ventilation waveform data to detect patient-ventilator asynchrony events using the ventilation waveform data received during the training period with labels indicating the initial patient-ventilator asynchrony events; applying the patient-specific ML component to the ventilation waveform data received after the training period to detect patient-ventilator asynchrony events occurring after the training period; and a display device configured to display an indication of patient-ventilator async

Abstract: The invention refers to an apparatus (110) for generating an augmented image comprising a) a base image providing unit (111), wherein the base image is generated based on a combination of spectral image data, b) a contrast image providing unit (112), wherein the contrast image is generated based on a different combination of the spectral image data, c) a degree of saliency determination unit (113), wherein the degree of saliency is indicative of a difference between an image value of a voxel of the contrast image and an image value of a corresponding voxel of a predetermined template image, and d) an augmented image generation unit (114) for generating an augmented base image of the object by augmenting voxels of the base image based on the degree of saliency. The invention allows to provide the augmented base image with an improved image quality and information content.

Abstract: A respiration monitoring device comprises an electronic controller configured to: receive an audio signal that is acoustically coupled with an airway of a patient receiving mechanical ventilation therapy from a mechanical ventilator; map the audio signal to one or more lung disease or injury condition categories; and at least one of: display the mapped one or more lung disease or injury condition categories on a display device; and determine a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient based at least on the mapped lung disease or injury condition categories and displaying the recommended adjustment on the display device.

Abstract: A mechanical ventilation device comprising at least one electronic controller is configured to receive images of lungs of a patient undergoing mechanical ventilation therapy with a mechanical ventilator, the images being acquired over time and having timestamps; process the images to generate timeline images at corresponding discrete time points; and display a timeline of the timeline images on a display device.