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 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: The present invention relates to multispectral imaging. In order to improve an identification of relevant multispectral material transitions (in particular caused by injected contrast agent), an apparatus is proposed to use the local maxima of the variances and/or covariances of the intensities of the multi-channel images to locate material transitions. In comparison to gradient vectors, the local variance is not directed and not prone to noise. An alternative apparatus is proposed to use the local covariance deficits of the intensities of the multi-channel images to locate material transitions. The proposed alternative approach is independent of spatial drifts across the image volume.

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: Presented are concepts for obtaining a confidence measure for a machine learning model. One such concept process input data with the machine learning model to generate a primary result. It also generate a plurality of modified instances of the input data and processes the plurality of modified instances of the input data with the machine learning model to generate a respective plurality of secondary results. A confidence measure relating to the primary result is determined based on the secondary results.

Abstract: A mechanism for reducing the appearance of tagged elements in a medical image. This is achieved by processing the medical image to generate a separate, suppression image that contains only the tagged elements. The medical image and the suppression image are then combined to reduce the appearance of the tagged elements in the medical image. This can be achieved through modification of the suppressed image, before the combination, and/or weighting of the medical image and the suppression image during combination.

Abstract: The present invention relates to edge restoration. In order to improve a restoration of the artificially created cleansed edges, an apparatus is proposed to automatically restore image edges after digital subtraction of digital material substitution to optimally resemble image edges in unmodified locations. The appearance of edges is machine-learned in an unsupervised non-analytical way from unmodified locations, and then, after digital suppression or digital material substitution, applied to the artificially created cleansed edges.

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 method for visualization may include: obtaining data of a first perfusion measure of myocardial tissues of a patient; obtaining data of a geometry of a coronary artery of the patient; obtaining data of a second perfusion measure of the coronary artery; obtaining data of a flow impediment measure along the coronary artery based on the data of the second perfusion measure of the coronary artery; and visualizing, on a single image, the first perfusion measure of the myocardial tissues and the coronary artery, the coronary artery being overlaid with the first perfusion measure on the single image, the visualized coronary artery representing the geometry of the coronary artery and the flow impediment measure along the coronary artery.

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: A method for generating an image representation of slices through a body based on tomographic imaging data for the body. The method comprises processing reconstructed tomographic image slices to selectively embed in each slice image information from at least one 3D volume rendering of the slice plane within the 3D tomographic image dataset. This is done through a selection process wherein, based on a set of pre-defined criteria, a decision is made for each pixel in each reconstructed tomographic slice as to whether the pixel value should be replaced with a new, modified pixel value determined based on the at least one volume rendering. This may comprise simply swapping the pixel value for the value of the corresponding pixel value in the volume rendering, or it may comprise a more complex process, for instance blending the two values, or adjusting a transparency of the pixel value based on the at least one volume rendering.

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 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: 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: 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: 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.