Abstract: A medical imaging device includes a display device; and at least one electronic processor programmed to perform an imaging method including controlling an associated medical imaging device to acquire a dynamic lung image including a time sequence of lung images depicting at least one lung of the patient; separating the dynamic lung image into a dynamic respiration image depicting density changes due to respiration and a dynamic perfusion image depicting density changes due to lung perfusion; at least one of: (i) generating a respiration delay image based on the dynamic respiration image; and (ii) generating a perfusion delay image based on the dynamic lung perfusion image; and displaying the respiration delay image and/or lung perfusion delay image on the display device.

Abstract: A medical image processing device includes a display device; and an electronic processor programmed to perform a medical image processing method including receiving a three dimensional (3D) medical image; computing least one 3D derivative image of the 3D medical image; identifying a set of fibers in the 3D medical image by tracing fibrous image features in the at least one 3D derivative image starting from respective seed locations in the least one 3D derivative image; and controlling the display device to display an anatomical representation comprising or derived from the set of fibers.

Abstract: X-ray sources emit X-rays into an examination region along different projection views. An X-ray detector array detects the X-rays emitted by the X-ray sources after passing through the examination region. X-ray imaging data are acquired by cycling through the X-ray sources with each step of the cycle including: switching an active X ray source on to emit X-rays and the other X ray sources off to not emit X rays, and acquiring X ray imaging data along the projection view corresponding to the active X-ray source that is switched on. Tomosynthesis image reconstruction is performed on the X ray imaging data to generate at least one volumetric image. A time sequence of spatially aligned images is produced from the time sequence of volumetric images. A perfusion image and/or a ventilation image is generated based on voxel intensity variation over time of the time sequence of spatially aligned images.

Abstract: A mechanical ventilation device includes at least one electronic controller configured to receive two or more respiratory data streams, each spanning multiple breath cycles; generate a confidence band over a breath cycle for each data stream based on statistics of the data stream determined from the multiple breaths spanned by the data stream; and on a display, plot the confidence bands for the data streams on a common graph.

Abstract: A proning assessment method includes determining, from received respiratory and/or body position data, a flipping time (tflipping) when a patient is placed in a partial or full prone position; determining a target imaging time (timg,target) for acquiring imaging data to assess an impact of proning on mechanical ventilation therapy as the flipping time (tflipping) plus a predetermined time interval (?t); receiving at least one lung image of at least one lung of the patient, the at least one lung image being timestamped with an image acquisition time (timg,actual); and at least one of: (i) displaying the at least one lung image; and/or (ii) analyzing the at least one lung image to generate a proning recommendation for the patient, and displaying, on a display device, a representation of the proning recommendation.

Abstract: A respiration monitoring device includes at least one electronic processor programmed to perform a respiration monitoring method including receiving ultrasound imaging data of a diaphragm of a patient as a function of time during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; receiving respiratory data of the patient as a function of time during the inspiration and expiration while the patient undergoes the mechanical ventilation therapy; calculating an intrinsic positive end-expiratory pressure (iPEEP) value for the patient based on the ultrasound imaging data and the respiratory data; and displaying, on a display device, a representation of the calculated iPEEP value.

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 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: 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: 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 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: The present disclosure pertains to a system and method for monitoring lung disease in a patient that is based on information that is derivable from home therapy devices including a ventilation therapy device and an oxygen saturation monitor such as a pulse oximeter. The measured parameters are used to model shunt fraction and a volume of dead space. Based on changes in gas exchange and results of a nitrogen washout test, a change in gas exchange impairment in the patient is observed and is then used to determine progression of a disease, identify a cause of the impairment, and/or to guide treatment of the patient.

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 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: 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.

Abstract: A respiratory monitoring device includes an electronic controller configured to: analyze an audio signal triggered during inspiratory and expiratory phases of a patient receiving mechanical ventilation therapy from a mechanical ventilator, the audio signal being acoustically coupled into the airway of the patient, to determine resonant frequencies of the airway; determine a shift in the resonant frequencies between the inspiratory and expiratory phases to determine a presence of pendelluft inside of a lung of the patient; and output an indication of the presence of pendelluft.