Abstract: A method for automated detection of water accumulation in a ventilator, comprising: (i) a plurality of iterations of: calculating an airway pressure water accumulation index; calculating a flow water accumulation index; labeling, using a trained asynchrony detection algorithm, the single breath of the patient as synchronous or asynchronous, and ranking all of the input features based on an importance of each respective input feature to the synchronous or asynchronous determination; (ii) for the plurality of iterations; determining, a most frequent breath labeling, a most frequent most important input feature, and a most frequent most important input feature for each type of breath; and determining one or more of: (1) water accumulation and an action to remove the water accumulation; and (2) asynchrony due to a cause other than water accumulation, and an action to correct the asynchrony; and (iii) notifying a user of the determined action.

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: Systems and methods for determining airway impedance of a patient undergoing mechanical ventilation are disclosed. A controller including one or more electronic processors is configured to: receive an apparent airway impedance of a patient measured during an impedance estimation procedure by a mechanical ventilator; determine at least one cheek metric based on data received from at least one cheek sensor associated with the patient; determine a cheek impedance based on the at least one cheek metric; and determine a true airway impedance based on the apparent airway impedance and the cheek impedance.

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.

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 respiratory monitoring system with improved detection of oxygen consumption is described. The system uses one or two mixing chambers and samples gases at selective locations for reliable detection of oxygen over extended periods of time with autonomous detection of calibration drift. The system can be used for indirect calorimetry and monitoring health of a subject.

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 mechanical ventilation device comprising at least one electronic controller configured to receive imaging data and transpulmonary pressure data associated with a lung of a patient; perform deformable image registration of the inhalation image and the exhalation image to produce a relative compliance or elasticity map of the lungs; convert the relative compliance or elasticity map of the lungs to a quantitative compliance or elasticity map of the lungs based on the inhale transpulmonary pressure and the exhale transpulmonary pressure; and display the information relating to or derived from the quantitative compliance or elasticity map on a display device.

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 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 non-transitory computer readable medium stores instructions executable by at least one electronic processor to perform an ultrasound monitoring method. The ultrasound monitoring method includes receiving at least one ultrasound image of a target tissue of a patient (P) acquired using an ultrasound imaging probe positioned at a target position on the patient; determining at least one data acquisition and/or data processing parameter based on the at least one ultrasound image of the target tissue acquired using the ultrasound imaging probe; and monitoring the target tissue of the patient including acquiring tissue data of the patient using an ultrasound patch comprising at least one ultrasound transducer placed at the target position on the patient and using the at least one data acquisition and/or data processing parameter.

Abstract: A diaphragm measurement device includes at least one electronic processor programmed to perform a diaphragm measurement method 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; 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, a representation of the calculated diaphragm thickness metric.

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 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 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: 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: An embodiment includes a ventilator system that corrects oxygen sensor measurements, for example derived from an oxygen sensor in a mixing chamber of an indirect calorimeter or oxygen consumption (VO2) monitoring device. In an example, an embodiment determines fractional inspired oxygen drift as supplied by a ventilator and utilizes the change or change rate in fractional inspired oxygen over time to correct VO2 determinations made by the system.

Abstract: The present disclosure pertains to a system for metabolic measurements, the system comprising: a metabolic monitor configured to determine first concentration measurements of O2 and CO2 in a portion of gas exhaled by a subject during one or more breaths; and determine a first rate of O2 consumption (VO2) and a first CO2 volume production (VCO2) of the subject during the one or more breaths based on the determined first O2 concentration and the determined first CO2 concentration; a CO2 monitor configured to determine second CO2 concentration measurements in the exhaled gas during the one or more breaths; and determine second CO2 volume production (VCO2) of the subject based on the measured second CO2 concentration; and processors configured to determine a correction factor based on the determined first VCO2 and the second VCO2; and determine a corrected first VO2 using the correction factor and the first VO2.