Koninklijke Philips Corporation N.v.

Roberto Buizza

Cornelis Petrus Hendriks

Michael Polkey

Thomas Koehler

Rafael Wiemker

Joerg Sabczynski

Jaap Roger Haartsen

Stefan Winter

Nataly Wieberneit

Rita Priori

Balasundar Iyyavu Raju

Francesco Vicario

Antonio Albanese

Nicolas Wadih Chbat

William Anthony Truschel

Seyedali Sadeghi

Nikolaos Karamolegkos

Jochen Kruecker

Sven Peter Prevrhal

Claudia Errico

Shyam Bharat

Samer Bou Jawde

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.

Lung diagnosis using dynamic X-ray imaging

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.

Accurate diaphragm thickness and function evaluation using ultrasound and mechanical ventilator signals

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.

Mechanical ventilator configuration for mechanical ventilation of a patient with limited or no imaging data of the patient

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.

Inter- and extrapolation of chest image and mechanical ventilation settings into a time lapse series for progression monitoring and outcome prediction during long term mechanical ventilation

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Eindhoven, Netherlands

Roberto Buizza