Koninklijke Philips Corporation N.v.

Joerg Sabczynski

Rafael Wiemker

Thomas Koehler

Cornelis Petrus Hendriks

Kirsten Regina Meetz

Jaap Roger Haartsen

Michael Polkey

Thomas Buelow

Heinrich Schulz

Roberto Buizza

Michael Grass

Sascha Krueger

Steffen Renisch

Kiran Hamilton J Dellimore

Ingwer Curt Carlsen

Hans Barschdorf

Dominik Benjamin Kutra

Roland Johannes Opfer

Waldemar Zylka

Tobias Klinder

Vincent Jeanne

Cristian Lorenz

Jens Von Berg

Stewart Young

Julien Senegas

Daniel Wirtz

Peter Forthmann

Martin Bergtholdt

Lilla Boroczky

Christian Buerger

Thomas Blaffert

Sven Kabus

Nicole Schadewaldt

Sebastian Peter Michael Dries

Torbjorn Vik

Pavankumar Murli Dadlani Mahtani

Stefan Winter

Holger Timinger

Nataly Wieberneit

Thirukumaran Thangaraj Kanagasabapathi

Pradyumna Dutta

Colleen Michelle Ennett

Paola Karina Tulipano

Joern Borgert

Jens Berg

Dominik Berjamin Kutra

Rita Priori

Jingyu Zhang

Beant Kaur Dhillon

An intubation assistance device includes an electronic controller configured to: identify, from one or more images of a patient, information about the patient including at least a diameter of a trachea and a length of an intubation pathway; determine a recommended ETT size including an ETT diameter and an ETT depth of insertion from the determined diameter of the trachea and the determined length of the intubation pathway; and display the recommended ETT size on a display device.

Imaging-based sizing optimization of endotracheal tube for mechanical ventilation

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

An intubation assistance device includes an electronic controller configured to: generate a patient respiratory tract geometry model of at least a portion of a human respiratory tract by inputting one or more patient variables into a statistical shape model (SSM) of at least a portion of the human respiratory tract; select a recommended endotracheal tube (ETT) size by modeling at least one ETT model inserted into the patient respiratory tract geometry model to form a virtual fit model and estimating at least one fit parameter based on the virtual fit model; and display the recommended ETT size on a display device.

Endotracheal tube size selection and insertion depth estimation using statistical shape modelling and virtual fitting

There is provided a computer-implemented method () and apparatus for determining a transformation for anatomically aligning fragments of a broken bone. An image of the broken bone of the subject is acquired (). The bone is broken into two or more fragments. A model of a corresponding unbroken bone and at least one parameter is acquired. The at least one parameter defines one or more deformations to the model that are permitted when fitting portions of the model of the unbroken bone to corresponding fragments of the broken bone (). Portions of the model of the unbroken bone are fit to corresponding fragments of the broken bone based on the at least one parameter (). A transformation is determined that anatomically aligns the fragments of the broken bone with the corresponding portions of the model ().

Transformation determination for anatomically aligning fragments of a broken bone

A contact-free method of determining biometric parameters and physiological parameters of a subject of interest () to be examined by a medical imaging modality (), comprising steps of taking () a picture by a first digital camera () including a total view of an examination table (); applying () a computer vision algorithm or an image processing algorithm to the picture for determining a biometric parameter of the subject of interest () in relation to the examination table (); taking () at least one picture with a second digital camera (), whose field of view () includes a region of the subject of interest () that is related to the at least one determined biometric parameter; using data indicative of the determined biometric parameter to identify () a subset of pixels of the at least one picture taken by the second digital camera () that define a region of interest () from which at least one physiological parameter of the subject of interest () is to be determined, taking () a plurality of pictures of the region of the subject of interest () with the second digital camera (), and applying () a computer vision algorithm or an image processing algorithm to pictures of the plurality of pictures taken by the second digital camera () for calculating the region of interest () in the pictures of the plurality of pictures for determining the physiological parameter of the subject of interest () during examination; a camera system () for determining, in a contact-free way, biometric parameters and physiological parameters of a subject of interest () to be examined by use of a medical imaging modality () and using such method; and&#x2014;a medical imaging modality () configured for acquisition of scanning data of at least a portion of a subject of interest (), the medical imaging modality () comprising such camera system.

MR fingerprinting for determining performance degradation of the MR system

An image processing system, comprising an input interface (IN) for receiving a plurality of input images acquired of test objects. The system further comprises a material type analyzer (MTA) configured to produce material type readings at corresponding locations across said input images (IM(CH)). A statistical module (SM) of the system is configured to determine based on said readings an estimate for a probability distribution of material type for said corresponding locations.

Generation and personalization of a statistical breast model

A system () for personalization of patient pathways and treatment options includes a patient information database () which stores patient data relating to a patient's medical records. A patient personalization system () receives the patient's lifestyle values and preferences and evaluates choices of pathways and treatments and a clinical decision support system () generates choices of pathways and treatments from the patient data and the patient's lifestyle values and preferences.

Personalizing patient pathways based on individual preferences, lifestyle regime, and preferences on outcome parameters to assist decision making

A tracking system for a target anatomy of a patient can include a medical device having a body () having a distal end () and at least one channel () formed therein, where the body is adapted for insertion through an anatomy () to reach a target area (); an accelerometer () connected to the body and positioned in proximity to the distal end; an imaging device () operably coupled with the body; and a light source () operably coupled with the body, where the accelerometer is in communication with a remote processor () for transmitting acceleration data thereto, where the imaging device is in communication with the remote processor for transmitting real-time images thereto, and where an orientation of the medical device and calibration of direction with respect to the anatomy is determined by the processor based on the acceleration data.

Method and apparatus for tracking in a medical procedure

A method and related system (IPS) to support definition of a sub-volume (SV) in an initial image volume (IV).

Virtual interactive definition of volumetric shapes

An oncology monitoring system comprises: an image analysis module () configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B, B, B, B, B, B, B, B, B, B, B, B, B, B, B) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B) responsive to selection of the graphical block by a user.

PET/CT based monitoring system supported by a clinical guideline navigator

The present invention provides for means for linking breast lesion locations across imaging studies. In particular, a generic three-dimensional representation of the female breast is used. Automatic translation of the lesion location into standard clinical terminology and aligning the breast model with individual patient images is comprised. Moreover, a mechanism for linking image locations showing a lesion to a location in the breast model is presented. If desired, a region of interest can be calculated by a region of interest definition module that predicts a region of interest of a known lesion in terms of the breast model representation in a new imaging study.

Linking breast lesion locations across imaging studies

A system for planning radiation treatment therapy is provided. An optical sensor device is implanted within or in close proximity to a risk region within the patient during a radiation delivery. The sensor device optically monitors the orientation of the risk region, and the radiation dosage received by the risk region, during the radiation delivery. That information may be used as appropriate to modify an on-going radiation delivery plan in real time while the plan is being implemented.

System for planning radiation treatment therapy

The invention relates to a device and a method for the determination of the position of a catheter in a vascular system (). In this, the measured positions (r, r) of two magnetic localizers at the tip of a catheter are displaced by correction vectors (k, k) while optimizing a quality dimension. The quality dimension includes a component taking account both of the deviation of the measured positions (r, r) from the vascular layout and of the deviation of the associated orientation (r&#x2212;r) from the orientation of the vascular layout according to a vascular map. In addition, the quality dimension may include components which evaluate the measured shape of the catheter compared to the vascular map. An additional correction step can further ensure that the corrected positions (r', r&#x2033;) correspond to the preset fixed distance (d) of the localizers ().

Device and method for the determination of the position of a catheter in a vascular system

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Norderstedt, Germany

Joerg Sabczynski