Koninklijke Philips Corporation N.v.

Koninklijke Phiilps N.v.

Jacek Lukasz Kustra

Guillaume Leopold Theodorus Frederik Hautvast

Dimitrios Mavroeidis

Sergio Consoli

Aaldert Jan Elevelt

Dirk Binnekamp

Ralf Hoffmann

Volkmar Schulz

Harry Broers

Wilhelmus Josephus Box

Alfonso Agatino Isola

Karl Catharina Van Bree

Monique Hendriks

Pieter Christiaan Vos

Ralph Theodorus Hubertus Maessen

Johan Janssen

Zoi Tokoutsi

Marco Baragona

Willem Potze

Aditya Mehendale

Antonius Maria Rijken

Stefan Pfundtner

Petrus Carolus Maria Frissen

Peter Prinsen

Maria Luiza Bondar

Stéphane Allaire

Aart Tijmen Van Halteren

Jacobus Sigbertus Marie Geraats

Arlette Van Wissen

Petrus Johannes Arnoldus Hubertus Kuijten

Ralf Dieter Hoffmann

Johanneke Gerrigje Groen

Dave Senden

Saskia Maria Camps

Antonius Leonardus Johannes Van Noort

Edmond Van Dijk

Teresa Nolte

Martin Grepl

Karen Veroy-grepl

Guido Theodorus Gerardus Volleberg

Karl Catharina Bree

John Cornelius Petrus Van Der Ven

Aaldert Jan Aaldert Jan Elevelt

Karen Veroy-Grepl

The invention relates to a planning apparatus () for determining an ablation probe parameter. A thermal energy determination unit determines, in a first part of a planning procedure, a first thermal energy distribution by using a thermal energy function like a Bioheat equation such that a temperature-based condition is fulfilled, which is indicative of a desired treatment outcome for a subject (). An ablation probe parameter determination unit determines, in a second part, the ablation probe parameter by using a second thermal energy function, which relates a second thermal energy distribution to be caused by the ablation probe () to b) the ablation probe parameter, such that a deviation between the first thermal energy distribution and the second thermal energy distribution fulfils a predefined deviation criterion. This dissection into two parts allows for an improved adaptability of the determination of the ablation probe parameter to different types of ablation procedures.

Planning apparatus for determining an ablation probe parameter for a single ablation probe or for multiple ablation probes

The invention provides a method for evaluating a set of input data, the input data comprising at least one of: clinical data of a subject; genomic data of a subject; clinical data of a plurality of subjects; and genomic data of a plurality of subjects, using a deep learning algorithm. The method includes obtaining a set of input data, wherein the set of input data comprises raw data arranged into a plurality of data clusters and tuning the deep learning algorithm based on the plurality of data clusters. The deep learning algorithm comprises: an input layer; an output layer; and a plurality of hidden layers. The method further includes performing statistical clustering on the raw data using the deep learning algorithm, thereby generating statistical clusters and obtaining a marker from each statistical cluster. Finally, the set of input data is evaluated based on the markers to derive data of medical relevance in respect of the subject or subjects.

Evaluating input data using a deep learning algorithm

The invention relates to a system for assisting a user in positioning a thermal ablation device () on the basis of a planned ablation position. The system comprises an evaluation unit () adapted to (i) compute an optimized thermal dose distribution deliverable to the treatment region by means of the device () operating at a current position thereof, (ii) determine a path for steering the device () from the current position to the planned position and to assign a cost to the determined path, the cost quantifying estimated detrimental effects of steering the device () along the computed path, and (iii) present information about the optimized thermal dose distribution and about the cost assigned to the computed path to the user.

Assisting in positioning a thermal ablation device

The invention relates to a therapy planning device for planning a therapy to be applied to tissue of a subject (). A tissue parameter distribution, which has been generated based on a magnetic resonance fingerprint scan of the tissue, and a therapy goal distribution, which defines a distribution of at least one parameter being indicative of a desired effect of the therapy, are provided. A machine learning module (), which has been trained to output at least one therapy application parameter defining the application of the therapy based on an input tissue parameter distribution and an input therapy goal distribution, is used for planning the therapy by determining the at least one therapy application parameter based on the provided tissue parameter distribution and the provided therapy goal distribution. This allows for a consideration of the actual quantitative tissue parameter distribution of the patient, thereby improving planning quality.

Therapy planning device

The present invention relates to an ultrasound imaging system () for producing spatially compounded 3D ultrasound image data, comprising: &#x2014;an ultrasound acquisition unit () for acquiring a plurality of 3D ultrasound image data having different but at least partially overlapping field of views, &#x2014;a tracking unit () adapted to determine a relative spatial position of each of the plurality of 3D ultrasound image data with respect to each other, and &#x2014;a stitching unit () adapted to compound the plurality of 3D ultrasound image data by stitching them to each other in order to generate compounded 3D ultrasound image data, wherein the stitching unit () is adapted to calculate a stitching order of the plurality of 3D ultrasound image data based on the determined relative spatial position of the 3D ultrasound image data by minimizing an overlapping area of the different field of views of the plurality of 3D ultrasound image data, and wherein stitching unit () is adapted to stitch the plurality of 3D ultrasound image data according to said stitching order.

Ultrasound imaging system and method for compounding 3D images via stitching based on point distances

A method of clustering or grouping subjects that are similar to one another. A dataset contains, for each subject, a set of quantitative values which each represent a respective clinical or pathological feature of that subject. A principal component analysis, PCA, is performed on the dataset. Loadings of one of the first two principal components identified by the PCA are used to generate a respective dataset of weighting values. These weighting values are used to weigh or modify each set of quantitative values in the dataset. A clustering algorithm is performed on the weighted sets of subject data. The process may be iterated until user-defined stopping conditions are satisfied.

Subject clustering method and apparatus

An ultrasound probe positioning system () comprises a positioning unit () for holding an ultrasound probe unit () and for moving the ultrasound probe unit and positioning it at a target position and a positioning control unit () configured to provide target positioning data indicative of a target position that establishes a mechanical contact of the ultrasound probe unit with an external object () and to control the mechanical positioning unit in moving and positioning the ultrasound probe at the target position. The positioning unit comprises a force actuation unit () configured to adapt a pressing force amount of a mechanical pressing force exerted on the object in response to a variation of a counterforce amount so as to maintain a predetermined net pressing force amount exerted by the mechanical pressing force against the counterforce.

Ultrasound probe positioning system and method of hands-free controlling the pressure applied by an ultrasound probe to an external object

The invention relates to a system and method for tracking at least one anatomic structure by means of an image-registration based tracking procedure using at least one parameter, where the anatomic structure includes a plurality of implanted markers. A parameter setting () unit is configured to determine measured positions of the implanted markers in each image of a series of images acquired using an imaging unit (), and to perform an optimization procedure to determine an optimized value of the at least one parameter on the basis of deviations between the measured and calculated positions. Then, the position of the anatomic structure is tracked in further images by means of the tracking procedure using the optimized value of the at least one parameter.

Calibration of image-registration based tracking procedures

There is provided an apparatus and a method of operating the apparatus for providing feedback to a participant directing a communication to one or more other participants. The apparatus () comprises a processor () configured to acquire, from one or more physiological characteristic sensors (), one or more physiological characteristic signals from at least one participant to which the communication is directed as the communication is received by the at least one participant. The processor () is also configured to determine a measure of the quality of the communication based on a comparison of the one or more physiological characteristic signals acquired from the at least one participant with one or more expected physiological characteristic signals and control a user interface () to provide feedback of the determined quality measure of the communication to the participant directing the communication to the at least one participant.

Apparatus and method for providing feedback to a participant of a communication

A device () configured to detect the presence of metal artifacts in a patient's eye includes a head mount () configured to receive at least a portion of the patient's head. At least one inductor coil () is disposed on or in the head mount and positioned to inductively couple with at least one eye of the patient's head received into the head mount. An inductance meter () is operably connected to the at least one inductor coil to measure an inductance as a change of frequency of the at least one inductor coil. A processor () is programmed to: determine whether the inductance is greater than an inductance threshold value; and generate an indication of at least one metal artifact when the inductance is greater than the inductance threshold value. A display component () is configured to display the indication.

Detection of metal artifacts in patients eyes prior to MRI examinations

It is an object of the invention to provide for a system that can be used to improve a cancer related clinical workflow compared to the current cancer related clinical workflow. This object is achieved by an image guided system configured for supporting a combined biopsy and treatment procedure using image guidance to bring a needle from a defined location to a predetermined end location in a subject of interest. The image guidance system comprises a medical imaging system () configured for acquisition of medical images of a region of interest () in the subject of interest, wherein the medical images are used to determine a current position of the predetermined end location (). The image guidance system further comprises needle guidance system () configured for defining a needle position in space and thereby defining the defined location () and configured for guiding a biopsy and treatment needle into the region of interest. The image guidance system also comprises a user interface system () configured for supporting both the biopsy and treatment procedure, such that a patient setup needs to be executed only once. The user interface system () comprises a calibration unit () for aligning the needle guidance system () with the medical images.

Image guidance system

A dose planning system includes a biopsy map creation module configured for receiving biopsy information for an organ of interest regarding biopsy locations and tissue characteristics of tissue found at the biopsy locations and creating a spatially annotated biopsy map for the organ, by linking the spatial information on the biopsy locations to the tissue characteristics of tissue found at the corresponding biopsy locations. A probability map calculation module is configured for creating a tumor probability map by calculating a tumor probability for locations in the organ from which no biopsy was taken by using the tumor and/or tissue characteristics from the biopsy locations and a dose planning module configured for creating a dose plan based on the tumor probability map. The planning constraints are such that on average a higher tumor probability results in a higher planned dose and a lower tumor probability results in a lower planned dose.

Dose planning system

The present application relates to a shaving guidance system () for guiding a user during a shaving procedure, the system comprising an image sensor () configured to register an image of a part of the body of the user, an image data analyzer () configured to determine a local hair-growth direction based on data in the image, a controller () configured to generate instructions about a direction in which a hair cutting device () is to be moved in dependence on the determined local hair-growth direction, and a feedback system () configured to provide the instructions to the user.

System and a method for guiding a user during a shaving procedure

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Eindhoven, Netherlands

Jacek Lukasz Kustra