Patents by Inventor Arne Ewald
Arne Ewald has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20250228466Abstract: Disclosed herein is a medical system (100, 300, 500).Type: ApplicationFiled: July 5, 2023Publication date: July 17, 2025Inventors: Nicola Pezzotti, Fabian Wenzel, Johan Samuel Van den Brink, Rolf Jürgen Weese, Nick Flaeschner, Mariya Invanova Doneva, Arne Ewald
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Patent number: 12322045Abstract: The invention provides a method for refining a mapped surface mesh of a cardiac chamber. The method includes obtaining a mapped surface mesh of the cardiac chamber anatomy, wherein the mapped surface mesh comprises a central region representing a cardiac chamber and an outer region representing a peripheral cardiac structure connected to the cardiac chamber, and wherein the mapped surface mesh comprises a first view of an anatomical landmark within the cardiac chamber, and obtaining image data of a cardiac chamber anatomy of a subject. The central region of the mapped surface mesh is deformed based on a first segmentation algorithm configured according to one or more predetermined shape-constraints and the outer region of the mapped surface mesh is deformed based on a second segmentation algorithm configured according to the image data, thereby generating a deformed outer region. The deformed central region and the deformed outer region are then combined, thereby generating a refined mapped surface mesh.Type: GrantFiled: February 2, 2021Date of Patent: June 3, 2025Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Frank Michael Weber, Jochen Peters, Irina Waechter-Stehle, Arne Ewald, Matthias Lenga, André Goossen, Sebastian Wild, Tobias Wissel
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Publication number: 20250166795Abstract: A method for analyzing two medical images, including: receiving a first image along with weak annotation of the first image; receiving a second image; transferring the weak annotations to the second image; registering the first image to the second image based upon the weak annotations on the first image and the second image to produce registration parameters; aligning the received first image and received second image using the registration parameters; and retransferring the weak annotation to the second aligned image.Type: ApplicationFiled: January 19, 2023Publication date: May 22, 2025Inventors: ARNE EWALD, NICK FLAESCHNER, FABIAN WENZEL, WILLEM HUIJBERS, MARCO MATTERS, ROLF MATHIAS JOHANNES NICOLAAS LAMERICHS
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Publication number: 20250061568Abstract: A method for processing medical image information includes generating a first intensity distribution for a first image region, generating a second intensity distribution for a second image region, calculating values based on the first and second intensity distributions, and automatically determining a custom viewing window based on the calculated values. The custom viewing window is determined to display the first image region and the second image region, which may be in the same image or different images. The images may include brain scan images or other types of images.Type: ApplicationFiled: December 16, 2022Publication date: February 20, 2025Inventors: NICK FLAESCHNER, FABIAN WENZEL, ARNE EWALD, ELIZA TEODORA ORASANU
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Publication number: 20250054136Abstract: A computer implemented method of identifying changes in a subject's heart or an adjacent region over time. The method comprising: receiving a set of imaging data relating to a subject's heart that has been obtained at a plurality of points in time; generating an anatomical model of the subject's heart for each of the images in the set of imaging data so as to provide a set of anatomical models of the subject's heart corresponding to the plurality of points in time; and aligning each of the anatomical models in the set of anatomical models relative to one another so as to provide a set of aligned data of the subject's heart. The aligned data are for identifying changes in at least one region of the subject's heart by comparing the anatomical models in the set of aligned anatomical models using a machine learning model.Type: ApplicationFiled: December 9, 2022Publication date: February 13, 2025Inventors: Nils Thorben Gessert, Tanja Lossau, Jochen Peters, Frank Michael Weber, Irina Waechter-Stehle, Arne Ewald, André Gooßen, Alexandra Groth, Sebastian Wild
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Publication number: 20250054605Abstract: Disclosed herein is a medical system (100, 300, 400) comprising: a memory (110) storing machine executable instructions (120) and a computational system (104). Execution of the machine executable instructions causes the computational system to: receive (200) modified three-dimensional tomographic medical image data (122) that has been facially erased within a facial zone (128); fit (202) a model-based segmentation (126) to the modified three-dimensional tomographic medical image data, wherein the model-based segmentation comprises multiple surface meshes (602, 604, 606, 608, 700) that define anatomical regions (800); label (204) each of the voxels of a reconstructed region (130) of the modified three-dimensional tomographic medical image data with an anatomical label according to anatomical regions defined by the multiple surface meshes; and assign (206) a contrast value to voxels in the reconstructed region using the anatomical label to provide repaired three-dimensional tomographic medical image data (132).Type: ApplicationFiled: December 15, 2022Publication date: February 13, 2025Inventors: ARNE EWALD, FABIAN WENZEL, NICK FLÄSCHNER, STEFAN HAUFE
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Publication number: 20250045914Abstract: A method for processing medical information includes receiving an image slice of a brain including segmented regions, forming a first histogram of intensity values for the image slice, and forming a second histogram of intensity values for the image slice. A difference histogram is then generated based on the first and second histograms and the existence of an abnormality in the image slice is determined based on the difference histogram. The first histogram may correspond to a first segmented region in a first portion of the image slice, and the second histogram may correspond to a second segmented region in a second portion of the image slice which is complementary to the first portion. The first and second segmented regions may be, for example, segmented and labeled ASPECTS regions.Type: ApplicationFiled: December 2, 2022Publication date: February 6, 2025Inventors: FABIAN WENZEL, NICK FLÄSCHNER, ARNE EWALD, ELIZA TEODORA ORASANU
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Patent number: 12190562Abstract: The present disclosure relates to a medical imaging method, comprising: receiving (201) a set of subject parameters descriptive of a subject; in response to inputting (203) the set of subject parameters into a trained deep neural network, DNN, receiving (205) from the trained DNN a predicted task; presenting the task to the subject; controlling (207) an MRI system (700) for acquiring fMRI data from the subject in response to the predicted task performed by the subject during the acquisition.Type: GrantFiled: June 24, 2020Date of Patent: January 7, 2025Assignee: Koninklijke Philips N.V.Inventors: Arne Ewald, Rudolf Mathias Johannes Nicolaas Lamerichs, Nick Flaschner, Bernhard Gleich, Peter Boernert, Ingmar Graesslin, Johannes Adrianus Overweg
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Patent number: 12181552Abstract: The invention provides for a medical imaging system (100, 300). The medical imaging system comprises a memory (110) for storing machine executable instructions (120). The memory further contains an implementation of a trained convolutional neural network (122, 122?, 122?, 122??, 122??). The trained convolutional neural network comprises more than one spherical convolutional neural network portions (502, 502?). The trained convolutional neural network is configured for receiving diffusion magnetic resonance imaging data (124). The diffusion magnetic resonance imaging data comprises a spherical diffusion portion (500, 500?). The more than one spherical convolutional neural network portions are configured for receiving the spherical diffusion portion. The trained convolutional neural network comprises an output layer (508) configured for generating a neural network output (126) in response to inputting the diffusion magnetic resonance imaging data into the trained convolutional neural network.Type: GrantFiled: November 19, 2019Date of Patent: December 31, 2024Assignee: Koninklijke Philips N.V.Inventors: Evan Schwab, Arne Ewald
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Patent number: 12102482Abstract: The invention provides for a method for switching between fields of view of an ultrasound probe. The method begins by obtaining an anatomical model representing a region of interest of a subject and establishing a first field of view relative to an ultrasonic probe, wherein the first field of view comprises an initial portion of the region of interest. Ultrasound data is then obtained from the first field of view by way of the ultrasonic probe and a first anatomical feature is identified within the first field of view based on the ultrasound data. A location in digital space of the first field of view relative to the anatomical model is determined based on the first anatomical feature. A second field of view is then established based on the anatomical model and the first field of view, wherein the first field of view functions as a reference field of view. The field of view is then switched from the first field of view to the second field of view.Type: GrantFiled: March 13, 2020Date of Patent: October 1, 2024Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Frank Michael Weber, Irina Waechter-Stehle, Tobias Wissel, Arne Ewald, Matthias Lenga, Jochen Peters
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Publication number: 20240153037Abstract: A method and system for correcting a difference in contrast agent density in a sequence of contrast-enhanced image frames. A reference image frame is defined in the sequence of contrast-enhanced image frames, and segmentation is performed on the reference image frame to determine a location of a region of interest within the reference image frame. The region of interest is a region of the reference image frame that contains contrast agent. Other image frames in the sequence of contrast-enhanced images are corrected based on a difference in contrast agent density/image intensity in the region of interest relative to the region of interest in the reference image frame.Type: ApplicationFiled: March 3, 2022Publication date: May 9, 2024Inventors: Sebastian Wild, Frank Michael Weber, Irina Waechter-Stehle, Jochen Peters, Arne Ewald, André Gooßen, Matthias Lenga, Tobias Wissel, David Prater
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Patent number: 11978136Abstract: The invention provides for a medical imaging system (100, 400) comprising a memory (110) storing machine executable instructions (120) and a configured artificial neural network (122). The medical imaging system further comprises a processor (104) configured for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to receive (200) magnetic resonance imaging data (124), wherein the magnetic resonance imaging data is BOLD functional magnetic resonance imaging data descriptive of a time dependent BOLD signal (1100) for each of a set of voxels. Execution of the machine executable instructions further causes the processor to construct (202) a set of initial signals (126) by reconstructing the time dependent BOLD signal for each of the set of voxels using the magnetic resonance imaging data.Type: GrantFiled: November 26, 2019Date of Patent: May 7, 2024Assignee: Koninklijke Philips N.V.Inventors: Arne Ewald, Nick Flaeschner, Bernhard Gleich, Ingmar Graesslin, Peter Boernert, Ingo Schmale, Johannes Adrianus Overweg
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Publication number: 20240127432Abstract: A system and method for achieving more accurate results when applying an image processing task to a series of medical images of a patient, without significantly increasing processing resource. The proposed system and method is based on receiving a plurality of image sequences of a particular anatomical region, each capturing cyclical movement of an anatomical object. Each image sequence is supplied to a classifier module which employs use of one or more machine learning algorithms to derive at least one score for each image sequence indicative of predicted success or quality of a result of the image processing task if applied to the given image series. This permits an assessment to be made in advance of which of the plurality of image series is most likely to result in the best (e.g. highest quality, or greatest amount of information) results from the image processing task.Type: ApplicationFiled: January 24, 2022Publication date: April 18, 2024Inventors: Alexandra Groth, Tanja Lossau, Irina Waechter-Stehle, Frank Michael Weber, Jochen Peters, Sebastian Wild, Arne Ewald, Andre Goossen
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Publication number: 20240041431Abstract: A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.Type: ApplicationFiled: October 16, 2023Publication date: February 8, 2024Inventors: Tobias Wissel, Frank Michael Weber, Arne Ewald, Irina Waechter-Stehle
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Patent number: 11819362Abstract: A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.Type: GrantFiled: June 19, 2018Date of Patent: November 21, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Tobias Wissel, Frank Michael Weber, Arne Ewald, Irina Waechter-Stehle
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Publication number: 20230360225Abstract: The invention provides a method for determining a confidence value for an image segmentation. The method includes obtaining an image, wherein the image comprises a view of an anatomical structure and a model of the anatomical structure is obtained, wherein the model comprises a plurality of nodes. The image is processed to generate a plurality of image segmentation outputs, wherein each image segmentation output comprises a set of values for the view, wherein each value of the set of values is associated with a node of the plurality of nodes of the model. For each node of the model, a confidence value is determined based on the plurality of values corresponding to the node. A confidence map of the anatomical structure is generated based on the confidence value of each node.Type: ApplicationFiled: December 10, 2020Publication date: November 9, 2023Inventors: Tobias Wissel, Irina Waechter-Stehle, Scott Holland Settlemier, Frank Michael Weber, Arne Ewald, Matthias Lenga, Jochen Peters, André Goossen, Sebastian Wild
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Publication number: 20230270500Abstract: A mechanism for generating a rendering of a left atrial appendage of a patient. The potential position of one or more interventional devices within the left atrial appendage is determined from model data that contains an anatomical model of the left atrial appendage. A rendering of the left atrial appendage is generated, from image data, and subsequently displayed. Visual parameters of the displayed rendering of the left atrial appendage are responsive to the determined potential position(s) for the one or more interventional devices.Type: ApplicationFiled: June 23, 2021Publication date: August 31, 2023Inventors: Frank Michael Weber, Alasdair Iain Dow, Eduardo Ortiz Vazquez, Andrea Laghi, Arne Ewald, Irina Waechter-Stehle
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Patent number: 11712223Abstract: An ultrasound imaging system for acquiring ultrasound images of an anatomical feature of interest in a subject, comprising a controller operable by a user and configured to: process input ultrasound images to extract anatomical data; determine a set of constraints to be applied to the ultrasound images, the constraints being spatial, temporal and/or of image quality, derived from the extracted anatomical data and/or on user input; monitor the ultrasound images, as they are received, for determining their compliance with the determined constraints; and output an indication based on the determined compliance. The user can adapt the imaging process using the feedback of these indications, and can decide to stop the process based on satisfactory indications.Type: GrantFiled: March 28, 2019Date of Patent: August 1, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Tobias Wissel, Frank Michael Weber, Jochen Peters, Arne Ewald, Alexander Schmidt-Richberg
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Patent number: 11715196Abstract: The present invention relates to an image processing apparatus for deriving multi-dimensional images of an object and an according system and method. The image processing apparatus comprises an interface configured to provide 3D image data of an object and to provide a sequence of images of the object. The image processing apparatus further comprises a processing unit configured to obtain a personalized 3D model of the object by applying a model-based segmentation to the 3D image data of the object and to adapt the personalized 3D model based on at least a part of the images of the sequence of images of the object.Type: GrantFiled: July 18, 2018Date of Patent: August 1, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Arne Ewald, Frank Michael Weber, Rolf Jurgen Weese
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Patent number: 11669636Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.Type: GrantFiled: March 10, 2020Date of Patent: June 6, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Arne Ewald, Tim Nielsen, Karsten Sommer, Irina Waechter-Stehle, Christophe Michael Jean Schülke, Frank Michael Weber, Rolf Jürgen Weese, Jochen Peters