Patents by Inventor Jürgen Weese
Jürgen Weese 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: 20240090849Abstract: The present invention relates to multispectral imaging. In order to improve an identification of relevant multispectral material transitions (in particular caused by injected contrast agent), an apparatus is proposed to use the local maxima of the variances and/or covariances of the intensities of the multi-channel images to locate material transitions. In comparison to gradient vectors, the local variance is not directed and not prone to noise. An alternative apparatus is proposed to use the local covariance deficits of the intensities of the multi-channel images to locate material transitions. The proposed alternative approach is independent of spatial drifts across the image volume.Type: ApplicationFiled: November 28, 2021Publication date: March 21, 2024Inventors: RAFAEL WIEMKER, LIRAN GOSHEN, HANNES NICKISCH, CLAAS BONTUS, TOM BROSCH, JOCHEN PETERS, ROLF JÜRGEN WEESE
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Patent number: 11922634Abstract: A system for establishing a contour of a structure is disclosed. An initialization subsystem (1) is used for initializing an adaptive mesh representing an approximate contour of the structure, the structure being represented at least partly by a first image, and the structure being represented at least partly by a second image. A deforming subsystem (2) is used for deforming the adaptive mesh, based on feature information of the first image and feature information of the second image. The deforming subsystem comprises a force-establishing subsystem (3) for establishing a force acting on at least part of the adaptive mesh, in dependence on the feature information of the first image and the feature information of the second image. A transform-establishing subsystem (4) is used for establishing a coordinate transform reflecting a registration mismatch between the first image, the second image, and the adaptive mesh.Type: GrantFiled: August 9, 2017Date of Patent: March 5, 2024Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Jochen Peters, Olivier Ecabert, Carsten Meyer, Reinhard Kneser, Juergen Weese
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Patent number: 11886543Abstract: A system and computer-implemented method are provided for annotation of image data. A user is enabled to iteratively annotate the image data. An iteration of said iterative annotation comprises generating labels for a current image data part based on user-verified labels of a previous image data part, and enabling the user to verify and correct said generated labels to obtain user-verified labels for the current image data part. The labels for the current image data part are generated by combining respective outputs of a label propagation algorithm and a machine-learned classifier trained on user-verified labels and image data and applied to image data of the current image data part. The machine-learned classifier is retrained using the user-verified labels and the image data of the current image data part to obtain a retrained machine-learned classifier.Type: GrantFiled: November 15, 2019Date of Patent: January 30, 2024Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Juergen Weese, Thomas Blaffert, Tom Brosch, Hans Barschdorf
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Publication number: 20240021320Abstract: A system and method for training a deep learning network with previously read image studies to provide a prioritized worklist of unread image studies. The method includes collecting training data including a plurality of previously read image studies, each of the previously read image studies including a classification of findings and radiologist-specific data. The method includes training the deep learning neural network with the training data to predict an urgency score for reading of an unread image study.Type: ApplicationFiled: November 11, 2021Publication date: January 18, 2024Inventors: NICOLE SCHADEWALDT, ROLF JÜRGEN WEESE, MATTHIAS LENGA, AXEL SAALBACH, STEFFEN RENISCH, HEINRICH SCHULZ
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Patent number: 11861839Abstract: A system and computer-implemented method are provided for preprocessing medical image data for machine learning. Image data is accessed which comprises an anatomical structure. The anatomical structure in the image data is segmented to obtain a segmentation of the anatomical structure as a delineated part of the image data. A grid is assigned to the delineated part of the image data, the grid representing a partitioning of an exterior and interior of the type of anatomical structure using grid lines, wherein said assigning comprises adapting the grid to fit the segmentation of the anatomical structure in the image data. A machine learning algorithm is then provided with an addressing to the image data in the delineated part on the basis of coordinates in the assigned grid. In some embodiments, the image data of the anatomical structure may be resampled using the assigned grid.Type: GrantFiled: May 8, 2019Date of Patent: January 2, 2024Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Rolf Jürgen Weese, Alexandra Groth, Tom Brosch, Jochen Peters
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Patent number: 11830197Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.Type: GrantFiled: June 15, 2022Date of Patent: November 28, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Rolf Jürgen Weese, Alexandra Groth, Jochen Peters
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Patent number: 11769599Abstract: A system and method are provided for use in evaluating a clinical guideline which is represented in a machine readable version by a decision tree comprising at least one node and a decision rule associated with the node. The decision rule comprises at least one variable representing a biomedical quantity. The biomedical quantity is extracted from the patient data using an ontology which defines concepts and their relationships in a medical domain of the clinical guideline and which thereby relates the variable of the decision rule to the patient data. If said extraction is not possible, a view of the patient data is presented to the user to enable the user to determine the biomedical quantity from the view. Advantageously, the user is assisted in evaluating the clinical guideline even when it is not possible to automatically extract the biomedical quantity from the patient data.Type: GrantFiled: June 27, 2017Date of Patent: September 26, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Tilman Wekel, Alexandra Groth, Rolf Jürgen Weese
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Publication number: 20230248996Abstract: The present application describes a computing system, a computer readable medium, and/or related method for supporting decision making in adaptive therapy. An input interface of receives an input image. A machine learning module predicts, based at least in part on the input image, a dose distribution associated with a first planning technique or a first treatment modality. A comparator compares a planned dose distribution as per a current treatment plan with the predicted dose distribution, to obtain a comparison result. The comparison result enables a user to gauge whether an actual re-planning would yield a dosimetric benefit before committing time or computational resources.Type: ApplicationFiled: July 5, 2021Publication date: August 10, 2023Inventors: MARIA LUIZA BONDAR, ROLF JÜRGEN WEESE, TORBJOERN VIK, TOM BROSCH, JENS WIEGERT, HARALD SEPP HEESE
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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
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Publication number: 20230074125Abstract: Disclosed herein is a medical system (100, 300) comprising a display (112) and a user interface (114). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) three-dimensional medical image data (122) of an anatomical structure (128, 322); receive (202) a three-dimensional segmentation (124) with one or more reference locations (800); display (204) at least one two-dimensional slice (126) of the three-dimensional medical image data; render (206) a cross section (134) of the three-dimensional segmentation, provide (208) a control element (130) of the user interface that is configured for receiving a one-dimensional position of the at least one reference location along a predetermined one-dimensional path (806); receive (210) the one-dimensional position (137) from the control element; adjust (212) the three-dimensional segmentation (124) using the one-dimensional position; and update (214) the rendering of the cross section of the three-dimensional segmentation.Type: ApplicationFiled: February 7, 2021Publication date: March 9, 2023Inventors: FRANK MICHAEL WEBER, JOCHEN PETERS, ROLF JÜRGEN WEESE
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Publication number: 20230067146Abstract: Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing machine executable instructions (120). The medical system further comprises an anatomical detection module (122). The anatomical detection module is configured for detecting an anatomical deviation in response to inputting tomographic medical scout image data (124). The anatomical detection module is configured for outputting a localization (126) of the anatomical deviation in the tomographic medical scout image data if the anatomical deviation is detected. The medical system further comprises a processor (104) configured for controlling the medical system.Type: ApplicationFiled: January 26, 2021Publication date: March 2, 2023Inventors: Charles Loeb TRUWIT, Rolf Juergen WEESE, Guenter Zeitler
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Patent number: 11562463Abstract: An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.Type: GrantFiled: January 15, 2021Date of Patent: January 24, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Emil George Radulescu, Ivan Salgo, Sheng-Wen Huang, Ramon Quido Erkamp, Shougang Wang, Irina Waechter-Stehle, Christian Buerger, Sabine Mollus, Juergen Weese
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Publication number: 20230011809Abstract: The invention relates to a system and computer-implemented method for enabling correction of a segmentation of an anatomical structure in 3D image data. The segmentation may be provided by a mesh which is applied to the 3D image data to segment the anatomical structure. The correction may for example involve a user directly or indirectly selecting a mesh part, such as a mesh point, that needs to be corrected. The behaviour of the correction, e.g., in terms of direction, radius/neighbourhood or strength, may then be dependent on the mesh normal direction, and in some embodiments, on a difference between the mesh normal direction and the orientation of the viewing plane.Type: ApplicationFiled: December 21, 2020Publication date: January 12, 2023Inventors: ALEXANDRA GROTH, FRANK MICHAEL WEBER, JOCHEN PETERS, ROLF JÜRGEN WEESE
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Publication number: 20230005158Abstract: Some embodiments are directed to a segmentation of medical images. For example, a medical image may be registering to multiple atlas images after which a segmentation function may be applied. Multiple segmentation may be fused into a final overall segmentation. The atlas images may be selected on the basis of high segmentation quality or low registration quality.Type: ApplicationFiled: December 7, 2020Publication date: January 5, 2023Inventors: MATTHIAS LENGA, TOBIAS WISSEL, ROLF JUERGEN WEESE
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Publication number: 20230001236Abstract: The invention relates to a system for determining a radiation therapy plan for a radiation therapy system (100), comprising a multi-leaf collimator. The radiation therapy plan determination system (110) comprises a therapy system characteristics providing unit (111), wherein the characteristics comprise possible leaf positions and possible radiation fluence values, a planning objectives providing unit (112), wherein the planning objectives are indicative of a desired therapeutic radiation dose distribution, an optimization function providing unit (113), wherein the optimization function is indicative of a deviation of a radiation dose distribution from the planning objectives and of an uncertainty of the radiation dose distribution at edges of the possible apertures, and a therapy plan optimization unit (114) adapted to determine a sequence of possible apertures and possible radiation fluence values for which the optimization function is optimized.Type: ApplicationFiled: November 25, 2020Publication date: January 5, 2023Inventors: HARALD SEPP HEESE, TORBJOERN VIK, ROLF JÜRGEN WEESE
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Patent number: 11540718Abstract: An imaging steering apparatus includes sensors and an imaging processor configured for: acquiring, via multiple ones of the sensors and from a current position (322), and current orientation (324), an image of an object of interest; based on a model, segmenting the acquired image; and determining, based on a result of the segmenting, a target position (318), and target orientation (320), with the target position and/or target orientation differing correspondingly from the current position and/or current orientation. An electronic steering parameter effective toward improving the current field of view may be computed, and a user may be provided instructional feedback (144) in navigating an imaging probe toward the improving. A robot can be configured for, automatically and without need for user intervention, imparting force (142) to the probe to move it responsive to the determination.Type: GrantFiled: December 5, 2014Date of Patent: January 3, 2023Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Irina Waechter-Stehle, Sabine Mollus, Christian Buerger, Emil George Radulescu, Sheng-Wen Huang, Juergen Weese
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Patent number: 11468567Abstract: A system and method are provided for display of medical image data, with the display of the medical image data being determined on the basis of schematic image data of a schematic representation of an anatomical structure. The schematic representation may provide a particular view of the anatomical structure. The type of anatomical structure and the view of the anatomical structure provided by the schematic representation may be determined based on one or more image features in the schematic image data. The view may be characterized as a geometrically-defined perspective at which the anatomical structure is shown in the schematic representation. An output image may be generated showing the anatomical structure in the medical image data in accordance with said determined geometrically-defined perspective. A user may thus be provided with a display of medical image data which is easier to interpret having considered said schematic representation.Type: GrantFiled: February 25, 2019Date of Patent: October 11, 2022Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Alexandra Groth, Axel Saalbach, Rolf Jürgen Weese
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Publication number: 20220319010Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.Type: ApplicationFiled: June 15, 2022Publication date: October 6, 2022Inventors: Rolf Jürgen WEESE, Alexandra GROTH, Jochen PETERS
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Patent number: 11439846Abstract: A system includes a computing system with a processor and computer readable storage medium with computer readable and executable instructions, including a radiation plan module, a radiation plan optimization module and a radiation plan visualization module. The processor is configured to execute the instructions, which causes the processor to construct and visually present, via a display monitor, a two-dimensional plot with three-dimensions of data from a radiation plan, and two dimensions along two axes of the plot and a third dimension represented through intensity.Type: GrantFiled: May 3, 2018Date of Patent: September 13, 2022Assignee: KONINKLIJKE PHILIPS N.V.Inventors: Torbjoern Vik, Harald Sepp Heese, Christoph Neukirchen, Alfonso Agatino Isola, Rolf Juergen Weese
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Publication number: 20220277457Abstract: In a method of segmenting a tubular feature in an image, a sequence of overlapping portions of the image are segmented using a trained model. The overlapping portions are positioned along the length of the tubular feature and combined to determine a segmentation of the tubular feature.Type: ApplicationFiled: August 26, 2020Publication date: September 1, 2022Inventors: ROLF JUERGEN WEESE, DOMINIQUE SIU LI TIO, CHERYL KIMBERLEY SITAL, TOM BROSCH