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公开(公告)号：US11348229B2
公开(公告)日：2022-05-31
申请号：US16644037
申请日：2018-09-04
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael Wiemker , Axel Saalbach , Jens Von Berg , Tom Brosch , Tim Philipp Harder , Fabian Wenzel , Christopher Stephen Hall
Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than −800 HU.
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公开(公告)号：US11571138B2
公开(公告)日：2023-02-07
申请号：US16470274
申请日：2017-12-18
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Eberhard Sebastian Hansis , Michael Gunter Helle , Tim Philipp Harder , Thomas Netsch
Abstract: The present disclosure relates to a method for configuring a medical device. The method comprises: providing a set of one or more parameters for configuring the medical device. Each parameter of the set has predefined values. A set of values of the set of parameters may be selected from the predefined values. Using the selected values the set of parameters may be set, which results in an operational configuration of the medical device. The medical device may be controlled to operate in accordance with the operational configuration, thereby an operating status of the medical device may be determined. Based on at least the operating status the operational configuration may be maintained or the selecting, setting and controlling may be repeatedly performed until a desired operating status of the medical device can be determined based on the operating statuses resulting from the controlling.
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公开(公告)号：US11246660B2
公开(公告)日：2022-02-15
申请号：US15749272
申请日：2016-08-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tim Philipp Harder , Thomas Buelow
Abstract: A system and a method are provided for simulating a breast deformation of a subject using sensor data obtained from an orientation sensor of a mobile device, with the orientation sensor being configured for sensing an orientation of the mobile device with respect to a direction of gravity. In accordance with the system and method, model data is accessed which defines a biomechanical model of a breast. A simulation subsystem is provided for obtaining the sensor data from the orientation sensor of the mobile device and for determining a gravitational breast deformation by applying a gravitational force to the biomechanical model in a direction which is defined based on the orientation of the mobile device. A deformed model may be displayed on a display of the mobile device. The system and the method provide an intuitive way of simulating the breast deformation.
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公开(公告)号：US12299878B2
公开(公告)日：2025-05-13
申请号：US17770759
申请日：2020-10-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Thomas Buelow , Tim Philipp Harder , Stewart Young
Abstract: An apparatus (10) for manually auditing a set (30) of images having quality ratings (38) for an image quality metric assigned to the respective images of the set of images by an automatic quality assessment process (40) includes at least one electronic processor (20) programmed to: generate quality rating confidence values (42) indicative of confidence of the quality ratings for the respective images; select a subset (32) of the set of images for manual review based at least on the quality rating confidence values; and provide a user interface (UI) (27) via which only the subset of the set of images is presented and via which manual quality ratings (46) for the image quality metric are received for only the subset of the set of images.
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公开(公告)号：US11024028B2
公开(公告)日：2021-06-01
申请号：US16339053
申请日：2017-10-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Thomas Buelow , Stewart Young , Tanja Nordhoff , Tim Philipp Harder , Jan-Hendrik Buhk
Abstract: The present invention relates to a device and method for quality assessment of medical image datasets. To enable an automatic quality assessment of medical image datasets to identify potential errors or deviations that may be avoided in future imaging operations, the device comprises an image input (21) for obtaining medical image datasets together with respective acquisition information, each medical image dataset being acquired by scanning a field of view, FOV, of an examination object and the respective acquisition information representing information related to the acquisition of the respective medical image dataset; an image analysis unit (22) for comparing the FOV of an obtained medical image dataset with a reference FOV and for determining difference information indicating deviations of the FOV from the reference FOV; a correlation unit (23) for determining correlation information indicating correlations between the difference information determined for a plurality of obtained medical image datasets and the respective acquisition information; and an output unit (24) for issuing the determined correlation information.
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Patent Agency Ranking
公开(公告)号：US12243633B2
公开(公告)日：2025-03-04
申请号：US17231043
申请日：2021-04-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Thomas Buelow , Tanja Nordhoff , Tim Philipp Harder , Hrishikesh Narayanrao Deshpande , Olga Starobinets
Abstract: An apparatus (1), for use in conjunction with a medical imaging device (2) having an imaging device controller (4) that displays a graphical user interface (GUI) (8) including a preview image viewport (9), includes at least one electronic processor (20) programmed to: perform an image analysis (38) on a preview image displayed in the preview image viewport to generate preview-derived image label information; extract GUI-derived image label information from the GUI excluding the preview image displayed in the preview image viewport; and output an alert (30) when the preview-derived image label information and the GUI-derived image label information are not consistent.
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公开(公告)号：US11657500B2
公开(公告)日：2023-05-23
申请号：US16955959
申请日：2018-12-14
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael Wiemker , Tanja Nordhoff , Thomas Buelow , Axel Saalbach , Tobias Klinder , Tom Brosch , Tim Philipp Harder , Karsten Sommer
CPC classification number: G06T7/0012 , A61N5/1031 , G06T5/002 , G06T7/11 , G06T2207/10081 , G06T2207/20021 , G06T2207/20182 , G06T2207/30064 , G06T2207/30168
Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.
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公开(公告)号：US11320508B2
公开(公告)日：2022-05-03
申请号：US16759778
申请日：2018-10-22
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Karsten Sommer , Tom Brosch , Tim Philipp Harder , Jochen Keupp , Ingmar Graesslin , Rafael Wiemker , Axel Saalbach
Abstract: The invention relates to a magnetic resonance imaging data processing system (126) for processing motion artifacts in magnetic resonance imaging data sets using a deep learning network (146, 502, 702) trained for the processing of motion artifacts in magnetic resonance imaging data sets. The magnetic resonance imaging data processing system (126) comprises a memory (134, 136) storing machine executable instructions (161, 164) and the trained deep learning network (146, 502, 702). Furthermore, the magnetic resonance imaging data processing system (126) comprises a processor (130) for controlling the magnetic resonance imaging data processing system. Execution of the machine executable instructions (161, 164) causes the processor (130) to control the magnetic resonance imaging data processing system (126) to: receive a magnetic resonance imaging data set (144, 500, 800), apply the received magnetic resonance imaging data set (144, 500, 800) as an input to the trained deep learning network (146, 502, 702), process one or more motion artifacts present in the received magnetic resonance imaging data set (144, 500, 800) using the trained deep learning network (146, 502, 702).
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公开(公告)号：US11295451B2
公开(公告)日：2022-04-05
申请号：US16319701
申请日：2017-07-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael Wiemker , Tobias Klinder , Alexander Schmidt-Richberg , Axel Saalbach , Irina Waechter-Stehle , Tim Philipp Harder , Jens von Berg
Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[≥2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.
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公开(公告)号：US20210295524A1
公开(公告)日：2021-09-23
申请号：US16319701
申请日：2017-07-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael Wiemker , Tobias Klinder , Alexander Schmidt-Richberg , Axel Saalbach , Irina Waechter-Stehle , Tim Philipp Harder , Jens von Berg
Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[≥2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.
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