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公开(公告)号:US20230404495A1
公开(公告)日:2023-12-21
申请号:US18037573
申请日:2021-11-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: HEINER MATTHIAS BRUECK , STEWART MATTHEW YOUNG , ANDRÉ GOOSSEN , SVEN KROENKE , DANIEL BYSTROV , JENS VON BERG
CPC classification number: A61B6/0492 , A61B6/547 , G06T2207/30004 , G06T2207/20224 , G06T7/74
Abstract: A computer-implemented method for positioning a subject in medical imaging, comprising: receiving a first image (20) of a region of interest (14, 16) of the subject (S10); determining first positioning data based on the first image (20), wherein the first positioning data indicates an alignment of the region of interest (14, 16) relative to a first image acquisition unit used to acquire the first image (20) (S20); determining guidance data based on the first positioning data, wherein the guidance data comprises a guidance for an alignment of the region of interest (14, 16) relative to a second image acquisition unit used to acquire a second image (60) from a current alignment to a target alignment, wherein the target alignment is to correspond to that derived from the first positioning data (S30); providing the guidance data for acquiring the second image (60) (S40).
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公开(公告)号:US20250099032A1
公开(公告)日:2025-03-27
申请号:US18730894
申请日:2023-01-10
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: SVEN KROENKE-HILLE , STEWART MATTHEW YOUNG , JENS VON BERG , HEINER MATTHIAS BRUECK , DANIEL BYSTROV , ANDRÉ GOOSSEN , TIM PHILIPP HARDER
Abstract: The present invention relates to a system and a method for detecting pain experienced by a patient in relation to a pose of the patient. The system comprises a pose estimation unit configured to estimate the pose of the patient and a pain detection unit configured to detect pain experienced by the patient. The system further comprises a processing unit configured to determine a correlation between the detected pain experienced by the patient and the estimated pose of the patient. The determined correlation can be displayed on a display unit to a physician.
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3.
公开(公告)号:US20230389167A1
公开(公告)日:2023-11-30
申请号:US18032360
申请日:2021-10-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ANDRÉ GOOSSEN
CPC classification number: H05G1/54 , G01R31/257
Abstract: The present invention relates to a method and system for predicting X-ray degradation, the system comprising; a generator (10) configured to generate a deployment fingerprint data set for recording cumulative radiation exposure of a currently deployed X-ray tube; a database (20) configured to provide a training data set comprising multiple tube fingerprint data sets for recording cumulative radiation exposure of previously deployed X-ray tubes correlated with failures of the previously deployed X-ray tubes; and a neural network (30) configured to be trained using the training data set and configured to predict at least one parameter of the currently deployed X-ray tube based on the training.
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公开(公告)号:US20230386644A1
公开(公告)日:2023-11-30
申请号:US18032361
申请日:2021-10-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ANDRÉ GOOSSEN , HANNES NICKISCH
Abstract: The present disclosure provides means for improved medical image post-processing. It utilizes an image data post-processing mechanism (122) comprising an encoder (122A) configured to encode input image data with input image properties and a decoder (122B) configured to decode the input image data to provide output image data with output image properties different to the input image properties. The post-processing mechanism (122) comprises a first post-processing setting applied to the encoder and/or the decoder and assigned to first output image properties. Further, the post-processing mechanism (122) is configured to predict a second post-processing setting applicable to the encoder and/or the decoder and assigned to second output image properties. The post-processing mechanism (122) is further configured to provide an image proposal comprising the input image data post-processed with the predicted second post-processing setting. Furthermore, the post-processing mechanism (122) is configured to receive a feedback signal assigned to the image proposal, and to evaluate the predicted second post-processing setting based on the received feedback signal.
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公开(公告)号:US20250006343A1
公开(公告)日:2025-01-02
申请号:US18695386
申请日:2022-09-22
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ANDRÉ GOOSSEN , STEWART MATTHEW YOUNG , SVEN KRÖNKE-HILLE , JENS VON BERG , TIM PHILIPP HARDER , HEINER MATTHIAS BRUECK , DANIEL BYSTROV
Abstract: The present invention relates to medical imaging. In order to reduce repeat images, it is proposed to enable automated prediction of quality metrics prior to image formation by exploiting data from sensors. This may greatly improve the quality of medical image data acquired in the actual imaging examination, thereby leading to fewer retakes, less delayed treatment to patients, shortened workflow, and higher patient rate. In X-ray and CT exams, fewer retakes may also reduce radiation doses for patients.
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6.
公开(公告)号:US20230223136A1
公开(公告)日:2023-07-13
申请号:US18008655
申请日:2021-06-08
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ANDRÉ GOOSSEN , HEINER MATTHIAS BRUECK , JENS VON BERG , SVEN KRÖNKE , DANIEL BYSTROV , STEWART MATTHEW YOUNG
CPC classification number: G16H30/40 , G06T7/0012 , G06T7/70 , G06T2207/30004 , G06T2207/30168 , G06T2207/20092
Abstract: The disclosure relates to a system for analysis of medical image data, which represents a two-dimensional or three-dimensional medical image. The system is configured to read and/or determine, for the medical image, a plurality of image quality metrics and to determine a combined quality metrics based on the image quality metrics. The system is further configured so that the determination of the combined quality metrics takes into account an interaction between the image quality metrics in their combined effect on the combined quality metrics.
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公开(公告)号:US20230030618A1
公开(公告)日:2023-02-02
申请号:US17785071
申请日:2020-12-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: RAFAEL WIEMKER , TOM BROSCH , HRISHIKESH NARAYANRAO DESHPANDE , ANDRÉ GOOSSEN , TIM PHILIPP HARDER , AXEL SAALBACH
Abstract: A computer implemented method of making a measurement associated with a feature of interest in an image. The method comprises using (302) a model trained using a machine learning process to take the image as input and predict a pair of points between which to make the measurement of the feature of interest in the image. The method then comprises determining (304) the measurement, based on the predicted pair of points.
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公开(公告)号:US20220386983A1
公开(公告)日:2022-12-08
申请号:US17770175
申请日:2020-10-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: TIM PHILIPP HARDER , THOMAS BUELOW , STEWART YOUNG , JENS VON BERG , SVEN KROENKE , DANIEL BYSTROV , ANDRÉ GOOSSEN
Abstract: Method for assessing a position of a patient with respect to an automatic exposure control chamber, AEC chamber (11, 12), for a medical exam, wherein a patient is positioned between an X-ray source and the AEC chamber (11, 12); comprising the steps:—acquiring (S10) an X-ray image (32) of at least part of the patient, wherein the AEC chamber is configured for detecting a radiation dose of the X-ray source;—determining (S20), by the control unit, a position of the AEC chamber (11, 12) with respect to the patient from the acquired X-ray image (32);—determining (S30), by the control unit, an exam protocol performed on the patient dependent on the medical exam to be performed on the patient and determining, by the control unit, an ideal position of the AEC chamber (11, 12) with respect to the patient dependent on the exam protocol, wherein the ideal position relates to a position of the patient relative to the AEC chamber (11, 12), in which the detected radiation dose is reliable for the medical exam; and—determining (S40), by the control unit, a position deviation of the position of the AEC chamber from the ideal position of the AEC chambers; characterized in that determining, by the control unit, the position deviation comprises the steps:—segmenting at least an anatomical structure (21, 22) of the patient in the X-ray image (32) thereby determining at least one segmented anatomical structure (21, 22); and—determining the position deviation dependent on the at least one segmented anatomical structure (21, 22);—determining an overlap of the at least one segmented anatomical structure (21, 22) with the AEC chamber (11, 12); and—determining the position deviation dependent on the determined overlap.
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公开(公告)号:US20220273252A1
公开(公告)日:2022-09-01
申请号:US17637954
申请日:2020-08-21
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ANDRÉ GOOSSEN , MICHAEL GRASS
Abstract: An X-ray imaging apparatus (XI) including an X-ray source (XS) with a cathode (C) and an anode (A). The source (XS) is to generate an X-radiation beam (XB). An X-ray detector (XD) detects the X-radiation after interaction with an imaged object (OB). The beam (XB) has different spectra on its anode side (AS) and cathode side (CS) caused by the heel effect when the X-ray source (XS) is in operation. -ray imaging apparatus (XI) has a heel-effect-harnessing (HH) mechanism configured to cause a pixel (PX) of the detector (XD) to be alternately exposed to both, the anode side (AS) and the cathode side (CS) of the beam (XB).
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