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公开(公告)号：US20200330076A1
公开(公告)日：2020-10-22
申请号：US16755822
申请日：2018-10-08
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Frank Michael Weber , Tobias Wissel , Arne Ewald , Alexander Schmidt-Richberg , Jochen Peters
Abstract: An ultrasound imaging system comprises a display for displaying a received ultrasound image. A user interface is provided for receiving user commands for controlling the ultrasound imaging process, and it receives a user input which identifies a point or region of the displayed ultrasound image. An image depth is determined which is associated with the identified point or region and the imaging process is controlled to tailor the imaging to the identified point or region.
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公开(公告)号：US12181552B2
公开(公告)日：2024-12-31
申请号：US17294699
申请日：2019-11-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Evan Schwab , Arne Ewald
IPC: G01R33/56 , G01R33/563 , G06N3/02 , G06V10/764 , G06V10/82
Abstract: 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. The medical imaging system further comprises a processor (104) for controlling the machine executable instructions. Execution of the machine executable instructions causes the processor to: receive (200) the diffusion magnetic resonance imaging data; and generate (202) the neural network output by inputting the diffusion magnetic resonance imaging data into the trained convolutional neural network.
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公开(公告)号：US20240153037A1
公开(公告)日：2024-05-09
申请号：US18280512
申请日：2022-03-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Sebastian Wild , Frank Michael Weber , Irina Waechter-Stehle , Jochen Peters , Arne Ewald , André Gooßen , Matthias Lenga , Tobias Wissel , David Prater
CPC classification number: G06T5/40 , G06T5/50 , G06T7/10 , G06T7/73 , G06T2207/10016 , G06T2207/10132 , G06T2207/30048
Abstract: 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.
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公开(公告)号：US20240127432A1
公开(公告)日：2024-04-18
申请号：US18276482
申请日：2022-01-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Alexandra Groth , Tanja Lossau , Irina Waechter-Stehle , Frank Michael Weber , Jochen Peters , Sebastian Wild , Arne Ewald , Andre Goossen
IPC: G06T7/00 , G06T1/60 , G06T7/12 , G06V10/764
CPC classification number: G06T7/0012 , G06T1/60 , G06T7/12 , G06V10/764 , G06T2207/10016 , G06T2207/10132 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30168
Abstract: 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. This allows maximization of the quality of image processing results, without the need to actually process each of the image series with the image processing task, which would consume a large amount of processing resource and consume time.
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公开(公告)号：US11715196B2
公开(公告)日：2023-08-01
申请号：US16631869
申请日：2018-07-18
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Arne Ewald , Frank Michael Weber , Rolf Jurgen Weese
CPC classification number: G06T7/0012 , G06T7/11 , G06T7/149 , G06T7/251 , G06T2200/04 , G06T2207/10076 , G06T2207/10081 , G06T2207/10136 , G06T2207/30048
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US20200205784A1
公开(公告)日：2020-07-02
申请号：US16622662
申请日：2018-06-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tobias Wissel , Frank Michael Weber , Arne Ewald , Irina Waechter-Stehle
Abstract: 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.
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公开(公告)号：US12190562B2
公开(公告)日：2025-01-07
申请号：US17621718
申请日：2020-06-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Arne Ewald , Rudolf Mathias Johannes Nicolaas Lamerichs , Nick Flaschner , Bernhard Gleich , Peter Boernert , Ingmar Graesslin , Johannes Adrianus Overweg
IPC: G06V10/764 , G06N3/08 , G06T7/00 , G06V10/82
Abstract: 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.
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公开(公告)号：US12102482B2
公开(公告)日：2024-10-01
申请号：US17438964
申请日：2020-03-13
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Frank Michael Weber , Irina Waechter-Stehle , Tobias Wissel , Arne Ewald , Matthias Lenga , Jochen Peters
CPC classification number: A61B8/463 , A61B8/085 , A61B8/4245 , A61B8/469 , A61B8/5215 , G06T7/11 , G06T17/20 , G06T2207/10132 , G06T2207/30044 , G06T2207/30048
Abstract: 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.
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公开(公告)号：US20240041431A1
公开(公告)日：2024-02-08
申请号：US18380444
申请日：2023-10-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tobias Wissel , Frank Michael Weber , Arne Ewald , Irina Waechter-Stehle
CPC classification number: A61B8/483 , A61B8/0883 , A61B8/145 , A61B8/4488 , A61B8/463 , A61B8/5253
Abstract: 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.
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公开(公告)号：US11819362B2
公开(公告)日：2023-11-21
申请号：US16622662
申请日：2018-06-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tobias Wissel , Frank Michael Weber , Arne Ewald , Irina Waechter-Stehle
CPC classification number: A61B8/483 , A61B8/0883 , A61B8/145 , A61B8/4488 , A61B8/463 , A61B8/5253
Abstract: 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.
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