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    SYSTEM FOR FUNCTIONAL MAGNETIC RESONANCE IMAGE DATA ACQUISITION
    1.
    发明申请
    SYSTEM FOR FUNCTIONAL MAGNETIC RESONANCE IMAGE DATA ACQUISITION 审中-公开

    公开(公告)号：WO2021037617A1

    公开(公告)日：2021-03-04

    申请号：PCT/EP2020/073150

    申请日：2020-08-19

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： FLÄSCHNER, Nick ,  EWALD, Arne ,  LAMERICHS, Rudolf, Mathias, Johannes, Nicolaas

    IPC: A61B5/055 ,  A61B5/0476 ,  A61B5/00

    Abstract: The present invention relates to a system (10) for functional magnetic resonance image data acquisition. The system comprises an input unit (20), a magnetic resonance imaging "MRI" device (30), an electroencephalography "EEG" data acquisition device (40), and a processing unit (50). The input unit is configured to provide task based information to a patient, wherein the task based information extends over a period of time. The MRI device is configured to acquire functional magnetic resonance imaging "fMRI" data relating to brain activity of the patient, wherein the fMRI data extends over the period of time. The EEG device is configured to acquire EEG data relating to electrical activity of the brain of the patient, wherein the EEG data extends over the period of time. The processing unit is configured to utilize the task based information that extends over the period of time and the EEG data that extends over the period of time to determine at least one first sub-set period of time over the period of time. The processing unit is configured to determine an action associated with acquisition of the fMRI data over the at least one first sub-set period of time.

    METHODS AND SYSTEMS FOR ADJUSTING THE FIELD OF VIEW OF AN ULTRASOUND PROBE
    2.
    发明申请
    METHODS AND SYSTEMS FOR ADJUSTING THE FIELD OF VIEW OF AN ULTRASOUND PROBE 审中-公开

    公开(公告)号：WO2020187765A1

    公开(公告)日：2020-09-24

    申请号：PCT/EP2020/056913

    申请日：2020-03-13

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： WEBER, Frank, Michael ,  WAECHTER-STEHLE, Irina ,  WISSEL, Tobias ,  EWALD, Arne ,  LENGA, Matthias ,  PETERS, Jochen

    IPC: A61B8/00 ,  A61B8/08

    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.

    ULTRASOUND IMAGING METHOD AND SYSTEM
    3.
    发明申请
    ULTRASOUND IMAGING METHOD AND SYSTEM 审中-公开

    公开(公告)号：WO2019002006A1

    公开(公告)日：2019-01-03

    申请号：PCT/EP2018/066163

    申请日：2018-06-19

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： WISSEL, Tobias ,  WEBER, Frank Michael ,  EWALD, Arne ,  WAECHTER-STEHLE, Irina

    IPC: G01S15/89 ,  G06T19/20

    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.

    FUNCTIONAL MAGNETIC RESONANCE IMAGING ARTIFACT REMOVAL BY MEANS OF AN ARTIFICIAL NEURAL NETWORK
    5.
    发明申请
    FUNCTIONAL MAGNETIC RESONANCE IMAGING ARTIFACT REMOVAL BY MEANS OF AN ARTIFICIAL NEURAL NETWORK 审中-公开

    公开(公告)号：WO2020114830A1

    公开(公告)日：2020-06-11

    申请号：PCT/EP2019/082520

    申请日：2019-11-26

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： EWALD, Arne ,  FLAESCHNER, Nick ,  BERNHARD, Gleich ,  GRAESSLIN, Ingmar ,  BOERNERT, Peter ,  SCHMALE, Ingo ,  OVERWEG, Johannes, Adrianus

    IPC: G01R33/48 ,  G01R33/56 ,  G01R33/565

    Abstract: 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. Execution of the machine executable instructions further causes the processor to receive (204) a set of modified signals (128) in response to inputting the set of initial signals into the configured artificial neural network. The configured artificial neural network is configured for removing physiological artifacts from the set of initial signals.

    DIFFUSION MAGNETIC RESONANCE IMAGING USING SPHERICAL NEURAL NETWORKS
    10.
    发明申请
    DIFFUSION MAGNETIC RESONANCE IMAGING USING SPHERICAL NEURAL NETWORKS 审中-公开

    公开(公告)号：WO2020104457A1

    公开(公告)日：2020-05-28

    申请号：PCT/EP2019/081800

    申请日：2019-11-19

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： SCHWAB, Evan ,  EWALD, Arne

    IPC: G06K9/62 ,  G01R33/56 ,  G01R33/563

    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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