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    TEMPORALLY GATED THREE-DIMENSIONAL IMAGING
    21.
    发明申请
    TEMPORALLY GATED THREE-DIMENSIONAL IMAGING 有权

    公开(公告)号：US20210186451A1

    公开(公告)日：2021-06-24

    申请号：US17057125

    申请日：2019-05-28

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： MICHAEL GRASS ,  THOMAS KOEHLER

    IPC: A61B6/00 ,  G06T11/00 ,  A61B6/03

    Abstract: The invention relates to a data processor (1) for processing 3D radiographic imaging data. The processor comprises an input (2) for receiving the imaging data and for providing a motion signal indicative of a motion of the imaged subject. The processor comprises an image segmenter (4) for segmenting a body part of interest in a first image included in or derived from the imaging data, and a gating function calculator (5) for calculating temporal gating functions for voxels that belong to the body part taking the motion signal into account. The processor comprises an image reconstructor (3) for reconstructing the imaging data into reconstructed three-dimensional images, by taking the temporal gating functions into account such as to associate each of the reconstructed three-dimensional images with a corresponding phase of the motion.

    X-RAY SYSTEM ERROR TRACKING AND CALIBRATION
    22.
    发明申请
    X-RAY SYSTEM ERROR TRACKING AND CALIBRATION 有权

    公开(公告)号：US20210153836A1

    公开(公告)日：2021-05-27

    申请号：US17047103

    申请日：2019-04-05

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： CHRISTIAN HAASE ,  MICHAEL GRASS ,  DIRK SCHAFER

    IPC: A61B6/00

    Abstract: Mechanical image acquisition systems (such as medical C-arms) frequently accumulate geometrical errors which must be calibrated out using a calibration phantom. A more frequent regime of system calibration implies a less frequent use of the C-arm for clinical applications. The present application proposes to identify common biases between the acquired projection frame sequences from the same mechanical image acquisition system in first and second acquisitions, and to compare this to expected calibration data of the mechanical image acquisition system to generate frame deviation measures. If a resemblance between the first and second sequences of frame deviation measures is obtained, one or more calibration actions are performed (such as alerting the user that calibration should be provided, and/or automatically correcting for the geometry deviation).

    SCAN PARAMETER ADAPTION DURING A CONTRAST ENHANCED SCAN
    23.
    发明申请
    SCAN PARAMETER ADAPTION DURING A CONTRAST ENHANCED SCAN 审中-公开

    公开(公告)号：US20200337668A1

    公开(公告)日：2020-10-29

    申请号：US16963270

    申请日：2019-01-17

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： MICHAEL GRASS ,  ROLF DIETER BIPPUS ,  THOMAS KOEHLER ,  SANDRA SIMON HALLIBURTON

    IPC: A61B6/00 ,  A61B6/03 ,  A61B6/04

    Abstract: A computed tomography imaging system (102) includes an X-ray radiation source (110) configured to emit X-ray radiation that traverses an examination region (108) and an X-ray radiation sensitive detector array (112) configured to detect X-ray radiation traversing the examination region and generate a view of line integrals. The imaging system further includes a subject support table top (118) configured to translate in the examination region for a scan based on at least one scan parameter. The imaging system further includes an operator console (122), which includes a processor (128) and computer readable storage medium (130) with a scan parameter adapter module (132). The processor is configured to execute instructions of the scan parameter adapter module, which causes the processor to determine a contrast agent concentration from the view of line integrals and adjust the at least one scan parameter based on the determined concentration.

    NAVIGATION SYSTEM
    28.
    发明申请
    NAVIGATION SYSTEM 审中-公开
    导航系统

    公开(公告)号：US20160206381A1

    公开(公告)日：2016-07-21

    申请号：US14914016

    申请日：2014-08-28

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： MICHAEL GRASS ,  NERIMAN NICOLETTA KAHYA ,  SVEN PREVRHAL ,  MARCO VERSTEGE ,  EBERHARD SEBASTIAN HANSIS

    IPC: A61B34/20 ,  A61B5/06

    CPC classification number: A61B34/20 ,  A61B5/066 ,  A61B2034/2051 ,  A61B2034/2061 ,  A61B2034/301 ,  A61B2090/376

    Abstract: The invention relates to a navigation system for navigating an interventional device (11) like a catheter and an interventional system comprising the navigation system. A position and shape determining unit (13) determines and stores a first position and shape of the interventional device within a living being (9) during a first interventional procedure like a first chemoembolization session and determines a second position and shape of an interventional device within the living being during a subsequent second interventional procedure like a second chemoembolization session. During the second interventional procedure the interventional device is navigated based on the stored first position and shape and based on the second position and shape. This allows considering during the second interventional procedure the path of the interventional device used during the first interventional procedure. In particular, this allows navigating the interventional device along the same path during the first and second interventional procedures.

    Abstract translation: 本发明涉及一种用于导航诸如导管的介入装置（11）的导航系统和包括导航系统的介入系统。 位置和形状确定单元（13）在像第一化学栓塞会话期间的第一介入过程期间确定并存储介入装置的第一位置和形状（9），并且确定第一介入装置的第二位置和形状 在随后的第二次介入手术过程中，如第二次化学栓塞化疗。 在第二介入程序期间，介入装置基于存储的第一位置和形状并基于第二位置和形状导航。 这允许在第二介入程序期间考虑在第一介入程序期间使用的介入装置的路径。 特别地，这允许在第一和第二介入程序期间沿着相同的路径导航介入装置。

    MACHINE-LEARNING IMAGE PROCESSING INDEPENDENT OF RECONSTRUCTION FILTER
    29.
    发明申请
    MACHINE-LEARNING IMAGE PROCESSING INDEPENDENT OF RECONSTRUCTION FILTER 有权

    公开(公告)号：US20250069291A1

    公开(公告)日：2025-02-27

    申请号：US18724000

    申请日：2022-12-21

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： CHRISTIAN WUELKER ,  FRANK BERGNER ,  THOMAS KOEHLER ,  MICHAEL GRASS

    IPC: G06T11/00 ,  G06T5/20 ,  G06T5/70 ,  G06T7/10 ,  G06V10/88 ,  G16H30/40 ,  G16H50/20

    Abstract: A method is provided for processing images comprising retrieving measured data for a first image. The method then generates partially filtered data by applying a first filter to the measured data. The first filter is a generic filter. The method then reconstructs the partially filtered data to generate a partially filtered image. The method then generates a partially processed image by applying a first processing routine to the partially filtered image. The method then generates a filtered image by applying a second filter to the partially processed image, where the second filter is a filter selected from a plurality of potential secondary filters. The method then outputs the filtered image. Systems are provided for implementing the claimed method and training methods for neural networks used in the method are provided as well.

    SPECTRAL X-RAY CT IMAGING SYSTEM
    30.
    发明申请
    SPECTRAL X-RAY CT IMAGING SYSTEM 有权

    公开(公告)号：US20250057496A1

    公开(公告)日：2025-02-20

    申请号：US18720008

    申请日：2022-12-19

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： ROLAND PROKSA ,  THOMAS KOEHLER ,  MICHAEL GRASS ,  CHRISTIAN WUELKER ,  SEBASTIAN WILD

    IPC: A61B6/00 ,  A61B6/03 ,  A61B6/40 ,  A61B6/42

    Abstract: The present invention relates to a spectral X-ray CT imaging system (10), comprising: a spectral X-ray CT imaging unit (20); a processing unit (30); and an output unit (40). The spectral X-ray CT imaging unit comprises an X-ray tube (22) and a dual layer X-ray detector (24), and wherein a body portion of a subject to be examiner can be located between the X-ray tube and the dual layer X-ray detector. The spectral X-ray CT imaging unit is configured to acquire an overall scan of the body portion comprising a plurality of acquisitions at different projections angles. The processing unit is configured to utilize information on the body portion for each projection of the different projections angles. The processing unit is configured to determine a voltage for the X-ray tube for each acquisition of the plurality of acquisitions, wherein the determination for each acquisition comprises utilization of the corresponding information on the body portion for the projection associated with that acquisition. The processing unit is configured to control the spectral X-ray CT imaging unit to carry out an implemented overall scan of the body portion, wherein the control comprises controlling the X-ray tube to operate at the determined X-ray tube voltage for each acquisition of the plurality of acquisitions at the different projections angles. The processing unit is configured to receive data from the dual layer X-ray detector for each acquisition of the implemented overall scan. The processing unit is configured to implement a machine learning algorithm to determine material decomposition imagery of the body portion, wherein the determination comprises utilization of the data from the dual layer X-ray detector for each acquisition of the implemented overall scan and the determined X-ray tube voltage for each acquisition of the implemented overall scan. The output unit is configured to output the material decomposition imagery of the body portion.

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