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    DEVICE, SYSTEM AND METHOD FOR SEGMENTATION OF IMAGES
    1.
    发明申请
    DEVICE, SYSTEM AND METHOD FOR SEGMENTATION OF IMAGES 有权

    公开(公告)号：US20250061578A1

    公开(公告)日：2025-02-20

    申请号：US18724212

    申请日：2022-12-20

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： ALEXANDER SCHMIDT-RICHBERG ,  CHRISTIAN BUERGER ,  TOBIAS KLINDER

    IPC: G06T7/11 ,  G06V10/26

    Abstract: The present invention relates to a device, system and method for segmentation of images. The device comprises an input (20) configured to obtain image data including a first image slice of a plurality of image slices of a 3D image data set, first segmentation of the first image slice in which at least one object is segmented, and a second image slice of the plurality of image slices of the 3D image data set. A processing unit (21, 21a) is configured to compute a second segmentation of the second image slice based on the obtained image data by applying a trained algorithm or computing system that has been trained on a plurality of segmentations of a plurality of objects in a plurality of image slices onto the obtained image data to propagate the segmentation of the at least one object in the first segmentation from the first image slice to the second image slice and to compute a third segmentation of a third image slice arranged, within the 3D image data set, in between the first and second image slices. An output (22) is configured to output the second segmentation of the second image slice and the third segmentation of the third image slice.

    APPARATUS FOR ITERATIVE MATERIAL DECOMPOSITION OF MULTISPECTRAL DATA
    2.
    发明申请
    APPARATUS FOR ITERATIVE MATERIAL DECOMPOSITION OF MULTISPECTRAL DATA 有权

    公开(公告)号：US20210035291A1

    公开(公告)日：2021-02-04

    申请号：US16967446

    申请日：2019-02-01

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： RAFAEL WIEMKER ,  JÖRG SABCZYNSKI ,  TOBIAS KLINDER

    IPC: G06T7/00 ,  G06T5/00 ,  G16H30/40

    Abstract: The present invention relates to a method (200) for iterative material decomposition of multispectral image data. It is described to: a) provide (210) a plurality of spectral images of a region of interest comprising a body part; b) provide (220) a plurality of sets of material coefficients for a plurality of materials, wherein for a set of material coefficients each material coefficient is associated with a corresponding material, and wherein each set of material coefficients is associated with a corresponding spectral image of the plurality of spectral images; c) decompose (230) each spectral image of the plurality of spectral images into a plurality of material images and an offset image, wherein different material images correspond to different materials of the plurality of materials, and wherein a material image is represented by the material coefficient for the corresponding material multiplied by material concentrations at different image locations, and wherein the material coefficient is one of the material coefficients from the set of material coefficient for the corresponding spectral image; e) manipulate (240) at least one of the material images for each spectral image on the basis of at least one topological constraint relating to the body part to determine for each spectral image an updated plurality of material images and an offset image; f) recompose (250) a plurality of spectral images, wherein each recomposed spectral image is recomposed from the corresponding updated plurality of material images and the offset image; g) compare (260) intensities at image locations in a recomposed spectral image to the intensities at the image locations in its corresponding spectral image prior to recomposition to determine a plurality of corrections, wherein a correction is associated with an image location; i) modify (270) the updated plurality of material images for each spectral image comprising utilization of the corresponding plurality of corrections; j) iterate (280) steps e) to i) until convergence; and k) output (290) at least one of the recomposed spectral images at convergence and/or output at least one of the updated material images at convergence.

    APPARATUS FOR IDENTIFYING OBJECTS FROM AN OBJECT CLASS
    3.
    发明申请
    APPARATUS FOR IDENTIFYING OBJECTS FROM AN OBJECT CLASS 审中-公开

    公开(公告)号：US20190354816A1

    公开(公告)日：2019-11-21

    申请号：US16463390

    申请日：2017-12-01

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： RAFAEL WIEMKER ,  TOBIAS KLINDER ,  AXEL SAALBACH ,  JENS VON BERG

    IPC: G06K9/62 ,  G06K9/48 ,  G06T7/60 ,  G06T7/00 ,  G06T7/13

    Abstract: The invention relates to an apparatus for identifying a candidate object in image data and determining a likelihood that the candidate object is an object from an object class. The apparatus comprises an image data receiving unit for receiving image data of an object of the object class, a seed element selecting unit for selecting a portion of the image elements as seed elements, a contour point identifying unit for identifying, for each seed element (SE), contour points, the contour points of a seed element circumscribing a candidate object which comprises the seed element, and a seed score determining unit for determining, for each seed element, a seed score indicative of a likelihood that the candidate object is an object from the object class. The invention allows differentiation between an object of an object class of interest and artifacts.

    DEVICE AND METHOD FOR OBTAINING ANATOMICAL MEASUREMENTS FROM AN ULTRASOUND IMAGE
    4.
    发明申请
    DEVICE AND METHOD FOR OBTAINING ANATOMICAL MEASUREMENTS FROM AN ULTRASOUND IMAGE 有权

    公开(公告)号：US20210077062A1

    公开(公告)日：2021-03-18

    申请号：US16963680

    申请日：2019-01-09

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： NICOLE SCHADEWALDT ,  CRISTIAN LORENZ ,  ALEXANDER SCHMIDT-RICHBERG ,  TOBIAS KLINDER

    IPC: A61B8/08 ,  A61B8/00 ,  G06T7/62 ,  G06T7/00

    Abstract: The invention provides a method for making anatomical measurements using a captured ultrasound image representative of the anatomical region of interest. The method comprises receiving (20) data representative of a set of points selected by a user within the image and interpreting from the points a particular anatomical measurement type which the user is intending to perform. In particular, the points are processed to identify (24) a pattern or other geometrical characteristic of the points, and the location (22) of at least one of the points within the image is also identified. These two characteristics are used to identify from the set of points which measurement the operator is performing. Once the measurement is identified, an appropriate measurement template (26) is selected and applied in order to derive (30) from the set of points an anatomical measurement.

    SYSTEM AND METHOD FOR ASSESSING A PULMONARY IMAGE
    5.
    发明申请
    SYSTEM AND METHOD FOR ASSESSING A PULMONARY IMAGE 审中-公开

    公开(公告)号：US20200320705A1

    公开(公告)日：2020-10-08

    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

    IPC: G06T7/00 ,  G06T7/11 ,  G06T5/00 ,  A61N5/10

    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.

    DEVICE AND METHOD FOR MODELLING A COMPOSITION OF AN OBJECT OF INTEREST
    7.
    发明申请
    DEVICE AND METHOD FOR MODELLING A COMPOSITION OF AN OBJECT OF INTEREST 审中-公开

    公开(公告)号：US20200043173A1

    公开(公告)日：2020-02-06

    申请号：US16606249

    申请日：2018-04-18

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： RAFAEL WIEMKER ,  TOBIAS KLINDER ,  HEIKE RUPPERTSHOFEN ,  NICOLE SCHADEWALDT

    IPC: G06T7/12 ,  G06K9/62 ,  A61B6/03

    Abstract: The present invention relates to a method (100) for modelling a composition of an object of interest, the method comprising the following steps: a) segmenting (101) object of interest image data provided by computer tomography image data resulting in a plurality of image segments; b) extracting (102) a determined Hounsfield density value from the object of interest image data for each image segment; c) defining (104) a component ratio of at least two component classes for the object of interest, the at least two component classes having different component Hounsfield density values; d) assigning (105) at least one component class to each image segment based on the corresponding determined Hounsfield density value resulting in simulated image segments comprising the component Hounsfield density values, the simulated image segments defining simulated image data of the object of interest; wherein a ratio of the assigned component classes corresponds to the component ratio; e) determining (107) a deviation between the simulated image data and the object of interest image data; and f) repeating (108) steps c) to e) with varied component ratios until the deviation corresponds to a predefined minimum deviation resulting in a final component ratio.

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