公开(公告)号：US10223795B2

公开(公告)日：2019-03-05

申请号：US15325096

申请日：2015-06-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nicole Schadewaldt ,  Heinrich Schulz ,  Daniel Bystrov ,  Astrid Ruth Franz

IPC: G06K9/00 ,  G06T7/12 ,  G06T7/149 ,  G06T7/00

Abstract: A device for segmenting an image of a subject (36), includes a data interface for receiving an image of the subject (36), which image depicts a structure of said subject (36). A translation unit translates a user-initiated motion of an image positioner into a first contour (38) surrounding said structure. A motion parameter registering unit registers a motion parameter of said user-initiated motion to said first contour (38). The motion parameter includes a speed and/or an acceleration of an image positioner. An image control point unit distributes a plurality of image control points (40) on the first contour with a density decreasing with the motion parameter. A segmentation unit segments the image by determining a second contour (44) within the first contour based on the plurality of image control points (40). The segmentation unit is configured to use one or more segmentation functions.

公开(公告)号：US10133348B2

公开(公告)日：2018-11-20

申请号：US15518820

申请日：2015-10-10

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Kongkuo Lu ,  Eric Cohen-Solal ,  Yuechen Qian ,  Gabriel Ryan Mankovich ,  Axel Saalbach ,  Daniel Bystrov

IPC: G06K9/00 ,  G06F3/01 ,  G06K9/32 ,  G06F3/0484 ,  G06T7/11

Abstract: A region of interest segmentation system includes a display device, a gaze-tracking device, a gaze point collector, a boundary identifier, and a region identifier. The display device displays an image. The gaze-tracking device, generates gaze points relative to the displayed image. The gaze point collector selects gaze points from the generated gaze points corresponding to a region of interest of the displayed image. the boundary identifier estimates a boundary based on the selected gaze points. The region identifier segments the region of interest based on the estimated boundary.

公开(公告)号：US20180330505A1

公开(公告)日：2018-11-15

申请号：US15774623

申请日：2016-11-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Daniel Bystrov ,  Dominik Benjamin Kutra

IPC: G06T7/11 ,  G06T7/00 ,  G06F3/0484 ,  G06F3/0485

Abstract: A system and a computer-implemented method are provided far segmenting an object in a medical image using a graphical segmentation interface. The graphical segmentation interface may comprise a set of segmentation tools tier enabling a user to obtain a first segmentation of the object in the image. This first segmentation may be represented by segmentation data. Interaction data may be obtained which is indicative of a set of user interactions of the user with the graphical segmentation interface by which the first segmentation of the object was obtained. The system may comprise a processor configured for analyzing the segmentation data and the interaction data to determine an optimized set of user interactions which, when carried out by the user, obtains a second segmentation similar to the first segmentation, yet in a quicker and more convenient manner. A video may be generated for training the user by indicating the optimized set of user interactions to the user.

公开(公告)号：US09691156B2

公开(公告)日：2017-06-27

申请号：US14374923

申请日：2013-01-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Torbjørn Vik ,  Daniel Bystrov ,  Heinrich Schulz ,  Nicole Schadewaldt ,  Jochen Peters

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  G06T7/12 ,  G06T7/143

CPC classification number: G06T7/143 ,  G06K9/6206 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/20076 ,  G06T2207/20096 ,  G06T2207/20128 ,  G06T2207/20216 ,  G06T2207/30004

Abstract: The invention relates to a labeling apparatus (1) for labeling structures of an object shown in an object image. A probability map providing unit (3) provides a probability map, the probability map indicating for different labels, which are indicative of different structures of the object, and for different positions in the probability map the probability that the respective structure, which is indicated by the respective label, is present at the respective position, wherein the probability depends on the position in the probability map. The probability map is mapped to the object image by a mapping unit (4), wherein a label assigning unit (5) assigns to a provided contour, which represents a structure in the object image, a label based on the mapped probability map. This allows automatically labeling structures of the object, which are indicated by provided contours in the object image, with relatively low computational efforts.