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.

公开(公告)号：US20230050190A1

公开(公告)日：2023-02-16

申请号：US17797786

申请日：2021-02-05

Applicant: KONINKLIJKE PHILIPS N.V.

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

IPC: G06T7/149 ,  G06T7/12 ,  G06T7/11 ,  G06T17/20

Abstract: A method and system for mapping boundary detecting features of at least one source triangulated mesh of known topology to a target triangulated mesh of arbitrary topology. A region of interest in a volumetric image associated with each triangle of the target triangulated mesh is provided to a feature mapping network. The feature mapping network assigns a feature selection vector to each triangle of the target triangulated mesh. The associated region of interest and assigned feature selection vector for each triangle of the target triangulated mesh are provided to a boundary detection network. A predicted boundary based on features of the associated region of interest selected by the assigned feature selection vector is obtained from the boundary detection network.

公开(公告)号：US20240202943A1

公开(公告)日：2024-06-20

申请号：US18539976

申请日：2023-12-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： ALEXANDER SCHMIDT-RICHBERG ,  SVEN PETER PREVRHAL ,  RAFAEL WIEMKER ,  TOBIAS KLINDER ,  HEIKE CAROLUS ,  DIRK SCHAEFER

IPC: G06T7/30 ,  G06T7/11 ,  G06T11/00

CPC classification number: G06T7/30 ,  G06T7/11 ,  G06T11/006 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2210/41

Abstract: The present invention relates to a computer-implemented method for generating a simulated CBCT image based on a computed tomography image. A computed tomography image is converted into attenuation coefficients of the represented tissue, and the computed tomography image is forward-projected to a projection image based on scanner parameters of a simulated CBCT scanner. After the addition of artificial noise to the projection image representing noise detected by the simulated CBCT scanner, the projection image is back-projected with a reconstruction algorithm for the generation of a simulated CBCT image of the subject. The present invention relates further to a method for generating training data for training an artificial intelligence module based on the simulated images, and to methods for registering a computed tomography image to a CBCT image and for segmenting a CBCT image with an artificial intelligence module trained with training data comprising the simulated CBCT images.

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.