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.

公开(公告)号：US20230030618A1

公开(公告)日：2023-02-02

申请号：US17785071

申请日：2020-12-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  TOM BROSCH ,  HRISHIKESH NARAYANRAO DESHPANDE ,  ANDRÉ GOOSSEN ,  TIM PHILIPP HARDER ,  AXEL SAALBACH

IPC: G06T7/60 ,  G06T7/00 ,  G06T7/11

Abstract: A computer implemented method of making a measurement associated with a feature of interest in an image. The method comprises using (302) a model trained using a machine learning process to take the image as input and predict a pair of points between which to make the measurement of the feature of interest in the image. The method then comprises determining (304) the measurement, based on the predicted pair of points.

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.

公开(公告)号：US20200175674A1

公开(公告)日：2020-06-04

申请号：US16616125

申请日：2018-05-25

Applicant: KONINKLIJKE PHILIPS N.V.

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

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/73 ,  G16H30/40

Abstract: A system (100) comprises a segmenter (130) and a quantification tool (140). The segmenter segments a lesion (102) in a medical image (104). The quantification tool (140) quantifies an aspect of the segmented lesion according to a set of parameters, wherein the quantified aspect includes spiculation, heterogeneity, vascularization or combinations thereof.

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.

公开(公告)号：US20170200256A1

公开(公告)日：2017-07-13

申请号：US15315402

申请日：2015-06-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  THOMAS BUELOW ,  TOBIAS KLINDER ,  MARTIN BRGTHOLDT ,  IRINA WAECHTER-STEHLE

IPC: G06T3/00 ,  G06F19/00 ,  G06T19/20 ,  G06T7/11 ,  G06T7/194

CPC classification number: G06T3/0093 ,  G06F19/321 ,  G06T7/11 ,  G06T7/194 ,  G06T15/08 ,  G06T19/00 ,  G06T19/20 ,  G06T2207/10081 ,  G06T2210/41

Abstract: Image processing method or apparatus (IP) to transform a 3D image data set (DS) into a visually protected one (DSX). The 3D image set includes an object region (OR) and a background region (BR) that defines s silhouette of an imaged object (P). An inadvertent or malicious direct volume rendering of the silhouette (IF) of the object is prevented by applying a randomization operation to at least the background region (BR).

公开(公告)号：US20250054151A1

公开(公告)日：2025-02-13

申请号：US18719292

申请日：2022-12-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： TANJA LOSSAU ,  TOBIAS KLINDER ,  HEIKE CAROLUS ,  RAFAEL WIEMKER ,  TOM BROSCH

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/40 ,  G06T7/62 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30

Abstract: According to an aspect, there is provided a computer implemented method of processing an image of a subject comprising lymph nodes, the method comprising: segmenting lymph nodes in image data corresponding to the image, delineating lymph nodes from the segmented image data, classifying a lymph node as belonging to a predefined region, evaluating a region of the image based on an assessment of the risk of the region comprising a malign lymph node, and indicating the evaluation of the region.

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：US20240090849A1

公开(公告)日：2024-03-21

申请号：US18038546

申请日：2021-11-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： RAFAEL WIEMKER ,  LIRAN GOSHEN ,  HANNES NICKISCH ,  CLAAS BONTUS ,  TOM BROSCH ,  JOCHEN PETERS ,  ROLF JÜRGEN WEESE

IPC: A61B5/00 ,  A61B5/055 ,  G06V10/44 ,  G06V10/764

CPC classification number: A61B5/7425 ,  A61B5/055 ,  G06V10/44 ,  G06V10/764

Abstract: The present invention relates to multispectral imaging. In order to improve an identification of relevant multispectral material transitions (in particular caused by injected contrast agent), an apparatus is proposed to use the local maxima of the variances and/or covariances of the intensities of the multi-channel images to locate material transitions. In comparison to gradient vectors, the local variance is not directed and not prone to noise. An alternative apparatus is proposed to use the local covariance deficits of the intensities of the multi-channel images to locate material transitions. The proposed alternative approach is independent of spatial drifts across the image volume.

公开(公告)号：US20240037754A1

公开(公告)日：2024-02-01

申请号：US18266030

申请日：2021-12-07

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： JÖRG SABCZYNSKI ,  RAFAEL WIEMKER ,  TOBIAS KLINDER

IPC: G06T7/13 ,  G06T7/00 ,  G06T17/20 ,  G16H30/40 ,  A61B6/00

CPC classification number: G06T7/13 ,  G06T7/0012 ,  G06T17/20 ,  G16H30/40 ,  A61B6/5205 ,  G06T2207/10081 ,  G06T2210/41 ,  G06T2207/30028 ,  G06T2210/56

Abstract: A method for identifying a material boundary within volumetric image data is based on use of a model boundary transition function, which models the expected progression of voxel values across the material boundary, as a function of distance. Each voxel is taken in turn, and voxel values within a subregion surrounding the voxel are fitted to the model function, and the corresponding fitting parameters are derived, in addition to a parameter relating to quality of the model fit. Based on these parameters for each voxel, for each of at least a subset of the voxels, a candidate spatial point is identified, estimated to lie on the material boundary within the 3-D image dataset. The result is a cloud of candidate spatial points which spatially correspond to the outline of the boundary wall. Based on these, a representation of the boundary wall can be generated, for example a surface mesh.