公开(公告)号：US20160110869A1

公开(公告)日：2016-04-21

申请号：US14893980

申请日：2014-06-19

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Christian BUERGER ,  Irina WAECHTER-STEHLE ,  Jochen PETERS ,  Eberhard Sebastian HANSIS ,  Frank Michael WEBER ,  Tobias KLINDER ,  Steffen RENISCH

IPC: G06T7/00 ,  G01R33/56 ,  G06T7/60 ,  G06K9/46 ,  G06K9/62 ,  G06K9/52 ,  G01R33/48 ,  G06T11/00

CPC classification number: G06T7/0014 ,  G01R33/481 ,  G01R33/4828 ,  G01R33/56 ,  G01R33/5608 ,  G06K9/4661 ,  G06K9/52 ,  G06K9/6215 ,  G06K9/6267 ,  G06K2009/4666 ,  G06T7/37 ,  G06T7/60 ,  G06T7/73 ,  G06T11/003 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20048 ,  G06T2207/30008 ,  G06T2207/30061

Abstract: The present invention relates to a method for segmenting MR Dixon image data. A processor and a computer program product are also disclosed for use in connection with the method. The invention finds application in the MR imaging field in general and more specifically may be used in the generation of an attenuation map to correct for attenuation by cortical bone during the reconstruction of PET images. In the method, a surface mesh is adapted to a region of interest by: for each mesh element in the surface mesh: selecting a water target position based on a water image feature response in the MR Dixon water image; selecting a fat target position based on a fat image feature response in the MR Dixon fat image; and displacing each mesh element from its current position to a new position based on both its water target position and its corresponding fat target position.

Abstract translation: 本发明涉及一种用于分割MR Dixon图像数据的方法。 还公开了一种与该方法结合使用的处理器和计算机程序产品。 本发明通常在MR成像领域中应用，更具体地可以用于产生衰减图，以在PET图像的重建期间校正皮质骨的衰减。 在该方法中，表面网格通过以下方式适应于感兴趣区域：对于表面网格中的每个网格元素：基于MR Dixon水图像中的水图像特征响应来选择水目标位置; 基于MR Dixon胖图像中的脂肪图像特征响应来选择脂肪目标位置; 并且基于其水目标位置和其相应的脂肪目标位置，将每个网格元素从其当前位置移位到新位置。

公开(公告)号：US20220240910A1

公开(公告)日：2022-08-04

申请号：US17629465

申请日：2020-07-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Irina WAECHTER-STEHLE ,  Rolf Jürgen WEESE ,  Alexandra GROTH ,  Dirk SCHAEFER ,  Arne EWALD ,  Sven KROENKE

IPC: A61B17/00 ,  A61F2/24

Abstract: A system (SYS) for supporting a medical procedure, comprising an interface (IN) for receiving at least one medical input signal that describes a state of a target anatomy. A signal analyzer (SA) is configured to analyze the medical input signal to determine a time window for deployment of a cardio-vascular device (CL) to be deployed by a deployment.

公开(公告)号：US20200163645A1

公开(公告)日：2020-05-28

申请号：US16619216

申请日：2018-05-30

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Irina WAECHTER-STEHLE ,  Frank Michael WEBER ,  Tobias WISSEL

IPC: A61B8/08 ,  G06T7/10 ,  A61B8/00 ,  G06T7/30 ,  G06T7/00

Abstract: Provided is a method (200) for generating a combined anatomical model of a heart. The method comprises receiving (220) a non-contrast agent-enhanced ultrasound image of a left ventricular region of the heart and receiving (240) a contrast agent-enhanced ultrasound image of the left ventricular region of the heart. Image registration (260) is performed on the respective non-contrast agent-enhanced and contrast agent-enhanced ultrasound images, such that the respective images are aligned. Combined segmentation (270) of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images is then carried out to generate the combined anatomical model. The combined segmentation (270) uses features of both of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images as target points. Further provided is a processor arrangement adapted to implement the method and an ultrasound system comprising the processor arrangement. A computer program product comprising computer program code means adapted to implement the method is also provided.

公开(公告)号：US20220130523A1

公开(公告)日：2022-04-28

申请号：US17423179

申请日：2019-12-30

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Tobias WISSEL ,  Irina WAECHTER-STEHLE ,  Frank Michael WEBER ,  Arne EWALD

IPC: G16H30/40 ,  G06T7/136 ,  G06T7/143 ,  G06T7/174 ,  G06T7/11 ,  G06T7/00 ,  G06N20/00

Abstract: An image analysis method and device is for detecting failure or error in an image segmentation procedure. The method comprises comparing (14) segmentation outcomes for two or more images, representative of a particular anatomical region at different respective time points, and identifying a degree of consistency or deviation between them. Based on this derived consistency or deviation measure, a measure of accuracy of the segmentation procedure is determined (16).

公开(公告)号：US20200293690A1

公开(公告)日：2020-09-17

申请号：US16814249

申请日：2020-03-10

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Tim NIELSEN ,  Karsten SOMMER ,  Irina WAECHTER-STEHLE ,  Christophe Michael Jean SCHÜLKE ,  Frank Michael WEBER ,  Rolf Jürgen WEESE ,  Jochen PETERS

IPC: G06F21/62 ,  G16H10/60 ,  G16H30/20 ,  G06N20/00

Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

公开(公告)号：US20190251692A1

公开(公告)日：2019-08-15

申请号：US16343822

申请日：2017-10-20

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Alexander SCHMIDT-RICHBERG ,  Irina WAECHTER-STEHLE ,  Martin BERGTHOLDT ,  Jochen PETERS ,  Rolf Jürgen WEESE

IPC: G06T7/11 ,  G06T7/12 ,  G06T7/149 ,  G06T7/00

CPC classification number: G06T7/11 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/10132 ,  G06T2207/30048 ,  G16H30/40

Abstract: There is provided a method and apparatus for segmenting a two-dimensional image of an anatomical structure. A three-dimensional model of the anatomical structure is acquired (202). The three-dimensional model comprises a plurality of segments. The acquired three-dimensional model is adapted to align the acquired three-dimensional model with the two-dimensional image (204). The two-dimensional image is segmented by the plurality of segments of the adapted three-dimensional model.