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公开(公告)号:US20180005455A1
公开(公告)日:2018-01-04
申请号:US15537360
申请日:2015-12-07
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Fabian WENZEL , Thomas Heiko STEHLE , Carsten MEYER , Lyubomir Georgiev ZAGORCHEV , Jochen PETERS , Martin BERGTHOLDT
CPC classification number: G06T19/20 , G06T17/205 , G06T2200/24 , G06T2210/41 , G06T2219/2021
Abstract: The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device (50) is provided that comprises a processor unit (52), an output unit (54), and an interface unit (56). The processor unit (52) is configured to provide a 3D surface model of an anatomical structure of an object of interest. The 3D surface model comprises a plurality of surface sub-portions. The surface sub-portions each comprise a number of vertices, and each vertex is assigned by a ranking value. The processor unit (52) is further configured to identify at least one vertex of vertices adjacent to the determined point of interest as an intended vertex. The identification is based on a function of a detected proximity distance to the point of interest and the assigned ranking value. The output unit (54) is configured to provide a visual presentation of the 3D surface model. The interface unit (56) is configured to determine a point of interest in the visual presentation of the 3D surface model by interaction of a user. The interface unit 56 is further configured to modify the 3D surface model by displacing the intended vertex by manual user interaction. In an example, the output unit (54) is a display configured to display the 3D surface model directly to the user (58).
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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
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。
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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
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.
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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
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.
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公开(公告)号:US20220319010A1
公开(公告)日:2022-10-06
申请号:US17840708
申请日:2022-06-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rolf Jürgen WEESE , Alexandra GROTH , Jochen PETERS
Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.
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公开(公告)号:US20200250880A1
公开(公告)日:2020-08-06
申请号:US16637102
申请日:2018-07-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Alexandra GROTH , Jochen PETERS , Rolf Jürgen WEESE
IPC: G06T15/08 , G06T15/20 , G06T15/00 , G06T17/20 , G06T19/20 , G06F3/0484 , G06F3/0481
Abstract: A system and method are provided for volume rendering of image data of an image volume. A segmentation model is applied to the image data of the image volume, thereby delineating a sub-volume of the image volume. The image data inside the sub-volume is volume rendered. A user interface is provided which enables a user to interactively adjust the sub-volume by applying at least one of: a push action and a pull action to the sub-volume. The push action may cause part of the sub-volume to be pulled inwards, whereas the pull action may cause part of the sub-volume to be pulled outwards. The volume rendering of the sub-volume may be updated in response to a user's adjustment of the sub-volume.
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公开(公告)号:US20200005464A1
公开(公告)日:2020-01-02
申请号:US16492211
申请日:2018-03-02
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rolf Jürgen WEESE , Alexandra GROTH , Jochen PETERS
Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.
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