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公开(公告)号:US20210077191A1
公开(公告)日:2021-03-18
申请号:US16619954
申请日:2018-06-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Joerg SABCZYNSKI , Christian BUERGER , Michael GRASS
Abstract: There is provided a computer-implemented method (200) and apparatus for determining a transformation for anatomically aligning fragments of a broken bone. An image of the broken bone of the subject is acquired (202). The bone is broken into two or more fragments. A model of a corresponding unbroken bone and at least one parameter is acquired. The at least one parameter defines one or more deformations to the model that are permitted when fitting portions of the model of the unbroken bone to corresponding fragments of the broken bone (204). Portions of the model of the unbroken bone are fit to corresponding fragments of the broken bone based on the at least one parameter (206). A transformation is determined that anatomically aligns the fragments of the broken bone with the corresponding portions of the model (208).
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公开(公告)号:US20190206069A1
公开(公告)日:2019-07-04
申请号:US16099484
申请日:2017-05-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christian BUERGER , Michael GRASS , Drazenko BABIC
CPC classification number: G06T7/32 , A61B34/20 , A61B90/37 , A61B2034/2051 , A61B2034/2057 , A61B2034/2065 , A61B2034/2072 , A61B2090/367 , A61B2090/376 , G06T3/0068 , G06T7/33 , G06T7/337 , G06T2207/10024 , G06T2207/10116 , G06T2207/30004
Abstract: A system and method of assisting a treatment procedure is provided, the method comprising the steps of determining a 3-D intervention vector in relation to an inner body structure of a body of interest based on a 3-D x-ray image, determining a 3-D position of an entry point on an outer surface of the body of interest based on the intervention vector, comparing the position and/or orientation of the inner body structure in the 3-D x-ray image with the position and/or orientation of the inner body structure in an additional 2-D x-ray image being generated transverse to the intervention vector, correcting the 3-D position of the entry point on the outer surface of the body of interest based on a deviation detected in the comparing step.
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公开(公告)号:US20190133690A1
公开(公告)日:2019-05-09
申请号:US16096367
申请日:2017-04-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christian BUERGER , Christian LORENZ , Michael GRASS
Abstract: The present invention relates to a device (2) for determining an optimal placement of a pedicle screw (4), comprising a processing unit (14), wherein the processing unit is configured to receive a model data set representing a model surface (22) of a human vertebra model (18) and a pedicle screw model (30) being optimally placed in a span of a pedicle section (28) of the model surface, wherein the processing unit is configured to receive 5 image data representing a surface image (26) of at least one human vertebra (6), GO and wherein the processing unit is configured to adapt the model data set for each of a number of the at least one human vertebra, such that an adapted model data set representing a correspondingly adapted model surface (36), which fits to the surface image of the respective human vertebra, is provided for each of the number of the at least one human vertebra, wherein each of the 10 adapted model data sets also represents a correspondingly adapted pedicle screw model (38). The present invention further relates to a corresponding method, a corresponding computer program element and a corresponding computer readable medium.
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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:US20230091213A1
公开(公告)日:2023-03-23
申请号:US17782871
申请日:2020-12-02
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christian HAASE , Christian BUERGER
Abstract: The present invention relates to matching a field of view for mobile 3D imaging, for example mobile C-arm 3D imaging In order to provide image data that is improved for comparing purposes, for example when using a mobile X-ray imaging system, first location information of a first reconstruction volume based on a first sequence of X-ray images of a region of interest of a subject acquired along a first trajectory in a first position of an X-ray imaging device is received. Further, a planned second trajectory for acquiring a second sequence of X-ray images in a second position of the X-ray imaging device is received and a resulting second reconstruction volume for the second sequence of X-ray images is calculated. Then, second location information for the second reconstruction volume is determined. Further, a degree of comparability for the first reconstruction volume and the second reconstruction volume is determined based on the first location information and the second location information. An adapted second trajectory is calculated that results in.
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公开(公告)号:US20210350544A1
公开(公告)日:2021-11-11
申请号:US17282008
申请日:2019-09-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Steffen RENISCH , Christian BUERGER
Abstract: The invention provides for a medical apparatus (100, 400, 600) comprising a memory (110) for storing machine executable instructions (120) and a processor (104) for controlling the medical apparatus. Execution of the machine executable instructions causes the processor to: receive (200) a medical image (122) descriptive of a three-dimensional anatomy of a subject (418); and provide (202) an image segmentation (124) by segmenting the medical image into multiple tissue regions (300, 302) using a model-based segmentation. The model-based segmentation assigns a tissue type to each of the multiple regions. The model-based segmentation has a surface mesh (304). The segmentation is corrected by using the tissue type assigned to each of the multiple regions to correct for partial volume effects at boundaries formed by the surface mesh between at least some of the multiple tissue regions.
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公开(公告)号:US20190251693A1
公开(公告)日:2019-08-15
申请号:US16332859
申请日:2017-09-21
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christian BUERGER , Jens WIEGERT , Steffen RENISCH
CPC classification number: G06T7/149 , A61B6/00 , G06T7/12 , G06T7/174 , G06T2207/20092 , G06T2207/20101 , G06T2207/30004 , G06T2207/30196
Abstract: The present invention relates to an apparatus for adaptive contouring of a body part. It is described to provide (210) at least one image; wherein, the at least one image comprises a first image comprising image data of a body part. An initial automatic model based segmentation of image data of the body part in the first image is determined (220). Final segmentation data of the body part is determined (230) in response to a modification of the initial automatic model based segmentation. An updated model based segmentation can be applied (240) on the basis of the initial automatic model based segmentation and the final segmentation data.
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