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1. 发明授权

US09706968B2 Determining a residual mode image from a dual energy image 有权
公开(公告)号：US09706968B2
公开(公告)日：2017-07-18
申请号：US14774205
申请日：2014-03-14
申请人： KONINKLIJKE PHILIPS N.V. , PHILIPS DEUTSCHLAND GMBH
发明人： Rafael Wiemker , Thomas Buelow , Andre Goossen , Klaus Erhard , Martin Bergtholdt , Harald Sepp Heese
IPC分类号： G06T5/50 , A61B6/00 , G06T7/00 , G06T11/60 , G06T7/136
CPC分类号： A61B6/482 , A61B6/463 , A61B6/467 , A61B6/502 , A61B6/5235 , A61B6/54 , G06T5/50 , G06T7/0012 , G06T7/136 , G06T11/60 , G06T2207/10116 , G06T2207/20104 , G06T2207/30068 , G06T2210/41 , G06T2211/408
摘要： A digital image (40) comprises pixels with intensities relating to different energy levels. A method for processing the digital image (40) comprises the steps of: receiving first image data (42a) and second image data (42b) of the digital image (40), the first image data (42a) encoding a first energy level and the second image data (42b) encoding a second energy level; determining a regression model (44) from the first image data (42a) and the second image data (42b), the regression model (44) establishing a correlation between intensities of pixels of the first image data (42a) with intensities of pixels of the second image data (42b); and calculating residual mode image data (46) from the first image data (42a) and the second image data (42b), such that a pixel of the residual mode image data (46) has an intensity based on the difference of an intensity of the second image data (42b) at the pixel and a correlated intensity of the pixel of the first image data (42a), the correlated intensity determinate by applying the regression model to the intensity of pixel of the first image data (42a).

2. 发明授权

US10758212B2 Automatic depth scrolling and orientation adjustment for semi-automated path planning 有权
公开(公告)号：US10758212B2
公开(公告)日：2020-09-01
申请号：US14361884
申请日：2012-11-28
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Rafael Wiemker , Kongkuo Lu , Sheng Xu , Tobias Klinder , Martin Bergtholdt
IPC分类号： A61B10/02 , G06F3/0481 , G06F3/0484 , G06T19/00 , A61B34/10 , A61B34/00 , G16H40/40 , A61B90/00
摘要： A planning tool, system and method include a processor (114) and memory (116) coupled to the processor which stores a planning module (144). A user interface (120) is coupled to the processor and configured to permit a user to select a path through a pathway system (148). The planning module is configured to upload one or more slices of an image volume (111) corresponding to a user-controlled cursor point (108) guided using the user interface such that as the path is navigated the one or more slices are updated in accordance with a depth of the cursor point in the path.

3. 发明授权

US09858667B2 Scan region determining apparatus 有权
公开(公告)号：US09858667B2
公开(公告)日：2018-01-02
申请号：US14600030
申请日：2015-01-20
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Julien Senegas , Axel Saalbach , Martin Bergtholdt , Thomas Netsch , Peter Mazurkewitz
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62 , G06T7/73
CPC分类号： G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
摘要： A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.

4. 发明授权

US11915412B2 Cortical malformation identification 有权
公开(公告)号：US11915412B2
公开(公告)日：2024-02-27
申请号：US16475480
申请日：2018-01-03
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Lyubomir Georgiev Zagorchev , Fabien Wenzel , Martin Bergtholdt , Houchun Hu , Jeffrey Miller , Carsten Meyer
IPC分类号： G06T7/00 , G16H30/40 , G06T19/20
CPC分类号： G06T7/0012 , G06T19/20 , G16H30/40 , G06T2207/10088 , G06T2207/30016 , G06T2210/41 , G06T2219/028 , G06T2219/2012
摘要： A cortical malformation identification method includes quantitatively evaluating, using a processor of a computer that includes the processor and a memory, digital image data from a magnetic resonance imaging (MRI) scan on a cerebral cortex to produce quantified scan data. The method also includes automatically detecting a cortical malformation based on the quantified scan data. An image of the cerebral cortex may be color-coded so that the cortical malformation is shown in a different color than the remainder of the cerebral cortex in the image, based on the quantified scan data. Additionally or alternatively, a 3-dimensional representation of the cerebral cortex may be mapped to the quantified scan data to produce a mapped image of the cerebral cortex including the detected cortical malformation.

5. 发明授权

US11006907B2 Field of view adjustment 有权
公开(公告)号：US11006907B2
公开(公告)日：2021-05-18
申请号：US16500865
申请日：2018-12-24
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Julien Senegas , Martin Bergtholdt
IPC分类号： A61B6/00 , A61B6/08 , A61B6/06 , A61B5/00
摘要： The appropriate positioning of a patient in an X-Ray imaging system can present difficulties for medical professional owing, on one hand to the small size of important anatomical aspects which need to be captured in X-Ray images, and on the other hand to the significant movements in a field of view presented by a typical patient. The present application proposes to obtain an image of the position of a patient in the field of view at approximately the same time that an initial X-Ray image is obtained. If it proves necessary to obtain a subsequent X-Ray image with updated field of view settings (for example, collimation parameters), the movement of the patient at the point of taking the second image is factored into the provision of updated field of view settings.

6. 发明授权

US10586398B2 Medical image editing 有权
公开(公告)号：US10586398B2
公开(公告)日：2020-03-10
申请号：US15537360
申请日：2015-12-07
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Fabian Wenzel , Thomas Heiko Stehle , Carsten Meyer , Lyubomir Georgiev Zagorchev , Jochen Peters , Martin Bergtholdt
IPC分类号： G06T19/20 , G06T17/20
摘要： 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).

7. 发明申请

US20140289605A1 SYSTEM AND METHOD FOR INTERACTIVE IMAGE ANNOTATION 有权
标题翻译：用于交互式图像注释的系统和方法
公开(公告)号：US20140289605A1
公开(公告)日：2014-09-25
申请号：US14356394
申请日：2012-10-30
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Thomas Buelow , Kirsten Regina Meetz , Martin Bergtholdt
IPC分类号： A61B6/00 , G06F17/24 , G06F3/0484 , A61B8/00 , A61B5/00
CPC分类号： A61B6/468 , A61B5/7475 , A61B8/468 , G03F9/7069 , G03F9/7088 , G06F3/011 , G06F3/04845 , G06F17/2247 , G06F17/241 , G06F17/242 , G06F17/243 , G06F19/24 , G06T7/74 , G06T2207/10116 , G06T2207/20012 , G06T2207/20096 , G06T2207/20101 , G06T2207/30068 , G06T2207/30204
摘要： A system 100 for enabling interactive annotation of an image 102, comprising a user input 160 for receiving a placement command 162 from a user, the placement command being indicative of a first placement location of a marker 140 in the image 102, and a processor 180 arranged for (i) applying an image processing algorithm to a region 130 in the image, the region being based on the first placement location, and the image processing algorithm being responsive to image portions which visually correspond to the marker 140 for establishing a plurality of match degrees between, on the one hand, the marker, and, on the other hand, a plurality of image portions within the region, (ii) establishing a second placement location in dependence on the plurality of match degrees and the respective plurality of image portions for matching the marker 140 to the region in the image, and (iii) placing the marker 140 at the second placement location in the image 102.
摘要翻译：一种用于实现图像102的交互式注释的系统100，包括用户输入160，用于从用户接收放置命令162，所述放置命令指示标记140在图像102中的第一放置位置，以及处理器180 排列成：（i）将图像处理算法应用于图像中的区域130，该区域基于第一放置位置，并且图像处理算法响应于视觉对应于标记140的图像部分，用于建立多个一方面，标记之间的匹配度，另一方面，在该区域内的多个图像部分，（ii）根据多个匹配度和相应的多个图像建立第二放置位置用于将标记140与图像中的区域匹配的部分，以及（iii）将标记140放置在图像102中的第二放置位置。

8. 发明授权

US11334992B2 Computer-implemented method to increase the accuracy of machine learning models for medical image processing 有权
公开(公告)号：US11334992B2
公开(公告)日：2022-05-17
申请号：US16789489
申请日：2020-02-13
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Alexander Schmidt-Richberg , Martin Bergtholdt , Tobias Klinder
IPC分类号： G06T7/00 , G06K9/62 , G06T7/10 , G06N20/00
摘要： There is provided a computer implemented method (200) for medical image processing. The method comprises providing (202) a database of medical images and providing (204) an initial machine learning model which is trained for segmenting or classifying a medical feature in the medical images. The method also comprises extracting (206) a subset of medical images from the database based on a similarity score of the medical images and training (208) the machine learning model using the extracted subset of medical images in order to provide a refined machine learning model.

9. 发明授权

US10282917B2 Interactive mesh editing 有权
公开(公告)号：US10282917B2
公开(公告)日：2019-05-07
申请号：US15577355
申请日：2016-06-29
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Thomas Heiko Stehle , Fabian Wenzel , Carsten Meyer , Lyubomir Georgiev Zagorchev , Martin Bergtholdt , Jochen Peters
IPC分类号： G06T15/08 , G06T15/20 , G06T19/00 , G06T19/20 , A61B6/00 , A61B34/10
摘要： A system and method are provided for interactive editing of a mesh which has been applied to a three-dimensional (3D) image to segment an anatomical structure shown therein. To facilitate the interactive editing of the applied mesh, a view of the 3D image is generated which shows a mesh part to be edited, with the view being established based on a local orientation of the mesh part. Advantageously, the view may be generated to be substantially orthogonally to the mesh part, or to a centerline of the anatomical structure which is determined as a function of the mesh part. Accordingly, an orthogonal view is established which facilitates the user in carrying out the editing action with respect to the mesh part. It is therefore not needed for the user to manually navigate through the 3D image to obtain a view which is suitable for mesh editing, which is typically time consuming.

10. 发明授权

US10109048B2 Linking breast lesion locations across imaging studies 有权
公开(公告)号：US10109048B2
公开(公告)日：2018-10-23
申请号：US14893679
申请日：2014-06-20
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Thomas Buelow , Martin Bergtholdt , Rafael Wiemker , Kirsten Regina Meetz , Joerg Sabczynski , Dominik Berjamin Kutra
IPC分类号： G06K9/00 , G06T7/00 , G06T7/60 , G06T7/33
摘要： The present invention provides for means for linking breast lesion locations across imaging studies. In particular, a generic three-dimensional representation of the female breast is used. Automatic translation of the lesion location into standard clinical terminology and aligning the breast model with individual patient images is comprised. Moreover, a mechanism for linking image locations showing a lesion to a location in the breast model is presented. If desired, a region of interest can be calculated by a region of interest definition module that predicts a region of interest of a known lesion in terms of the breast model representation in a new imaging study.

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