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1.发明申请公开(公告)号：US20160310090A1
公开(公告)日：2016-10-27
申请号：US15102554
申请日：2014-11-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Tobias KLINDER , Cristian LORENZ , Martin BERGTHOLDT , Rafael WIEMKER
CPC classification number: A61B6/488 , A61B5/055 , A61B6/03 , A61B6/032 , A61B6/037 , A61B6/50 , A61B6/5235 , A61B6/5264 , A61B6/5288 , A61B6/541 , G01R33/543 , G06T3/4038 , G06T5/003 , G06T7/0014 , G06T7/11 , G06T7/30 , G06T7/37 , G06T2207/10072 , G06T2207/10081 , G06T2207/20201 , G06T2207/20221
Abstract: A method includes determining a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The method further includes registering first volumetric scan image data and second volumetric scan image data based on the registration transform. The method further includes generating registered image data. A system (100) includes a pre-scan registerer (122) that determines a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The system further includes a volume registerer (126) that registers first volumetric scan image data and second volumetric scan image data based on the registration transform, generating registered image data.
Abstract translation: 一种方法包括基于预定的注册算法来确定第一三维预扫描图像数据与第二三维预扫描图像数据之间的登记变换。 该方法还包括基于注册变换来记录第一体积扫描图像数据和第二体积扫描图像数据。 该方法还包括产生注册的图像数据。 系统（100）包括预扫描注册器（122），其基于预定的注册算法确定第一三维预扫描图像数据与第二三维预扫描图像数据之间的注册变换。 该系统还包括基于注册变换来登记第一体积扫描图像数据和第二体积扫描图像数据的体积注册器（126），产生注册的图像数据。
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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：US20160307360A1
公开(公告)日：2016-10-20
申请号：US15100994
申请日：2014-11-28
Applicant: Koninklijke Philips N.V.
Inventor： Rafael WIEMKER , Tobias KLINDER , Martin BERGTHOLDT , Cristian LORENZ
CPC classification number: G06T15/08 , A61B6/032 , A61B6/466 , A61B6/5223 , A61B6/5235 , G06T7/0002 , G06T7/30 , G06T15/06 , G06T2207/10081 , G06T2210/41
Abstract: A method for processing image data includes obtaining a first set of 3D volumetric image data. The 3D volumetric image data includes a volume of voxels. Each voxel has an intensity. The method further includes obtaining a local voxel noise estimate for each of the voxels of the volume. The method further includes processing the volume of voxels based at least on the intensity of the voxels and the local voxel noise estimates of the voxels. An image data processor (124) includes a computer processor that at least one of: generate a 2D direct volume rendering from first 3D volumetric image data based on voxel intensity and individual local voxel noise estimates of the first 3D volumetric image data, or registers second 3D volumetric image data and first 3D volumetric image data based at least one individual local voxel noise estimates of second and first 3D volumetric image data sets.
Abstract translation: 一种处理图像数据的方法包括获得第一组3D体积图像数据。 3D体积图像数据包括体素的体积。 每个体素都有一个强度。 该方法还包括获得体积中每个体素的局部体元噪声估计。 该方法还包括至少基于体素的强度和体素的局部体元噪声估计来处理体素的体积。 图像数据处理器（124）包括计算机处理器，其至少以下之一：基于体素强度和第一3D体积图像数据的各个局部体元噪声估计从第一3D体积图像数据生成2D直接体绘制，或者将第二3D体积图像数据寄存器 基于第二和第一3D体积图像数据集的至少一个单独局部体素噪声估计的3D体积图像数据和第一3D体积图像数据。
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公开(公告)号：US20200265579A1
公开(公告)日：2020-08-20
申请号：US16789489
申请日：2020-02-13
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Alexander SCHMIDT-RICHBERG , Martin BERGTHOLDT , Tobias KLINDER
Abstract: 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.
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公开(公告)号：US20150139520A1
公开(公告)日：2015-05-21
申请号：US14600030
申请日：2015-01-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Julien SENEGAS , Axel SAALBACH , Martin BERGTHOLDT , Thomas NETSCH , Peter MAZURKEWITZ
IPC: G06T7/00
CPC classification number: G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
Abstract: 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.
Abstract translation: 一种方法包括显示人体的标志性图像和预定解剖区域的列表。 该方法还包括响应于用户选择的解剖区域显示在标志性图像的子部分上方的扫描盒。 该方法还包括接收指示相关于第一用户的解剖区域的感兴趣的扫描盒位置或感兴趣的扫描盒几何图形中的至少一个的输入。 该方法还包括重新定位或改变第一初始扫描盒的几何形状中的至少一个，响应于此，为第一用户创建第一用户定义的扫描盒。 该方法还包括在代表所选择的解剖区域的第一模板图像与标示图像之间创建用于第一用户的第一用户定义的扫描盒的第一变换，以及存储第一变换。
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Patent Agency Ranking
公开(公告)号：US20210282700A1
公开(公告)日：2021-09-16
申请号：US16492179
申请日：2018-03-01
Applicant: KONINKLIJKE PHILIPS N.V. , PHOENIX CHILDREN'S HOSPTIAL
Inventor： Lyubomir Georgiev ZAGORCHEV , Fabian WENZEL , Carsten MEYER , Martin BERGTHOLDT , Houchun HU , Jeffrey MILLER
Abstract: A seizure characterization method includes correlating locations of electrodes placed around a brain and used to produce sequential electroencephalography (EEG) signals with a three-dimensional anatomical brain model derived from magnetic resonance imaging (MRI). The sequential EEG signals are modelled from the electrodes placed around the brain in three dimensions using cortical and sub-cortical brain regions included in the brain model to define constraints for the numerical solution. Amounts of the sequential EEG signals are quantified in three dimensions relative to the brain regions included in the brain model. The method also includes establishing, based on the quantifying, at least one propagation pattern of the sequential EEG signals in time relative to the brain regions in the brain model.
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7.发明申请公开(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：US20180075642A1
公开(公告)日：2018-03-15
申请号：US15822482
申请日：2017-11-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rafael WIEMKER , Tobias KLINDER , Martin BERGTHOLDT , Cristian LORENZ
Abstract: A method for processing image data includes obtaining a first set of 3D volumetric image data. The 3D volumetric image data includes a volume of voxels. Each voxel has an intensity. The method further includes obtaining a local voxel noise estimate for each of the voxels of the volume. The method further includes processing the volume of voxels based at least on the intensity of the voxels and the local voxel noise estimates of the voxels. An image data processor (124) includes a computer processor that at least one of: generate a 2D direct volume rendering from first 3D volumetric image data based on voxel intensity and individual local voxel noise estimates of the first 3D volumetric image data, or registers second 3D volumetric image data and first 3D volumetric image data based at least one individual local voxel noise estimates of second and first 3D volumetric image data sets.
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9.发明申请ONE OR MORE TWO DIMENSIONAL (2D) PLANNING PROJECTION IMAGES BASED ON THREE DIMENSIONAL (3D) PRE-SCAN IMAGE DATA 审中-公开基于三维（3D）预扫描图像数据的一个或多个二维（2D）规划投影图像公开(公告)号：US20160287201A1
公开(公告)日：2016-10-06
申请号：US15035565
申请日：2014-10-31
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Martin BERGTHOLDT , Rafael WIEMKER , Cristian LORENZ , Tobias KLINDER
CPC classification number: A61B6/5223 , A61B6/032 , A61B6/4435 , A61B6/488
Abstract: A method includes obtaining 3D pre-scan image data generated from a scan of a subject. The 3D pre-scan image data includes voxels that represent a tissue of interest. The method further includes generating a 2D planning projection image showing the tissue of interest based on the 3D pre-scan image data. A system includes a 2D planning projection image from 3D pre-scan image data generator (218). The 2D planning projection image from 3D pre-scan image data generator obtains 3D pre-scan image data generated from a scan of a subject. The 3D pre-scan image data includes voxels that represent a tissue of interest. The 2D planning projection image from 3D pre-scan image data generator further generates a 2D planning projection image showing the tissue of interest based on the 3D pre-scan image data.
Abstract translation: 一种方法包括获得从对象的扫描生成的3D预扫描图像数据。 3D预扫描图像数据包括表示感兴趣的组织的体素。 该方法还包括基于3D预扫描图像数据生成显示感兴趣组织的2D规划投影图像。 系统包括来自3D预扫描图像数据生成器（218）的2D规划投影图像。 来自3D预扫描图像数据发生器的2D规划投影图像获得从被摄体的扫描生成的3D预扫描图像数据。 3D预扫描图像数据包括表示感兴趣的组织的体素。 来自3D预扫描图像数据发生器的2D规划投影图像进一步基于3D预扫描图像数据生成显示感兴趣组织的2D规划投影图像。
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公开(公告)号：US20160012586A1
公开(公告)日：2016-01-14
申请号：US14768236
申请日：2014-02-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Julien SENEGAS , Axel SAALBACH , Martin BERGTHOLDT , Thomas NETSCH , Peter MAZURKEWITZ
CPC classification number: G06T7/0014 , G06K9/6269 , G06T7/74 , G06T2207/10081 , G06T2207/10104
Abstract: The invention relates to a scan region determining apparatus (12) for determining a scan region of a subject to be scanned by a scanning system (10) like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.
Abstract translation: 本发明涉及一种扫描区域确定装置（12），用于通过像计算机断层摄影系统的扫描系统（10）确定要扫描的对象的扫描区域。 确定定义相对于彼此的概览图像和模板图像的登记的空间变换，其中，首先通过使用指示对象的元素的位置的元素位置指示符来登记概览图像和模板图像 相对于概览图像。 相对于模板图像定义模板扫描区域，其中通过使用确定的空间变换将模板扫描区域投影到概览图像上来确定最终扫描区域。 空间转换的注册和确定非常强大，这提高了确定最终扫描区域的质量。
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