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    • 22. 发明申请
    • CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION
    • 选择用于图像分割的解剖学变体模型
    • WO2012035488A1
    • 2012-03-22
    • PCT/IB2011/053991
    • 2011-09-13
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHLORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • LORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • G06T7/00
    • G06T7/0012G06T7/12G06T7/149G06T15/08G06T17/00G06T2207/30004
    • The invention relates to a system (100) for segmenting an object in an image, comprising a first adapter (110) for adapting a first model for segmenting the object to the image, an analyzer (115) for extracting a feature from the image based on the adapted first model, a selector (120) for selecting a second model for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image, wherein the second model comprises additional detail of the object, an initializer (125) for initializing the second model based on the adapted first model and/or the feature extracted from the image, and a second adapter (130) for adapting the initialized second model to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model comprises the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features improves the accuracy of the second model adaptation.
    • 本发明涉及一种用于分割图像中的对象的系统(100),包括用于适配用于将对象分割成图像的第一模型的第一适配器(110),用于从图像中提取特征的分析器(115) 在适配的第一模型上,基于从图像提取的特征,选择器(120),用于从多个模型中选择用于分割对象的第二模型,用于分割对象,其中第二模型包括对象的附加细节, 用于基于所述适配的第一模型和/或从所述图像提取的特征来初始化所述第二模型的初始化器(125)和用于将所述初始化的第二模型适配到所述图像的第二适配器(130)。 基于适配的第一模型从图像提取的特征帮助系统(100)选择用于从多个模型分割对象的第二模型以分割对象。 适应的第一模型和/或提取的特征也用于初始化第二模型。 因为第二模型包括对象的附加细节,所以使用第二模型的分割结果比使用第一模型获得的分割结果更完整。 此外,基于适应的第一模型和/或检测到的特征的第二模型的初始化提高了第二模型适应的准确性。
    • 26. 发明申请
    • REDUCTION OF HEART MOTION ARTIFACTS IN THORACIC CT IMAGING
    • 减少心脏CT成像中心脏运动的影响
    • WO2008026141A2
    • 2008-03-06
    • PCT/IB2007/053403
    • 2007-08-27
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHBARSCHDORF, HansVON BERG, JensKUHN, Michael, H.LORENZ, CristianBLAFFERT, Thomas
    • BARSCHDORF, HansVON BERG, JensKUHN, Michael, H.LORENZ, CristianBLAFFERT, Thomas
    • G06T7/20A61B5/00
    • G06T7/251G06T7/149G06T7/33G06T2200/04G06T2207/10081G06T2207/30048G06T2207/30061G06T2211/412
    • The invention relates to a system (100) for adapting a plurality of model meshes to a plurality of image data, the system comprising a registration unit (110) for registering the plurality of model meshes with the plurality of image data on the basis of a computation of a registration transformation for transforming the plurality of model meshes, and an adaptation unit (120) for adapting the plurality of registered model meshes to the plurality of image data on the basis of a computation of locations of mesh vertices of the plurality of model meshes. The system (100) may further comprise a computing unit (130) for computing sparse vector fields comprising vectors of displacements of vertices of the adapted model meshes, an approximation unit (140) for computing dense vector fields on the basis of the sparse vector fields, a merge unit (150) for merging image data sets by means of the computed dense vector fields, and a reconstruction unit (155) for reconstructing a motion-compensated image data from the computed dense vector fields. The described system (100) is capable of reducing motion artifacts in tomographic images computed from data acquired at a plurality of different cardiac cycle phases.
    • 本发明涉及一种用于将多个模型网格适配到多个图像数据的系统(100),该系统包括登记单元(110),用于基于多个图像数据向多个图像数据登记多个模型网格 用于变换多个模型网格的注册变换的计算;以及适应单元,用于根据多个模型的网格顶点的位置的计算来将多个注册模型网格适配到多个图像数据 网格。 系统(100)还可以包括计算单元(130),用于计算包括适应模型网格的顶点位移矢量的稀疏矢量场,用于基于稀疏矢量场计算密集矢量场的近似单元(140) ,用于通过所计算的密集矢量场合并图像数据组的合并单元(150),以及用于从所计算的密集矢量场重构运动补偿图像数据的重建单元(155)。 所描述的系统(100)能够减少从在多个不同的心动周期阶段获取的数据计算的断层图像中的运动伪影。
    • 28. 发明申请
    • A METHOD, A SYSTEM AND A COMPUTER PROGRAM FOR SEGMENTING A SURFACE IN A MULTIDIMENSIONAL DATASET
    • 一种用于在多维数据集中表征表面的方法,系统和计算机程序
    • WO2006085257A2
    • 2006-08-17
    • PCT/IB2006/050379
    • 2006-02-06
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHVON BERG, JensLORENZ, Cristian
    • VON BERG, JensLORENZ, Cristian
    • G06T5/00
    • G06T7/149G06T7/11G06T2207/10088G06T2207/30048
    • The invention relates to a method of segmenting a surface in a multi¬ dimensional dataset comprising a plurality of images. In accordance with the method of the invention, at step 4 shape parameters and topology parameters for the object under consideration are acquired. Preferably that the multi-dimensional data set imaging the object is acquired at an acquisition step 1 and is subsequently stored in a computer-readable file 2. At step 5 the default shape parameters and topology parameters of a suitable segmentation algorithm 3 based on a deformable model are adapted with the value of the actual shape parameters and the topology parameters 4 for the given object. Subsequently, at step 6 the images constituting the multi-dimensional dataset are segmented using deformable model algorithm 6a with the adapted shape parameters and the adapted topology parameters yielding respective portions of the sought surface. After all sub-portions of the segmented surface are obtained for all images, the surface is tracked using per se known tracking algorithms 8a resulting in establishing spatial correspondence between said surface portions. Preferably, the method according to the invention is followed by the step of reconstructing 9 wherein for a given viewing angle the surface is reconstructed in virtual space. At step 11 the reconstructed surface is visualized on a suitable display means for user's analysis.
    • 本发明涉及一种在包含多个图像的多维数据集中分割表面的方法。 根据本发明的方法,在步骤4获取所考虑对象的形状参数和拓扑参数。 优选地,在获取步骤1获取成像对象的多维数据集,并且随后将其存储在计算机可读文件2中。在步骤5,基于可变形的合适的分割算法3的默认形状参数和拓扑参数 模型适用于给定对象的实际形状参数和拓扑参数4的值。 随后,在步骤6中,使用可变形模型算法6a,使用适配的形状参数和适配的拓扑参数来产生构成多维数据集的图像,产生所寻求表面的相应部分。 在对于所有图像获得分割表面的所有子部分之后,使用本身已知的跟踪算法8a跟踪表面,导致在所述表面部分之间建立空间对应。 优选地,根据本发明的方法之后是重建步骤9,其中对于给定的视角,表面在虚拟空间中重建。 在步骤11,重建的表面在合适的显示装置上可视化,以供用户分析。