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    • 1. 发明申请
    • AUTOMATIC POINT-WISE VALIDATION OF RESPIRATORY MOTION ESTIMATION
    • 呼吸运动估计的自动点智慧验证
    • US20130108117A1
    • 2013-05-02
    • US13808607
    • 2011-07-05
    • Sven KabusTobias KlinderCristian Lorenz
    • Sven KabusTobias KlinderCristian Lorenz
    • G06T7/20
    • G06T7/20G06T3/0081G06T7/0016G06T7/30G06T2207/10081G06T2207/30061
    • A system for validating motion estimation comprising a field unit (110) for obtaining a deformation vector field (DVF) estimating the motion by transforming a first image at a first phase of the motion into a second image at a second phase of the motion, a metric unit (120) for computing a metric of a local volume change at a plurality of locations, and a conformity unit (130) for computing a conformity measure based on the computed metric of the local volume change at the plurality of locations and a local property of the first or second image defined at the plurality of locations. Based on the value of the conformity measure, the DFV estimating the motion is validated. Experiments show that the conformity measure based on the computed metric of a local volume change at a plurality of locations and the local property of the first or second image, defined at the plurality of locations, does not necessarily favor a large weight for the outer force to provide a more accurate registration. One reason for this observation may be that large deformations providing more accurate alignment often lead to deformations resulting in unreasonably large volume changes. DVFs comprising such deformations thus are more likely to be discarded by the system of the invention.
    • 一种用于验证运动估计的系统,包括:场单元(110),用于通过在运动的第二阶段将运动的第一阶段的第一图像变换为第二图像来获得估计运动的变形矢量场(DVF); 用于计算多个位置处的本地卷变化的度量的度量单位(120),以及用于基于所计算的所述多个位置处的本地卷变化的度量的度量单位(130)以及局部 在多个位置定义的第一或第二图像的属性。 根据合格度的值,对运动的DFV进行了验证。 实验表明,基于多个位置处的局部体积变化的计算度量和在多个位置处限定的第一或第二图像的局部属性的一致性度量不一定有利于外力的大重量 提供更准确的注册。 这种观察的一个原因可能是提供更精确对准的大变形通常导致变形,导致不合理地大的体积变化。 包括这种变形的DVF因此更可能被本发明的系统丢弃。
    • 2. 发明授权
    • Model-based coronary centerline localization
    • 基于模型的冠状动脉中心线定位
    • US08160332B2
    • 2012-04-17
    • US12443490
    • 2007-09-28
    • Jens Von BergBernd HofmannCristian LorenzOlivier EcabertJochen PetersJuergen Weese
    • Jens Von BergBernd HofmannCristian LorenzOlivier EcabertJochen PetersJuergen Weese
    • G06K9/00
    • G06T7/30A61B5/055A61B6/504A61B6/5229A61B8/0891A61B8/5238G06F19/00G06T2207/20044G06T2207/30101Y10S128/922
    • The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.
    • 本发明涉及一种用于根据包括参考对象模型和血管模型的联合模型将具有图像数据集的血管模型登记的系统(100),所述系统包括:放置单元(110),用于将所连接的模型放置在 图像数据集合的空间,从而创建包括放置的参考对象模型和放置的容器模型的放置的连接模型; 计算单元(120),用于基于地标位移场计算变形场,所述地标位移场包括相对于所述图像数据组中的对应地标放置的所述参考对象模型的界标的位移; 变换单元(130),用于使用变形场来变换放置的接合模型,从而创建包括变换的参考对象模型和变换的容器模型的变换的连接模型; 以及注册单元(140),用于基于修改所述经变换的血管模型并优化所述经修改的转化的血管模型的目标函数,将经变换的血管模型与所述图像数据集进行登记,其中所述目标函数包括基于 修改的转化血管模型相对于转化的连接模型的定位。 因此,该系统被设置成考虑到血管模型相对于由参考模型描述的参考解剖结构的定位来建模血管。
    • 4. 发明申请
    • PATIENT SPECIFIC ANATIOMICAL SKETCHES FOR MEDICAL REPORTS
    • 患者特殊用途医疗报告草图
    • US20110169864A1
    • 2011-07-14
    • US13120181
    • 2009-09-17
    • Cristian LorenzSebastian Peter Michael DriesSteffen RenischJens Von Berg
    • Cristian LorenzSebastian Peter Michael DriesSteffen RenischJens Von Berg
    • G09G5/00
    • G06F19/3487G06F19/00G06F19/321G06T7/0012G06T7/12G06T7/149G06T19/20G06T2207/10072G06T2207/10116G06T2207/30012G06T2219/2021G16H15/00
    • The invention relates to a system (100) for producing a representation of an object in image data, based on a template coupled to a model of the object, the system comprising a model unit for adapting the model to the object in the image data, and a template unit for adapting the template to the adapted model on the basis of the coupling between the template and the model. The template defines a representation of the object which is simpler to interpret than the model. The template may be arranged to emphasize useful features of the object. The template comprises substantially fewer degrees of freedom and thus can be efficiently adapted to the model. Because the template of the invention is coupled to the model, the position, orientation and/or shape of the template is determined by the model adapted to the object in the image data. Hence, the template is adapted to the image data. The adapted template is capable of representing the object and its individual characteristics, e.g., the shape of the object as well as the position and/or orientation of the object with respect to an external reference system defined, e.g., based on the image data.
    • 本发明涉及一种用于基于耦合到对象的模型的模板来产生图像数据中的对象的表示的系统(100),该系统包括用于将模型适配到图像数据中的对象的模型单元, 以及模板单元,用于基于模板和模型之间的耦合来将模板适配到适配模型。 模板定义了比模型更简单的对象的表示。 模板可以被布置为强调对象的有用特征。 该模板包括基本上更少的自由度,因此可以有效地适应于该模型。 因为本发明的模板耦合到模型,所以模板的位置,取向和/或形状由适于图像数据中的对象的模型确定。 因此,该模板适合图像数据。 适应的模板能够表示对象及其各自的特征,例如对象的形状以及对象相对于例如基于图像数据定义的外部参考系统的位置和/或取向。
    • 5. 发明授权
    • Method, a system and a computer program for integration of medical diagnostic information and a geometric model of a movable body
    • 方法,系统和计算机程序,用于整合医疗诊断信息和可移动体的几何模型
    • US07822246B2
    • 2010-10-26
    • US11721171
    • 2005-12-16
    • Julien SenegasCristian LorenzThomas NetschHeiner Gunnar Konrad LundAlexander Stork
    • Julien SenegasCristian LorenzThomas NetschHeiner Gunnar Konrad LundAlexander Stork
    • G06K9/00A61B5/05
    • G06T7/0012G06F19/00G06T15/04G06T2207/10076G06T2207/30048G06T2210/41
    • The system 10 comprises an input 2 for accessing the suitable input data. The core of the system 10 is formed by a processor 4 which is arranged to operate the components of the system 10, it being the input 2, a computing unit 5, a working memory 6. The computing unit 5 preferably comprises a suitable number of executable subroutines 5a, 5b, 5c, 5d, 5e, and 5f to enable a constructing of a geometric model of the movable body based on the results of the segmentation step, finding a spatial correspondence between the first and second image dataset, mapping the texture image dataset on geometric model, fusing the geometric model and the mapped texture image dataset. The apparatus 10 according to the invention further comprises a coder 7 arranged to code the determined region of interest in accordance to a pre-selected criterion. The criterion may be selectable from a list of valid criteria, stored in a file 7a. Preferably, the coder 7, the computing unit 5 and the processor 4 are operable by a computer program 3, preferably stored in memory 8. An output 9 is used for outputting the results of the processing, like fused image data representing the textured, preferably animated geometric model of the movable body. The invention further relates to a method for integration of medical diagnostic information and a geometric model of a movable body and to a computer program.
    • 系统10包括用于访问合适的输入数据的输入2。 系统10的核心由处理器4形成,处理器4被设置为操作系统10的组件,它是输入2,计算单元5,工作存储器6.计算单元5优选地包括适当数量的 可执行子程序5a,5b,5c,5d,5e和5f,以便能够基于分割步骤的结果构建可移动体的几何模型,找到第一和第二图像数据集之间的空间对应关系, 几何模型的图像数据集,融合几何模型和映射纹理图像数据集。 根据本发明的装置10还包括编码器7,编码器7被布置成根据预先选择的标准对所确定的感兴趣区域进行编码。 标准可以从存储在文件7a中的有效标准的列表中选择。 优选地,编码器7,计算单元5和处理器4可由计算机程序3操作,优选地存储在存储器8中。输出9用于输出处理结果,如表示纹理的融合图像数据,优选地 动画的动画几何模型。 本发明还涉及用于将医疗诊断信息和可移动体的几何模型和计算机程序集成的方法。
    • 6. 发明申请
    • MODEL-BASED CORONARY CENTERLINE LOCALIZATION
    • 基于模型的冠状动脉中心定位
    • US20100046815A1
    • 2010-02-25
    • US12443490
    • 2007-09-28
    • Jens Von BergBernd HofmannCristian LorenzOlivier EcabertJochen PetersJuergen Weese
    • Jens Von BergBernd HofmannCristian LorenzOlivier EcabertJochen PetersJuergen Weese
    • G06K9/00
    • G06T7/30A61B5/055A61B6/504A61B6/5229A61B8/0891A61B8/5238G06F19/00G06T2207/20044G06T2207/30101Y10S128/922
    • The invention relates to a system (100) for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit (110) for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit (120) for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit (130) for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit (140) for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.
    • 本发明涉及一种用于根据包括参考对象模型和血管模型的联合模型将具有图像数据集的血管模型登记的系统(100),该系统包括:一个放置单元(110),用于将连接的模型放置在 图像数据集合的空间,从而创建包括放置的参考对象模型和放置的容器模型的放置的连接模型; 计算单元(120),用于基于地标位移场计算变形场,所述地标位移场包括相对于所述图像数据组中的对应地标放置的所述参考对象模型的界标的位移; 变换单元(130),用于使用变形场来变换放置的接合模型,从而创建包括变换的参考对象模型和变换的容器模型的变换的连接模型; 以及注册单元(140),用于基于修改所述经变换的血管模型并优化所述经修改的转化的血管模型的目标函数,将经变换的血管模型与所述图像数据集进行登记,其中所述目标函数包括基于 修改的转化血管模型相对于转化的连接模型的定位。 因此,该系统被设置成考虑到血管模型相对于由参考模型描述的参考解剖结构的定位来建模血管。
    • 7. 发明申请
    • PREDICTION OF CARDIAC SHAPE BY A MOTION MODEL
    • 通过运动模型预测心脏形状
    • US20090231335A1
    • 2009-09-17
    • US12306564
    • 2007-07-02
    • Jens Von BergCristian Lorenz
    • Jens Von BergCristian Lorenz
    • G06T17/00
    • G06T7/33G06T7/20G06T2207/10072G06T2207/30048
    • The invention relates to a system (100) for propagating a model mesh based on a first mean model mesh and on a second mean model mesh, the system comprising: a registration unit (110) for computing a registration transformation for registering the first model mesh with the first mean model mesh; a forward transformation unit (120) for transforming the model mesh into a registered model mesh using the registration transformation; a computation unit (130) for computing a propagation field for propagating the registered model mesh, the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh; a propagation unit (140) for transforming the registered model mesh into the propagated registered model mesh based on applying the vertex displacement vectors comprised in the propagation field to respective vertices of the registered model mesh; and an inverse transformation unit (150) for transforming the propagated registered model mesh into the propagated model mesh using the inverse of the registration transformation, thereby propagating the model mesh. Using the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh improves modeling motion of anatomical shapes. Advantageously, the propagation field of vertex displacement vectors is straightforward to compute and to apply.
    • 本发明涉及一种用于基于第一平均模型网格和第二平均模型网格传播模型网格的系统(100),该系统包括:注册单元(110),用于计算用于注册第一模型网格的注册变换 用第一个平均模型网格; 用于使用所述注册变换将所述模型网格变换为注册模型网格的正向变换单元(120) 计算单元(130),用于计算用于传播所述注册的模型网格的传播场,所述传播场包括相对于所述第一平均模型网格的相应顶点的所述第二平均模型网格的顶点的位移的向量; 传播单元,用于通过将包含在传播场中的顶点位移矢量应用于注册的模型网格的各顶点,将登记的模型网格变换为传播的注册模型网格; 以及逆变换单元(150),用于使用所述配准变换的逆来将所述传播的注册模型网格变换为所述传播的模型网格,从而传播所述模型网格。 使用包括相对于第一平均模型网格的各个顶点的第二平均模型网格的顶点的位移的向量的传播场改进了解剖形状的建模运动。 有利地,顶点位移矢量的传播场是直接计算和应用的。
    • 8. 发明申请
    • Method, A System And A Computer Program For Segmenting A Surface In A Multidimensional Dataset
    • 方法,系统和用于在多维数据集中分割表面的计算机程序
    • US20080205757A1
    • 2008-08-28
    • US11815453
    • 2006-02-06
    • Jens Von BergCristian Lorenz
    • Jens Von BergCristian Lorenz
    • G06K9/34
    • 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括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,并且随后存储在计算机可读文件2中。 在步骤5,基于可变形模型的合适分割算法3的默认形状参数和拓扑参数与给定对象的实际形状参数和拓扑参数4的值相匹配。 随后,在步骤6,使用具有适配的形状参数的可变形模型算法6a和适合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。 在获得所有图像的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,表面在虚拟空间中被重建。 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。
    • 9. 发明申请
    • Method of defining a surface or a volume
    • 定义表面或体积的方法
    • US20060092157A1
    • 2006-05-04
    • US10536917
    • 2003-11-25
    • Cristian Lorenz
    • Cristian Lorenz
    • G06T17/00
    • G06T17/20
    • The invention relates to a method of defining a surface or a volume in a three-dimensional, and in particular medical, data set. At least two starting lines (11, 13), which preferably lie in mutually perpendicular planes and intersect one another, having been preset, contour lines (31) that lie between the starting lines (11, 13) are determined by Fourier transformation. These contour lines (31) form a surface structure (63) from which a surface can be determined by polygonization, e.g. by triangulation. If the starting lines are closed, the surface too is closed and defines a volume.
    • 本发明涉及一种在三维特别是医学数据集中定义表面或体积的方法。 通过傅里叶变换来确定至少两个起始线(11,13),其优选位于相互垂直的平面中并相互相交,已被预先设置,位于起始线(11,13)之间的轮廓线(31)被确定。 这些轮廓线(31)形成表面结构(63),可以通过多边形来确定表面。 通过三角测量。 如果起始线关闭,表面也是关闭的并且定义了一个体积。
    • 10. 发明授权
    • Choosing anatomical variant model for image segmentation
    • 选择图像分割的解剖变异模型
    • US09367913B2
    • 2016-06-14
    • US13823472
    • 2011-09-13
    • Cristian LorenzHans BarschdorfTobias KlinderRaghed Hanna
    • Cristian LorenzHans BarschdorfTobias KlinderRaghed Hanna
    • G06T7/00G06T17/00G06T15/08
    • G06T7/0012G06T7/12G06T7/149G06T15/08G06T17/00G06T2207/30004
    • A system (100) for segmenting an object in an image adapts a first model for segmenting the object to the image. A feature is extracted from the image based on the adapted first model. A second model is selected for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image. The second model includes additional detail of the object. The second model is utilized based on the adapted first model and/or the feature extracted from the image; the initialized second model is adapted 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 includes 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.
    • 用于在图像中分割对象的系统(100)适应用于将对象分割成图像的第一模型。 基于适配的第一模型从图像中提取特征。 基于从图像提取的特征,选择第二模型用于从多个模型分割对象以分割对象。 第二个模型包括对象的附加细节。 基于适应的第一模型和/或从图像提取的特征来利用第二模型; 初始化的第二模型适用于图像。 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。 因为第二个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,基于适配的第一模型和/或检测到的特征对第二模型的初始化提高了第二模型适应的准确性。