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21. 发明申请

US20090231335A1 PREDICTION OF CARDIAC SHAPE BY A MOTION MODEL 有权
标题翻译：通过运动模型预测心脏形状
公开(公告)号：US20090231335A1
公开(公告)日：2009-09-17
申请号：US12306564
申请日：2007-07-02
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06T17/00
CPC分类号： G06T7/33 , G06T7/20 , G06T2207/10072 , G06T2207/30048
摘要： 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.
摘要翻译：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。

22. 发明申请

US20080205757A1 Method, A System And A Computer Program For Segmenting A Surface In A Multidimensional Dataset 有权
标题翻译：方法，系统和用于在多维数据集中分割表面的计算机程序
公开(公告)号：US20080205757A1
公开(公告)日：2008-08-28
申请号：US11815453
申请日：2006-02-06
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06K9/34
CPC分类号： G06T7/149 , G06T7/11 , G06T2207/10088 , G06T2207/30048
摘要： 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.
摘要翻译：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。

23. 发明申请

US20100266173A1 COMPUTER-AIDED DETECTION (CAD) OF A DISEASE 审中-公开
标题翻译：疾病的计算机辅助检测（CAD）
公开(公告)号：US20100266173A1
公开(公告)日：2010-10-21
申请号：US12741837
申请日：2008-11-06
申请人： Cristian Lorenz , Jens Von Berg , Thomas Buelow , Rafael Wiemker
发明人： Cristian Lorenz , Jens Von Berg , Thomas Buelow , Rafael Wiemker
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T2200/24 , G06T2207/10072 , G06T2207/30061
摘要： The present invention relates to a method for performing computer-aided detection (CAD) of a disease, e.g. lung tumours, on a medical image data set (20) from a imaging modality, such as MRI or CT. Initially, there is perform a segmentation of the medical image data set (20) using an anatomical model. Secondly, the segmented data is analyzed for characteristics of the disease resulting in a set of analysis data (25), and finally the set of analysis data (25) is evaluating with respect to the disease. At least one of these steps comprises as an input a position dependent probability (P_r) for the disease. The invention is advantageous in that more efficient computations can be performed because the degree of analysis in a certain region of the part of the patient, e.g. the lung, can be adjusted or tailored to the level of probability of the disease in the that region. It is thereby possible to increase computational speed and thereby diseases like cancer, in particular cancer nodules in the lungs, can be more effectively found from medical image analysis.
摘要翻译：本发明涉及用于执行疾病的计算机辅助检测（CAD）的方法，例如，肺肿瘤，来自成像模态（例如MRI或CT）的医学图像数据集（20）。最初，使用解剖模型执行医学图像数据集（20）的分割。其次，对分割的数据进行分析，得到一组分析数据（25），最后分析数据集（25）正在评估疾病。这些步骤中的至少一个包括用于疾病的位置依赖概率（P_r）作为输入。本发明的优点在于，可以执行更有效的计算，因为患者部分的某个区域中的分析程度，例如，肺，可以根据该区域的疾病概率进行调整或调整。从而可以增加计算速度，从而可以从医学图像分析中更有效地发现像癌症，特别是肺中的癌症结节之类的疾病。

24. 发明授权

US07986836B2 Method, a system and a computer program for segmenting a surface in a multidimensional dataset 有权
标题翻译：用于在多维数据集中分割曲面的方法，系统和计算机程序
公开(公告)号：US07986836B2
公开(公告)日：2011-07-26
申请号：US11815453
申请日：2006-02-06
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06K9/34
CPC分类号： G06T7/149 , G06T7/11 , G06T2207/10088 , G06T2207/30048
摘要： 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.
摘要翻译：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。

25. 发明授权

US08111885B2 Image processing device and method 有权
标题翻译：图像处理装置及方法
公开(公告)号：US08111885B2
公开(公告)日：2012-02-07
申请号：US11815456
申请日：2006-02-03
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10072 , G06T2207/30048
摘要： The present invention relates to an image processing device and a corresponding image processing method for processing medical image data showing at least two image objects, including a segmentation unit for detection and/or segmentation of image objects in said image data. To allow a more accurate and better segmentation of target objects which are hard to localize and detect, it is proposed that the segmentation unit comprises: a selection unit (61) for selecting a target object for detection and/or segmentation and an intermediary object in said image data, which is easier detectable than said target object and for which position information about the spatial relationship to said target object are known, an intermediary object segmentation unit (62) for segmentation of said intermediary object in said image data, a target object detection unit (63) for detection and/or segmentation of said target object in said image data using said segmented intermediary object and said position information about the spatial relationship of said intermediary object to said target object.
摘要翻译：图像处理装置及图像处理方法技术领域本发明涉及图像处理装置和图像处理方法，该图像处理方法用于处理表示至少两个图像对象的医学图像数据，所述图像对象包括用于所述图像数据中的图像对象的检测和/或分割的分割单元。为了允许对难以定位和检测的目标对象进行更准确和更好的分割，提出了分割单元包括：选择单元（61），用于选择用于检测和/或分割的目标对象和中间对象所述图像数据比所述目标对象更容易检测，并且关于与所述目标对象的空间关系的位置信息是已知的），用于在所述图像数据中分割所述中间对象的中间对象分割单元（62），目标对象检测单元（63），用于使用所述分割的中间对象在所述图像数据中检测和/或分割所述目标对象，以及关于所述中间对象与所述目标对象的空间关系的位置信息。

26. 发明申请

US20090030657A1 SURFACE TESSELATION OF SHAPE MODELS 审中-公开
标题翻译：形状模型的表面压力
公开(公告)号：US20090030657A1
公开(公告)日：2009-01-29
申请号：US12097141
申请日：2006-12-15
申请人： Jens Von Berg , Frans Andreas Gerritsen , Juergen Weese , Cristian Lorenz , Jochen Peters , Olivier Ecabert
发明人： Jens Von Berg , Frans Andreas Gerritsen , Juergen Weese , Cristian Lorenz , Jochen Peters , Olivier Ecabert
IPC分类号： G06F17/50
CPC分类号： G06T17/20 , G06T17/10 , G06T17/205
摘要： The invention relates to a method (100) of and to a system (200) for determining a template mesh of a shape model on the basis of a plurality of instances of the shape model. The method of determining the template mesh of the shape model comprises an obtaining step (110) for obtaining the plurality of instances of the template mesh, a computing step (120) for computing a plurality of results on the basis of the plurality of instances of the shape model, a deciding step (130) for deriving a decision on the basis of the plurality of results, and a decimating step (140) for decimating the template mesh of the shape model on the basis of the decision, thereby determining the template mesh of the shape model. Thus, the template mesh of the shape model determined by the method of the invention better describes objects of interest at all locations.
摘要翻译：本发明涉及一种用于基于形状模型的多个实例来确定形状模型的模板网格的系统（200）的方法（100）。确定形状模型的模板网格的方法包括获取步骤（110），用于获得模板网格的多个实例;计算步骤（120），用于基于多个实例的多个实例来计算多个结果形状模型，用于基于多个结果导出判定的判定步骤（130），以及基于判定来抽取形状模型的模板网格的抽取步骤（140），从而确定模板形状模型的网格。因此，通过本发明的方法确定的形状模型的模板网格更好地描述了所有位置处的感兴趣对象。

27. 发明申请

US20080205716A1 Image Processing Device and Method 有权
标题翻译：图像处理装置及方法
公开(公告)号：US20080205716A1
公开(公告)日：2008-08-28
申请号：US11815597
申请日：2006-02-08
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10072 , G06T2207/30048
摘要： The present invention relates to an image processing device and a corresponding image processing method for processing a multi-dimensional data set of image data, in particular of three-dimensional medical volume image data, including a segmentation unit (6, 16, 26) for a segmentation of an image object in said data set. Further, the present invention relates to a computer program for implementing said image processing method on a computer. In order to allow for a segmentation which is robust in terms of vulnerability to image artifacts and accurate in terms of reflecting anatomical details, wherein the results of the segmentation are achieved within reasonable short processing time an image processing device is proposed which comprises—model-based segmentation means (61, 161, 261) for performing a model-based segmentation (32) of said data set for obtaining a multi-dimensional model representing a first approximation of said image object; data-driven segmentation means (62, 162, 262) for performing a data-driven segmentation (33) of said multi-dimensional data set for obtaining a multi-dimensional subset of said multi-dimensional data set representing a second approximation of said image object; optimizing means (63, 163, 263) for adapting said model and/or said subset for optimizing a similarity value between said first and said second approximation; and —selecting means (64, 164, 264) for selecting said adapted model or said adapted subset as a segmentation of said image object.
摘要翻译：本发明涉及一种用于处理图像数据的多维数据集，特别是三维医疗卷图像数据的图像处理装置和相应的图像处理方法，所述三维医疗卷图像数据包括分割单元（6,16,26），用于所述数据集中的图像对象的分割。此外，本发明涉及一种用于在计算机上实现所述图像处理方法的计算机程序。为了允许在对图像伪影的脆弱性和反映解剖细节的准确性方面是鲁棒的分割，其中在合理的短处理时间内实现分割的结果，提出了一种图像处理装置，其包括模型 - （61,161,261），用于执行所述数据集的基于模型的分割（32）以获得表示所述图像对象的第一近似的多维模型; 数据驱动分段装置（62,162,262），用于执行所述多维数据集的数据驱动分段（33），以获得表示所述图像的第二近似的所述多维数据集的多维子集目的; 用于调整所述模型和/或所述子集以优化所述第一和所述第二近似之间的相似度值的优化装置（63,163,263）以及用于选择所述适配模型或所述适配子集作为所述图像对象的分割的选择装置（64,164,264）。

28. 发明授权

US08314792B2 Prediction of cardiac shape by a motion model 有权
标题翻译：通过运动模型预测心脏形状
公开(公告)号：US08314792B2
公开(公告)日：2012-11-20
申请号：US12306564
申请日：2007-07-02
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06T17/00 , G06T17/20 , G06T17/30
CPC分类号： G06T7/33 , G06T7/20 , G06T2207/10072 , G06T2207/30048
摘要： 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.
摘要翻译：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。

29. 发明授权

US07957572B2 Image processing device and method 有权
标题翻译：图像处理装置及方法
公开(公告)号：US07957572B2
公开(公告)日：2011-06-07
申请号：US11815597
申请日：2006-02-08
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06K9/00 , G06T15/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10072 , G06T2207/30048
摘要： The present invention relates to an image processing device and a corresponding image processing method for processing a multi-dimensional data set of image data, in particular of three-dimensional medical volume image data, including a segmentation unit (6, 16, 26) for a segmentation of an image object in said data set. Further, the present invention relates to a computer program for implementing said image processing method on a computer. In order to allow for a segmentation which is robust in terms of vulnerability to image artifacts and accurate in terms of reflecting anatomical details, wherein the results of the segmentation are achieved within reasonable short processing time an image processing device is proposed which comprises—model-based segmentation means (61, 161, 261) for performing a model-based segmentation (32) of said data set for obtaining a multi-dimensional model representing a first approximation of said image object; data-driven segmentation means (62, 162, 262) for performing a data-driven segmentation (33) of said multi-dimensional data set for obtaining a multi-dimensional subset of said multi-dimensional data set representing a second approximation of said image object; optimizing means (63, 163, 263) for adapting said model and/or said subset for optimizing a similarity value between said first and said second approximation; and —selecting means (64, 164, 264) for selecting said adapted model or said adapted subset as a segmentation of said image object.
摘要翻译：本发明涉及一种用于处理图像数据的多维数据集，特别是三维医疗卷图像数据的图像处理装置和相应的图像处理方法，所述三维医疗卷图像数据包括分割单元（6,16,26），用于所述数据集中的图像对象的分割。此外，本发明涉及一种用于在计算机上实现所述图像处理方法的计算机程序。为了允许在对图像伪影的脆弱性和反映解剖细节的准确性方面是鲁棒的分割，其中在合理的短处理时间内实现分割的结果，提出了一种图像处理装置，其包括模型 - （61,161,261），用于执行所述数据集的基于模型的分割（32）以获得表示所述图像对象的第一近似的多维模型; 数据驱动分段装置（62,162,262），用于执行所述多维数据集的数据驱动分段（33），以获得表示所述图像的第二近似的所述多维数据集的多维子集目的; 用于调整所述模型和/或所述子集以优化所述第一和所述第二近似之间的相似度值的优化装置（63,163,263）以及用于选择所述适配模型或所述适配子集作为所述图像对象的分割的选择装置（64,164,264）。

30. 发明申请

US20090267941A1 MULTI-SURFACE MODELLING 审中-公开
标题翻译：多表面建模
公开(公告)号：US20090267941A1
公开(公告)日：2009-10-29
申请号：US11912692
申请日：2006-04-25
申请人： Jens Von Berg , Cristian Lorenz
发明人： Jens Von Berg , Cristian Lorenz
IPC分类号： G06T17/20
CPC分类号： G06T17/20
摘要： Modeling of organ surfaces is a well-established method that may serve in computer-supported teaching, but also in image-based medical diagnosis and in clinical interventions. According to an exemplary embodiment of the present invention, a method of constructing a multi-surface model from a multi-dimensional dataset of an object of interest is provided, which combines single basic two-dimensional manifold surface meshes, resulting in a multi-surface model. According to an aspect of the present invention, this resulting model may be a non-two-dimensional manifold mesh.
摘要翻译：器官表面的建模是一种既成熟的方法，可用于计算机支持的教学，也可用于基于图像的医学诊断和临床干预。根据本发明的示例性实施例，提供了一种从感兴趣对象的多维数据集构建多表面模型的方法，其结合单个基本二维歧管表面网格，导致多表面模型。根据本发明的一个方面，所得到的模型可以是非二维歧管网。

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