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21. 发明授权

US07822246B2 Method, a system and a computer program for integration of medical diagnostic information and a geometric model of a movable body 有权
标题翻译：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
公开(公告)号：US07822246B2
公开(公告)日：2010-10-26
申请号：US11721171
申请日：2005-12-16
申请人： Julien Senegas , Cristian Lorenz , Thomas Netsch , Heiner Gunnar Konrad Lund , Alexander Stork
发明人： Julien Senegas , Cristian Lorenz , Thomas Netsch , Heiner Gunnar Konrad Lund , Alexander Stork
IPC分类号： G06K9/00 , A61B5/05
CPC分类号： G06T7/0012 , G06F19/00 , G06T15/04 , G06T2207/10076 , G06T2207/30048 , G06T2210/41
摘要： 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.
摘要翻译：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。

22. 发明申请

US20100046815A1 MODEL-BASED CORONARY CENTERLINE LOCALIZATION 有权
标题翻译：基于模型的冠状动脉中心定位
公开(公告)号：US20100046815A1
公开(公告)日：2010-02-25
申请号：US12443490
申请日：2007-09-28
申请人： Jens Von Berg , Bernd Hofmann , Cristian Lorenz , Olivier Ecabert , Jochen Peters , Juergen Weese
发明人： Jens Von Berg , Bernd Hofmann , Cristian Lorenz , Olivier Ecabert , Jochen Peters , Juergen Weese
IPC分类号： G06K9/00
CPC分类号： G06T7/30 , A61B5/055 , A61B6/504 , A61B6/5229 , A61B8/0891 , A61B8/5238 , G06F19/00 , G06T2207/20044 , G06T2207/30101 , Y10S128/922
摘要： 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.
摘要翻译：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。

23. 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。

24. 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。

25. 发明申请

US20060092157A1 Method of defining a surface or a volume 审中-公开
标题翻译：定义表面或体积的方法
公开(公告)号：US20060092157A1
公开(公告)日：2006-05-04
申请号：US10536917
申请日：2003-11-25
申请人： Cristian Lorenz
发明人： Cristian Lorenz
IPC分类号： G06T17/00
CPC分类号： G06T17/20
摘要： 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.
摘要翻译：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。

26. 发明授权

US10102347B2 Patient specific anatiomical sketches for medical reports 有权
公开(公告)号：US10102347B2
公开(公告)日：2018-10-16
申请号：US13120181
申请日：2009-09-17
申请人： Cristian Lorenz , Sebastian Peter Michael Dries , Steffen Renisch , Jens Von Berg
发明人： Cristian Lorenz , Sebastian Peter Michael Dries , Steffen Renisch , Jens Von Berg
IPC分类号： G06F19/00 , G06T7/00 , G06T19/20 , G06T7/12 , G06T7/149 , G16H15/00
摘要： The invention relates to a system 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. 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.

27. 发明授权

US09414773B2 Respiratory motion determination apparatus 有权
标题翻译：呼吸运动确定装置
公开(公告)号：US09414773B2
公开(公告)日：2016-08-16
申请号：US14125182
申请日：2012-06-19
申请人： Sven Kabus , Hans-Aloys Wischmann , Cristian Lorenz
发明人： Sven Kabus , Hans-Aloys Wischmann , Cristian Lorenz
IPC分类号： G06K9/00 , A61B5/11 , A61B6/00 , A61B6/03 , G06T7/00 , G06T7/20 , A61B5/113 , A61B5/00 , A61B5/0456 , A61B5/055
CPC分类号： A61B5/1128 , A61B5/0456 , A61B5/055 , A61B5/113 , A61B5/7207 , A61B6/037 , A61B6/5264 , A61B6/5288 , A61B2576/023 , G06T7/0012 , G06T7/0016 , G06T7/20 , G06T7/246 , G06T2207/10076 , G06T2207/30061
摘要： A respiratory motion determination apparatus determines respiratory motion of a living being (3). A raw data providing unit (2) provides raw data assigned to different times, wherein the raw data are indicative of a structure like the apex of the heart muscle, which is influenced by cardiac motion and by respiratory motion. A reconstruction unit (6) reconstructs intermediate images of the structure from the provided raw data. A structure detection unit (7) detects the structure in the reconstructed intermediate images. A respiratory motion determination unit (10) determines the respiratory motion of the living being based on the structure detected in the reconstructed intermediate images. This allows determining respiratory motion with high accuracy, without relying on, for example, a stable correlation between a tracking signal of an external respiratory gating device and respiratory phases.
摘要翻译：呼吸运动确定装置确定生物的呼吸运动（3）。原始数据提供单元（2）提供分配给不同时间的原始数据，其中原始数据表示由心脏运动和呼吸运动影响的心肌顶点的结构。重建单元（6）从所提供的原始数据重建结构的中间图像。结构检测单元（7）检测重建的中间图像中的结构。呼吸运动确定单元（10）基于在重建的中间图像中检测到的结构来确定生物体的呼吸运动。这允许以高精度确定呼吸运动，而不依赖于例如外部呼吸门控装置的跟踪信号和呼吸相位之间的稳定的相关性。

28. 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。

29. 发明授权

US07764813B2 Region delineation in computer tomographic angiography 失效
标题翻译：计算机断层造影中的区域划分
公开(公告)号：US07764813B2
公开(公告)日：2010-07-27
申请号：US10554355
申请日：2004-04-14
申请人： Cristian Lorenz
发明人： Cristian Lorenz
IPC分类号： G06K9/00 , G06K9/46 , G06K9/66 , G06K9/62
CPC分类号： A61B6/504 , A61B6/481 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20132 , G06T2207/30048
摘要： The semi-automatic extraction and delineation of the cardiac region of interest in computer tomographic angiography images is time consuming and requires an experienced operator. According to the present invention, a completely automatic delineation and extraction of the CROI is provided, wherein the chest wall is detected and the region where the CROI is attached to the chest wall. Then, the descending aorta is detected. After that a circular initialization of a closed contour around a part of the CROI is performed, which is optimized in a subsequent step. Then, a propagation is performed through all slices of the CTA image, where the preceding contour of the preceding slice image is used for an actual contour optimization in the actual slice image. Advantageously, a fully automatic delineation and extraction of the CROI is provided within very short time.
摘要翻译：计算机断层造影图像中心脏区域的半自动提取和描绘是耗时的，需要有经验的操作者。根据本发明，提供了CROI的完全自动描绘和提取，其中检测到胸壁和CROI附接到胸壁的区域。然后，检测降主动脉。之后，执行围绕CROI的一部分的封闭轮廓的循环初始化，其在随后的步骤中被优化。然后，通过CTA图像的所有切片执行传播，其中先前切片图像的先前轮廓用于实际切片图像中的实际轮廓优化。有利地，在非常短的时间内提供CROI的全自动描绘和提取。

30. 发明申请

US20100014736A1 REDUCTION OF HEART MOTION ARTIFACTS IN THORACIC CT IMAGING 有权
标题翻译：减少心脏CT成像中心脏运动的影响
公开(公告)号：US20100014736A1
公开(公告)日：2010-01-21
申请号：US12438952
申请日：2007-08-27
申请人： Hans Barschdorf , Jens Von Berg , Michael Harald Kuhn , Cristian Lorenz , Thomas Blaffert
发明人： Hans Barschdorf , Jens Von Berg , Michael Harald Kuhn , Cristian Lorenz , Thomas Blaffert
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T7/251 , G06T7/149 , G06T7/33 , G06T2200/04 , G06T2207/10081 , G06T2207/30048 , G06T2207/30061 , G06T2211/412
摘要： 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.
摘要翻译：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：注册单元（110），用于基于多个图像数据登记多个模型网格与多个图像数据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。

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