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21. 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。

22. 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。

23. 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。

24. 发明授权

US08957891B2 Anatomy-defined automated image generation 有权
标题翻译：解剖定义的自动图像生成
公开(公告)号：US08957891B2
公开(公告)日：2015-02-17
申请号：US13120188
申请日：2009-09-18
申请人： Cristian Lorenz , Tobias Klinder
发明人： Cristian Lorenz , Tobias Klinder
IPC分类号： G06T15/00 , G06T15/08
CPC分类号： G06T15/08 , G06T2210/41
摘要： A system for visualizing an object in image data using a first cross-section surface coupled to a model of the object, the system comprising a model unit for adapting a model to the object in the image data, a surface unit for adapting the first cross-section surface to the adapted model on the basis of the coupling between the first cross-section surface and the model, and a visualization unit for computing an image from the image data on the basis of the adapted first cross-section surface. The first cross-section surface may be used to define a slice of the image data for visualizing useful features of the object. Advantageously, adapting the model to the object in the image data and the coupling between the first cross-section surface and the model enable the first cross-section surface to be adapted to the image data. Thus, the shape, orientation and/or position of the adapted first cross-section surface is/are based on the shape, orientation and/or position of the adapted model.
摘要翻译：一种用于使用耦合到所述对象的模型的第一截面表面来可视化所述图像数据中的对象的系统，所述系统包括用于使模型适应所述图像数据中的对象的模型单元，用于适配所述第一十字的表面单元基于所述第一横截面和所述模型之间的耦合的所述适配模型的切割表面以及用于基于所述适配的第一横截面从所述图像数据计算图像的可视化单元。第一横截面可以用于定义图像数据的切片以便可视化对象的有用特征。有利的是，使模型适应图像数据中的对象和第一横截面和模型之间的耦合使得第一横截面能适应图像数据。因此，适配的第一横截面的形状，取向和/或位置基于适配模型的形状，取向和/或位置。

25. 发明申请

US20110284751A1 NUCLEAR IMAGE RECONSTRUCTION 有权
标题翻译：核图像重建
公开(公告)号：US20110284751A1
公开(公告)日：2011-11-24
申请号：US13145132
申请日：2010-01-15
申请人： Tobias Klinder , Cristian Lorenz , Michael H. Kuhn
发明人： Tobias Klinder , Cristian Lorenz , Michael H. Kuhn
IPC分类号： G01T1/164 , G06K9/00
CPC分类号： G06T5/50 , G06T7/246 , G06T11/005 , G06T2207/10072 , G06T2207/20201 , G06T2207/30004 , G06T2211/412
摘要： A system is provided for obtaining a nuclear image of a moving object. The system comprises an input (14), a processing unit (15) and an output (17). The input (14) is provided for receiving a nuclear image and morphological images of the object. The processing unit (15) is configured to process the morphological images to obtain sparse motion information of the object, to use the sparse motion information and a motion model for obtaining estimated motion information about the object, and to generate a motion-corrected nuclear image based on the estimated motion information and the acquired nuclear image. The output (17) provides the corrected nuclear image.
摘要翻译：提供一种用于获得运动物体的核图像的系统。系统包括输入（14），处理单元（15）和输出（17）。输入（14）用于接收核图像和对象的形态图像。处理单元（15）被配置为处理形态图像以获得对象的稀疏运动信息，使用稀疏运动信息和运动模型来获得关于对象的估计的运动信息，并且生成运动校正的核图像基于估计的运动信息和所获取的核图像。输出（17）提供校正的核图像。

26. 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。

27. 发明申请

US20110175909A1 ANATOMY-DEFINED AUTOMATED CPR GENERATION 有权
标题翻译：解剖自动CPR发生
公开(公告)号：US20110175909A1
公开(公告)日：2011-07-21
申请号：US13120188
申请日：2009-09-18
申请人： Cristian Lorenz , Tobias Klinder
发明人： Cristian Lorenz , Tobias Klinder
IPC分类号： G06T15/00
CPC分类号： G06T15/08 , G06T2210/41
摘要： The invention relates to a system (100) for visualizing an object in image data using a first cross-section surface coupled to a model of the object, the system comprising a model unit for adapting a model to the object in the image data, a surface unit for adapting the first cross-section surface to the adapted model on the basis of the coupling between the first cross-section surface and the model, and a visualization unit for computing an image from the image data on the basis of the adapted first cross-section surface. The first cross-section surface may be used to define a slice of the image data for visualizing useful features of the object. Any suitable rendering technique, e.g. maximum intensity projection, can be used by the visualization unit to compute the image based on the slice of the image data defined by the first cross-section surface. Because the first cross-section surface of the invention is coupled to the model, the position, orientation and/or shape of the surface is determined by the model adapted to the object in the image data. Advantageously, adapting the model to the object in the image data and the coupling between the first cross-section surface and the model enable the first cross-section surface to be adapted to the image data. Thus, the shape, orientation and/or position of the adapted first cross-section surface is/are based on the shape, orientation and/or position of the adapted model. Adapting the first cross-section surface directly to the object based on features in the image data would be less reliable and less accurate because the surface comprises fewer features of the object than the model.
摘要翻译：本发明涉及一种用于使用耦合到对象的模型的第一横截面来使图像数据中的对象可视化的系统（100），该系统包括用于使模型适应图像数据中的对象的模型单元，表面单元，用于根据第一横截面和模型之间的耦合使第一横截面适应于适应模型;以及可视化单元，用于基于所适配的第一横截面和模型从图像数据计算图像横截面。第一横截面可以用于定义图像数据的切片以便可视化对象的有用特征。任何合适的渲染技术，例如最大强度投影可以被可视化单元用于基于由第一横截面表面限定的图像数据的切片来计算图像。因为本发明的第一横截面与模型相连，表面的位置，取向和/或形状由适合图像数据中对象的模型确定。有利的是，使模型适应图像数据中的对象和第一横截面和模型之间的耦合使得第一横截面能适应图像数据。因此，适配的第一横截面的形状，取向和/或位置基于适配模型的形状，取向和/或位置。基于图像数据中的特征将第一横截面直接适应对象将不那么可靠，并且不太准确，因为该表面包含比模型更少的对象特征。

28. 发明授权

US07970189B2 Method of automatic extraction of the pulmonary artery tree from 3D medical images 有权
标题翻译：从3D医学图像自动提取肺动脉树的方法
公开(公告)号：US07970189B2
公开(公告)日：2011-06-28
申请号：US11815662
申请日：2006-02-06
申请人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
发明人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10081 , G06T2207/20044 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： An automated method (1) for the automatic extraction of a pulmonary vessel tree from a 3D medical image, such as multi-slice CT data, is disclosed. A segmented pulmonary vessel is identified as either an artery or a vein by determining a measure for arterialness for the vessel. The measure is based on a relation of the orientation of a local bronchus to the orientation of the segmented pulmonary vessel of the local bronchus. When a vessel is identified as a pulmonary artery, it is added to the pulmonary artery tree. Radii of the pulmonary artery and bronchus are measured automatically and positions where a ratio of these radii exhibits unusual values are presented in a display, preferably for suggesting further assessment by a radiologist, which for instance is useful for pulmonary embolism detection.
摘要翻译：公开了一种用于从诸如多层CT数据的3D医学图像自动提取肺血管树的自动化方法（1）。通过确定血管动脉的测量，将分段的肺血管识别为动脉或静脉。该措施基于局部支气管的取向与局部支气管的分段肺血管的取向的关系。当血管被识别为肺动脉时，将其加入肺动脉树。自动测量肺动脉和支气管的半径，并且在显示中呈现这些半径的比率显示出异常值的位置，优选用于暗示例如用于肺栓塞检测的放射科医师的进一步评估。

29. 发明申请

US20110033104A1 MESH COLLISION AVOIDANCE 有权
标题翻译： MESH碰撞避免
公开(公告)号：US20110033104A1
公开(公告)日：2011-02-10
申请号：US12936425
申请日：2009-04-02
申请人： Tobias Klinder , Robin M.B. Wolz , Astrid R. Franz , Cristian Lorenz
发明人： Tobias Klinder , Robin M.B. Wolz , Astrid R. Franz , Cristian Lorenz
IPC分类号： G06K9/46
CPC分类号： G06T7/0081 , G06T7/11 , G06T2207/10072 , G06T2207/10116 , G06T2207/30012
摘要： The invention relates to a system (100) for segmenting an object in image data using model-based image segmentation, the system comprising a feature unit (120) for identifying features in the image data for computing an external energy of a mesh on the basis of a current position of the mesh, wherein the feature unit (120) further comprises a candidate feature unit (122) for selecting a plurality of candidate features in the image data, for identifying a feature to be included in the features identified in the image data, a position unit (124) for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data, a feature function unit (126) for computing a strength of each candidate feature, wherein the strength of each candidate feature depends on the position of each candidate feature relative to the region, and an evaluation unit (128) for evaluating each candidate feature of the plurality of candidate features and for identifying the feature among the plurality of candidate features based on this evaluation. Determining whether a selected candidate feature is located inside the region which should be avoided, e.g., inside another mesh adapted to another object in the image data, allows penalizing this candidate feature during the computation of the strength of each feature and thus during the evaluation of the plurality of candidate features.
摘要翻译：本发明涉及一种用于使用基于模型的图像分割来分割图像数据中的对象的系统（100），该系统包括用于识别图像数据中用于计算网格的外部能量的特征的特征单元（120）所述特征单元还包括用于选择所述图像数据中的多个候选特征的候选特征单元（122），用于识别要包括在所述图像中标识的特征中的特征数据，用于确定多个候选特征相对于图像数据的区域的每个候选特征的位置的位置单元（124），用于计算每个候选特征的强度的特征函数单元（126），其中，每个候选特征的强度取决于每个候选特征相对于该区域的位置，以及评估单元（128），用于评估多个候选特征中的每个候选特征，并且f 或基于该评估来识别多个候选特征中的特征。确定所选择的候选特征是否位于应该避免的区域内，例如在图像数据中适应于另一物体的另一个网格内，允许在计算每个特征的强度期间惩罚该候选特征，并且因此在评估期间多个候选特征。

30. 发明申请

US20090232369A1 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，用于整合医学诊断信息的系统和计算机程序和可移动体的几何模型
公开(公告)号：US20090232369A1
公开(公告)日：2009-09-17
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 , G06T15/00
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，以使得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。

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