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1. 发明授权

US08917933B2 Mesh collision avoidance 有权
标题翻译：网格碰撞避免
公开(公告)号：US08917933B2
公开(公告)日：2014-12-23
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： G06K9/34 , G06K9/00 , G06T7/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T2207/10072 , G06T2207/10116 , G06T2207/30012
摘要： The invention relates to a system for segmenting an object in image data using model-based image segmentation. The system comprises a feature unit 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. The feature unit further comprises a candidate feature unit for selecting a plurality of candidate features in the image data. The feature unit further comprises a position unit for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data. The feature unit further comprises a feature function unit for computing a strength of each candidate feature. The feature unit further comprises an evaluation unit 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.
摘要翻译：本发明涉及一种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。该系统包括用于识别图像数据中的特征的特征单元，用于基于网格的当前位置计算网格的外部能量。特征单元还包括用于在图像数据中选择多个候选特征的候选特征单元。特征单元还包括位置单元，用于相对于图像数据的区域确定多个候选特征的每个候选特征的位置。特征单元还包括用于计算每个候选特征的强度的特征函数单元。特征单元还包括评估单元，用于基于该评估来评估多个候选特征中的每个候选特征并且用于识别多个候选特征中的特征。

2. 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。

3. 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。

4. 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。

5. 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。

6. 发明申请

US20130108117A1 AUTOMATIC POINT-WISE VALIDATION OF RESPIRATORY MOTION ESTIMATION 有权
标题翻译：呼吸运动估计的自动点智慧验证
公开(公告)号：US20130108117A1
公开(公告)日：2013-05-02
申请号：US13808607
申请日：2011-07-05
申请人： Sven Kabus , Tobias Klinder , Cristian Lorenz
发明人： Sven Kabus , Tobias Klinder , Cristian Lorenz
IPC分类号： G06T7/20
CPC分类号： G06T7/20 , G06T3/0081 , G06T7/0016 , G06T7/30 , G06T2207/10081 , G06T2207/30061
摘要： 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.
摘要翻译：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。

7. 发明授权

US08798343B2 System for providing lung ventilation information 有权
标题翻译：提供肺通气信息的系统
公开(公告)号：US08798343B2
公开(公告)日：2014-08-05
申请号：US13146885
申请日：2010-01-25
申请人： Sven Kabus , Cristian Lorenz , Nicole Schadewaldt , Roland Opfer , Ingwer Curt Carlsen , Steffen Renisch , Joerg Sabczynski , Hans Barschdorf , Jens Von Berg , Thomas Blaffert , Tobias Klinder
发明人： Sven Kabus , Cristian Lorenz , Nicole Schadewaldt , Roland Opfer , Ingwer Curt Carlsen , Steffen Renisch , Joerg Sabczynski , Hans Barschdorf , Jens Von Berg , Thomas Blaffert , Tobias Klinder
IPC分类号： G06K9/00
CPC分类号： A61B6/5235 , A61B5/08 , A61B6/541 , G06T7/33 , G06T2207/10081 , G06T2207/30061
摘要： A system for displaying lung ventilation information, the system comprising an input (12) and a processing unit (15). The input being provided for receiving multiple CT images (71) of a lung, each CT image (71) corresponding to one phase of at least two different phases in a respiratory cycle. The processing unit (15) being configured to compare CT images (71) corresponding to different phases in the respiratory cycle for determining a deformation vector field for each phase, to generate for each phase a ventilation image (72) based on the corresponding deformation vector field, to spatially align the ventilation images (72), and to generate for at least one common position (62) in each one of the aligned ventilation images (72), a function (81) of a time course of a ventilation value for said common position (62), each ventilation value in the function (81) being based on the deformation vector fields corresponding to the aligned ventilation images (73).
摘要翻译：一种用于显示肺通气信息的系统，所述系统包括输入（12）和处理单元（15）。所述输入被提供用于接收肺的多个CT图像（71），每个CT图像（71）对应于呼吸周期中的至少两个不同相的一个相。所述处理单元（15）被配置为比较对应于呼吸周期中的不同相位的CT图像（71），以确定每个相位的变形矢量场，以根据相应的变形矢量为每个阶段生成通气图像（72）在空间上对准通气图像（72），并且为每个对齐的通气图像（72）中的至少一个公共位置（62）产生功能（81），其中通风值的时间过程为所述公共位置（62）中，所述功能（81）中的每个换气值基于对应于对齐的通气图像（73）的变形矢量场。

8. 发明授权

US08526697B2 Apparatus for segmenting an object comprising sub-objects 有权
标题翻译：用于分割包括子对象的对象的装置
公开(公告)号：US08526697B2
公开(公告)日：2013-09-03
申请号：US12867522
申请日：2009-02-06
申请人： Thomas Blaffert , Hans Barschdorf , Jens Von Berg , Sebastian Peter Michael Dries , Cristian Lorenz , Rafael Wiemker , Tobias Klinder , Astrid Ruth Franz , Steffen Renisch
发明人： Thomas Blaffert , Hans Barschdorf , Jens Von Berg , Sebastian Peter Michael Dries , Cristian Lorenz , Rafael Wiemker , Tobias Klinder , Astrid Ruth Franz , Steffen Renisch
IPC分类号： G06K9/00
CPC分类号： G06T5/003 , G06T7/11 , G06T7/149 , G06T2207/10081 , G06T2207/20041 , G06T2207/20081 , G06T2207/20124 , G06T2207/20192 , G06T2207/30061
摘要： The present invention relates to an apparatus (1) for segmenting an object comprising sub-objects shown in an object image. The apparatus comprises a feature image generation unit (2) for generating a feature image showing features related to intermediate regions between the sub-objects and a segmentation unit (3) for segmenting the sub-objects by using the object image and the feature image. Preferentially, the feature image generation unit (2) is adapted for generating a feature image from the object image. In a further embodiment, the feature image generation unit (2) comprises a feature enhancing unit for enhancing features related to intermediate regions between the sub-objects in the object image.
摘要翻译：本发明涉及一种用于分割包含物体图像中所示的子对象的物体的装置（1）。该装置包括：特征图像生成单元，用于生成显示与子对象之间的中间区域相关的特征的特征图像和用于通过使用对象图像和特征图像来分割子对象的分割单元（3）。优选地，特征图像生成单元（2）适于从对象图像生成特征图像。在另一实施例中，特征图像生成单元（2）包括特征增强单元，用于增强与对象图像中的子对象之间的中间区域相关的特征。

9. 发明授权

US09367913B2 Choosing anatomical variant model for image segmentation 有权
标题翻译：选择图像分割的解剖变异模型
公开(公告)号：US09367913B2
公开(公告)日：2016-06-14
申请号：US13823472
申请日：2011-09-13
申请人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
发明人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
IPC分类号： G06T7/00 , G06T17/00 , G06T15/08
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T15/08 , G06T17/00 , G06T2207/30004
摘要： 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.
摘要翻译：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。

10. 发明授权

US09269166B2 Motion compensated imaging 有权
标题翻译：运动补偿成像
公开(公告)号：US09269166B2
公开(公告)日：2016-02-23
申请号：US14116367
申请日：2012-04-26
申请人： Eberhard Sebastian Hansis , Cristian Lorenz , Tobias Klinder , Sven Kabus , Xiyun Song
发明人： Eberhard Sebastian Hansis , Cristian Lorenz , Tobias Klinder , Sven Kabus , Xiyun Song
IPC分类号： G06K9/00 , G06T11/00 , A61B6/03 , A61B6/00 , G06T7/00
CPC分类号： G06T11/003 , A61B6/032 , A61B6/037 , A61B6/4417 , A61B6/486 , A61B6/5205 , A61B6/5235 , A61B6/5264 , A61B6/5288 , G06T7/0012 , G06T11/005 , G06T2211/412
摘要： A method includes performing a motion compensated reconstruction of functional projection data using a patient-adapted motion model, which is generated based on a generic anatomical motion model and imaging data from a structural scan. A system includes a first adapter (202) configured to adapt a generic anatomical model to structural image data, producing an adapted model, a forward projector (204) configured to forward project the adapted model, producing forward projected data, and a second adapter (206) configured to adapt the forward projected data to individual projections of projected data, which is used to generate the structural image data, producing a patient-adapted motion model.
摘要翻译：一种方法包括使用基于通用解剖运动模型和来自结构扫描的成像数据生成的患者适应运动模型来执行功能投影数据的运动补偿重建。一种系统包括：第一适配器（202），其被配置为使通用解剖模型适应于结构图像数据，产生适应模型;前投影仪（204），被配置为向所述适配模型进行投影，产生向前投影数据;以及第二适配器 206），其被配置为使所述向前投影的数据适应于用于生成所述结构图像数据的投影数据的各个投影，产生患者适应的运动模型。

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