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1. 发明申请

US20050094898A1 Method and system for hybrid rigid registration of 2D/3D medical images 有权
标题翻译： 2D / 3D医学图像混合刚性配准的方法和系统
公开(公告)号：US20050094898A1
公开(公告)日：2005-05-05
申请号：US10946204
申请日：2004-09-21
申请人： Chenyang Xu , Xiaolei Huang , Frank Sauer , Christophe Chefd'hotel , Jens Guhring , Sebastian Vogt , Yiyong Sun
发明人： Chenyang Xu , Xiaolei Huang , Frank Sauer , Christophe Chefd'hotel , Jens Guhring , Sebastian Vogt , Yiyong Sun
IPC分类号： G06K9/00 , G06K9/64 , G06T7/40
CPC分类号： G06K9/00208 , G06T7/33 , G06T7/35
摘要： A method of aligning a pair of images with (101) a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying (102) feature points on both images using the same criteria, computing (103) a feature vector for each feature point, measuring a feature dissimilarity (104) for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping (105) for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation (106) is defined to align (108) the second image with the first image using one or more pairs of feature points that are least dissimilar.
摘要翻译：一种将一对图像与（101）第一图像和第二图像对准的方法，其中所述图像包括对应于D维空间中的点的区域的多个强度，包括在两个图像上识别（102）特征点使用相同的标准，计算（103）每个特征点的特征向量，测量每对特征向量的特征不相似性（104），其中每对特征向量的第一特征向量与第一图像上的第一特征点相关联并且每对的第二特征向量与第二图像上的第二特征点相关联。使用与每个特征点对相关联的特征不相似度来确定每对特征点的对应映射（105），并且定义图像变换（106）以使用一个或多个对象（108）将第二图像与第一图像对准成对的特征点是最不相似的。

2. 发明授权

US07409108B2 Method and system for hybrid rigid registration of 2D/3D medical images 有权
标题翻译： 2D / 3D医学图像混合刚性配准的方法和系统
公开(公告)号：US07409108B2
公开(公告)日：2008-08-05
申请号：US10946204
申请日：2004-09-21
申请人： Chenyang Xu , Xiaolei Huang , Frank Sauer , Christophe Chefd'hotel , Jens Gühring , Sebastian Vogt , Yiyong Sun
发明人： Chenyang Xu , Xiaolei Huang , Frank Sauer , Christophe Chefd'hotel , Jens Gühring , Sebastian Vogt , Yiyong Sun
IPC分类号： G06K9/32 , G06K9/68
CPC分类号： G06K9/00208 , G06T7/33 , G06T7/35
摘要： A method of aligning a pair of images with a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying feature points on both images using the same criteria, computing a feature vector for each feature point, measuring a feature dissimilarity for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation is defined to align the second image with the first image using one or more pairs of feature points that are least dissimilar.
摘要翻译：一种将一对图像与第一图像和第二图像对准的方法，其中所述图像包括对应于D维空间中的点的区域的多个强度，包括使用相同标准在两个图像上识别特征点，计算每个特征点的特征向量，测量每对特征向量的特征不相似性，其中每对的第一特征向量与第一图像上的第一特征点相关联，并且每对的第二特征向量与第二个图像上的第二个特征点。使用与每个特征点对相关联的特征不相似度来确定每对特征点的对应关系，并且定义图像变换以使用至少不相似的一对或多对特征点将第二图像与第一图像对准。

3. 发明申请

US20050271302A1 GPU-based image manipulation method for registration applications 有权
标题翻译：基于GPU的图像处理方法用于注册应用
公开(公告)号：US20050271302A1
公开(公告)日：2005-12-08
申请号：US11109126
申请日：2005-04-19
申请人： Ali Khamene , Christophe Chefd'hotel , Jens Guhring , Bernhard Geiger , Sebastian Vogt
发明人： Ali Khamene , Christophe Chefd'hotel , Jens Guhring , Bernhard Geiger , Sebastian Vogt
IPC分类号： G06K9/00 , G06K9/64 , G06T7/00
CPC分类号： G06T15/005 , G06K9/00986 , G06K9/64 , G06T1/20 , G06T7/35 , G06T2200/28 , G06T2207/10072 , G06T2207/10116 , G06T2207/10132 , G06T2207/30004
摘要： Exemplary systems and methods for performing registration applications are provided. An exemplary system includes a central processing unit (CPU) for transferring a plurality of images to a graphics processing unit (GPU); wherein the GPU performs a registration application on the plurality of images to produce a registration result, and wherein the GPU returns the registration result to the CPU. An exemplary method includes the steps of transferring a plurality of images from a central processing unit (CPU) to a graphics processing unit (GPU); performing a registration application on the plurality of images using the GPU; transferring the result of the step of performing from the GPU to CPU.
摘要翻译：提供了用于执行注册申请的示例性系统和方法。示例性系统包括用于将多个图像传送到图形处理单元（GPU）的中央处理单元（CPU）; 其中所述GPU对所述多个图像执行注册应用以产生注册结果，并且其中所述GPU将所述注册结果返回给所述CPU。一种示例性方法包括将多个图像从中央处理单元（CPU）传送到图形处理单元（GPU）的步骤; 使用所述GPU对所述多个图像执行注册应用; 将执行步骤的结果从GPU传送到CPU。

4. 发明授权

US07706633B2 GPU-based image manipulation method for registration applications 有权
标题翻译：基于GPU的图像处理方法用于注册应用
公开(公告)号：US07706633B2
公开(公告)日：2010-04-27
申请号：US11109126
申请日：2005-04-19
申请人： Christophe Chefd'hotel , Razvan Chisu , Bernhard Geiger , Jens Guehring , Ali Kamen , Sebastian Vogt , Wolfgang Wein
发明人： Christophe Chefd'hotel , Razvan Chisu , Bernhard Geiger , Jens Guehring , Ali Kamen , Sebastian Vogt , Wolfgang Wein
IPC分类号： G06K9/32 , G06K9/00 , G09G5/00
CPC分类号： G06T15/005 , G06K9/00986 , G06K9/64 , G06T1/20 , G06T7/35 , G06T2200/28 , G06T2207/10072 , G06T2207/10116 , G06T2207/10132 , G06T2207/30004
摘要： Exemplary systems and methods for performing registration applications are provided. An exemplary system includes a central processing unit (CPU) for transferring a plurality of images to a graphics processing unit (GPU); wherein the GPU performs a registration application on the plurality of images to produce a registration result, and wherein the GPU returns the registration result to the CPU. An exemplary method includes the steps of transferring a plurality of images from a central processing unit (CPU) to a graphics processing unit (GPU); performing a registration application on the plurality of images using the GPU; transferring the result of the step of performing from the GPU to CPU.
摘要翻译：提供了用于执行注册申请的示例性系统和方法。示例性系统包括用于将多个图像传送到图形处理单元（GPU）的中央处理单元（CPU）; 其中所述GPU对所述多个图像执行注册应用以产生注册结果，并且其中所述GPU将所述注册结果返回给所述CPU。一种示例性方法包括将多个图像从中央处理单元（CPU）传送到图形处理单元（GPU）的步骤; 使用所述GPU对所述多个图像执行注册应用; 将执行步骤的结果从GPU传送到CPU。

5. 发明授权

US08848990B2 Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model 有权
标题翻译：基于从强度行为模型导出的合成图像，自动配准具有不同对比度的图像序列
公开(公告)号：US08848990B2
公开(公告)日：2014-09-30
申请号：US13237198
申请日：2011-09-20
申请人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
发明人： Hui Xue , Saurabh Shah , Jens Gühring , Andreas Greiser , Christophe Chefd'hotel , Christoph Guetter , Marie-Pierre Jolly , Sven Zuehlsdorff
IPC分类号： G06K9/00 , G06T5/50 , G06T7/00 , G01R33/44 , G01R33/565
CPC分类号： G06T5/50 , G01R33/448 , G01R33/56509 , G06T7/30 , G06T2207/10088 , G06T2207/20201 , G06T2207/30048
摘要： A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.
摘要翻译：用于在一系列磁共振（MR）图像中执行运动补偿的方法包括获取沿着MR恢复曲线横跨不同点的一组MR图像帧。使用与MR恢复曲线相关的先前知识，为每个所获取的MR图像帧生成无运动合成图像。所获取的MR图像中的每一个被注册到其对应的生成的合成图像。基于其对应的生成的已经被注册的合成图像来校正所获取的MR图像的每一个内的运动。

6. 发明授权

US08582846B2 Method and system for validating image registration 有权
标题翻译：验证图像配准的方法和系统
公开(公告)号：US08582846B2
公开(公告)日：2013-11-12
申请号：US13161656
申请日：2011-06-16
申请人： Guyu Li , Li Zhang , Christophe Chefd'hotel , Christoph Guetter
发明人： Guyu Li , Li Zhang , Christophe Chefd'hotel , Christoph Guetter
IPC分类号： G06K9/32
CPC分类号： G06T7/37 , G06T2207/20056
摘要： A method for validating non-rigid image registration includes acquiring a source image and a target image. Registration is performed from source image to target image using a non-rigid registration technique to produce forward transformation map. Registration is performed from the target image back to the source image using the non-rigid registration technique to produce a backward transformation map. Consistency registration error is measured as an indication of a change in local volume of the source with respect to the target image using the produced forward transformation map and the produced backward transformation map. The non-rigid registration technique is validated based on the measured consistency registration error.
摘要翻译：用于验证非刚性图像配准的方法包括获取源图像和目标图像。使用非刚性注册技术从源图像到目标图像进行注册以产生正向变换图。使用非刚性登记技术从目标图像返回到源图像，从而产生反向变换图。使用所产生的正向变换图和所产生的向后变换图，测量一致性登记误差作为相对于目标图像的源的局部体积的变化的指示。基于测量的一致性注册误差验证非刚性注册技术。

7. 发明申请

US20130070995A1 2D/3D IMAGE REGISTRATION METHOD 有权
标题翻译： 2D / 3D图像注册方法
公开(公告)号：US20130070995A1
公开(公告)日：2013-03-21
申请号：US13597963
申请日：2012-08-29
申请人： Chen-Rui Chou , Atilla Peter Kiraly , Christophe Chefd'hotel , David Thivierge-gaulin
发明人： Chen-Rui Chou , Atilla Peter Kiraly , Christophe Chefd'hotel , David Thivierge-gaulin
IPC分类号： G06K9/32
CPC分类号： G06T7/344 , G06K2209/057 , G06T2200/04 , G06T2207/10081 , G06T2207/10088 , G06T2207/10121 , G06T2207/10124 , G06T2207/30048
摘要： A method (100) that registers a 3D heart volume (112, 114) obtained from either a pre-operative MR image or CT image (102) to an intra-operative fluoroscopic image using a mesh of the heart structure (106) as the basis for the registration.
摘要翻译：一种方法（100），其使用心脏结构（106）的网格将从手术前MR图像或CT图像（102）获得的3D心脏体积（112,114）登记到手术中透视图像，作为注册基础。

8. 发明申请

US20130051647A1 Automatic Initialization for 2D/3D Registration 有权
标题翻译： 2D / 3D注册自动初始化
公开(公告)号：US20130051647A1
公开(公告)日：2013-02-28
申请号：US13591752
申请日：2012-08-22
申请人： Shun Miao , Christophe Chefd'hotel , Rui Liao
发明人： Shun Miao , Christophe Chefd'hotel , Rui Liao
IPC分类号： G06K9/62
CPC分类号： G06T7/344 , G06T2207/10081 , G06T2207/10121
摘要： A method for automatic initialization of 2D to 3D image registration includes acquiring a 3D model. A plurality of shape descriptor features is calculated from the acquired 3D model representing a plurality of poses of the 3D model. A 2D image is acquired. The plurality of shape descriptors is matched to the acquired 2D model. An optimum pose of the 3D model is determined based on the matching of the plurality of shape descriptors to the acquired 2D model. An initial registration is generated, in an image processing system, between the 3D model and the 2D image based on the determined optimum pose.
摘要翻译：用于2D到3D图像配准的自动初始化的方法包括获取3D模型。从所获取的3D模型中计算出多个形状描述符特征，该3D模型表示3D模型的多个姿态。获取2D图像。多个形状描述符与获取的2D模型相匹配。基于多个形状描述符与所获取的2D模型的匹配来确定3D模型的最佳姿态。在图像处理系统中，基于确定的最佳姿态在3D模型和2D图像之间生成初始注册。

9. 发明申请

US20120140998A1 Deformable Motion Correction for Stent Visibility Enhancement 有权
标题翻译：用于支架可见度增强的可变形运动校正
公开(公告)号：US20120140998A1
公开(公告)日：2012-06-07
申请号：US13277312
申请日：2011-10-20
申请人： Ying Zhu , Christophe Chefd'hotel
发明人： Ying Zhu , Christophe Chefd'hotel
IPC分类号： G06K9/00
CPC分类号： G06T5/006 , G06T7/194 , G06T2207/10081 , G06T2207/10121 , G06T2207/10132 , G06T2207/30021 , G06T2207/30101 , G06T2207/30204
摘要： A method for enhancing stent visibility includes acquiring a set of image frames including multiple test frames. A set of measurement points uniformly distributed within an image of a stent is defined in the test frames. A local image context is defined around each measurement point. A non-rigid deformation field relating the local image contexts of the test frames to local image contexts of a reference image is calculated. The non-rigid deformation field is optimized by maximizing a similarity function between the local image contexts of the test frames and the local image contexts of the reference image. The optimized non-rigid deformation field is used to deform images of a stent in the multiple test frames and combine the non-rigidly deformed images of the stent from the test frames. An image frame with the combined image of the stents superimposed thereon is displayed.
摘要翻译：一种用于增强支架可见度的方法包括获取包括多个测试框架的一组图像帧。在测试框架中定义了在支架的图像内均匀分布的一组测量点。在每个测量点周围定义一个局部图像上下文。计算将测试帧的局部图像上下文与参考图像的局部图像上下文相关联的非刚性变形场。通过最大化测试帧的局部图像上下文与参考图像的局部图像上下文之间的相似度函数来优化非刚性变形场。优化的非刚性变形场用于在多个测试框架中变形支架的图像，并将来自测试框架的支架的非刚性变形图像组合。显示具有叠加在其上的支架的组合图像的图像帧。

10. 发明授权

US08064674B2 Robust classification of fat and water images from 1-point-Dixon reconstructions 有权
标题翻译：从1点狄克逊重建的肥胖和水图像的鲁棒分类
公开(公告)号：US08064674B2
公开(公告)日：2011-11-22
申请号：US12467614
申请日：2009-05-18
申请人： Matthias Fenchel , Christophe Chefd'hotel
发明人： Matthias Fenchel , Christophe Chefd'hotel
IPC分类号： G06K9/62 , G06T7/00 , G06N5/02
CPC分类号： G06K9/6292 , G06T7/11 , G06T2207/10088
摘要： Dixon methods in magnetic resonance imaging generate MRI images that may contain at least two tissue components such as fat and water. Dixon methods generate images containing both tissue components and predominantly one tissue component. A first segmentation of a first tissue component is generated in a T1 weighted image. The segmentation is correlated with at least a first and a second Dixon image. The image with the highest correlation is assigned the first tissue component.
摘要翻译：磁共振成像中的Dixon方法产生可能含有至少两种组织成分如脂肪和水的MRI图像。 Dixon方法产生包含组织成分和主要是一个组织成分的图像。在T1加权图像中产生第一组织分量的第一分割。分割与至少第一和第二Dixon图像相关。具有最高相关性的图像被分配第一组织分量。

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