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1.发明授权System and method for the generation of attenuation correction maps from MR images 有权用于从MR图像生成衰减校正图的系统和方法公开(公告)号：US08218848B2
公开(公告)日：2012-07-10
申请号：US12506333
申请日：2009-07-21
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译： 用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域 和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。
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2.发明申请SYSTEM AND METHOD FOR THE GENERATION OF ATTENUATION CORRECTION MAPS FROM MR IMAGES 有权用于从MR图像生成衰减校正图的系统和方法公开(公告)号：US20100021034A1
公开(公告)日：2010-01-28
申请号：US12506333
申请日：2009-07-21
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/051 , G06T7/11 , G06T7/149 , G06T2207/10088 , G06T2207/30004
摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.
摘要翻译： 用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域 和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。
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3.发明授权Automatic registration of image series with varying contrast based on synthetic images derived from intensity behavior model 有权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。
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4.发明申请公开(公告)号：US20120189183A1
公开(公告)日：2012-07-26
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
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。
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5.发明授权公开(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
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。
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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
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。
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公开(公告)号：US20050271302A1
公开(公告)日：2005-12-08
申请号：US11109126
申请日：2005-04-19
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。
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8.发明授权公开(公告)号：US08300047B2
公开(公告)日：2012-10-30
申请号：US12398220
申请日：2009-03-05
IPC分类号： G06T15/00
CPC分类号： G06T7/13 , G06T7/155 , G06T7/60 , G06T15/08 , G06T19/00 , G06T2207/20044 , G06T2207/30028 , G06T2207/30172 , G06T2215/06 , G06T2215/08 , G06T2219/021
摘要： A system and method for colon unfolding via skeletal subspace deformation comprises: performing a centerline computation on a segmented image for deriving a centerline thereof; computing a distance map utilizing said centerline and said segmented image to derive said distance map; generating a polyhedral model of the lumen of said colon; and utilizing said polyhedral model, said distance map, and said centerline for performing a straightening operation on said centerline.
摘要翻译： 用于经由骨骼子空间变形的冒口展开的系统和方法包括：对分割图像执行中心线计算以得出其中心线; 使用所述中心线和所述分割图像计算距离图以导出所述距离图; 产生所述结肠的腔的多面体模型; 以及利用所述多面体模型，所述距离图和所述中心线来对所述中心线进行矫正操作。
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公开(公告)号：US20090225077A1
公开(公告)日：2009-09-10
申请号：US12398220
申请日：2009-03-05
IPC分类号： G06T17/20
CPC分类号： G06T7/13 , G06T7/155 , G06T7/60 , G06T15/08 , G06T19/00 , G06T2207/20044 , G06T2207/30028 , G06T2207/30172 , G06T2215/06 , G06T2215/08 , G06T2219/021
摘要： A system and method for colon unfolding via skeletal subspace deformation comprises: performing a centerline computation on a segmented image for deriving a centerline thereof; computing a distance map utilizing said centerline and said segmented image to derive said distance map; generating a polyhedral model of the lumen of said colon; and utilizing said polyhedral model, said distance map, and said centerline for performing a straightening operation on said centerline.
摘要翻译： 用于经由骨骼子空间变形的冒口展开的系统和方法包括：对分割图像执行中心线计算以得出其中心线; 使用所述中心线和所述分割图像计算距离图以导出所述距离图; 产生所述结肠的腔的多面体模型; 以及利用所述多面体模型，所述距离图和所述中心线来对所述中心线进行矫正操作。
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公开(公告)号：US20050048456A1
公开(公告)日：2005-03-03
申请号：US10915501
申请日：2004-08-09
CPC分类号： G06T7/38 , G06T7/33 , G06T2207/10081 , G06T2207/10088 , G06T2207/30028
摘要： A method for registration of virtual endoscopy images in first and second patient positions comprises performing colon segmentation and feature extraction, including centerline and colon surface data for each of the images; resampling the centerline and colon surface data; computing respective local descriptors; pairing point correspondences on the centerlines between the first and second images by minimal cost matching; extrapolating the centerline point correspondences to a 3-dimensional/3-dimensional (3D/3D) transformation between the first and second images. The method also includes selecting a position for a virtual endoscope in one of the images; associating an orthogonal reference frame with the virtual endoscope; and applying the 3D/3D transformation to the orthogonal reference frame so as to derive a corresponding transformed reference frame for the virtual endoscope in the other of the images.
摘要翻译： 用于在第一和第二患者位置注册虚拟内窥镜检查图像的方法包括执行冒号分割和特征提取，包括每个图像的中心线和结肠表面数据; 重新取样中线和结肠表面数据; 计算相应的局部描述符; 通过最小成本匹配在第一和第二图像之间的中心线上的配对点对应; 将中心线点对应于第一和第二图像之间的三维/三维（3D / 3D）变换。 该方法还包括在其中一个图像中选择虚拟内窥镜的位置; 将正交参考帧与虚拟内窥镜相关联; 以及将3D / 3D变换应用于正交参考帧，以便在另一个图像中导出虚拟内窥镜的对应变换的参考帧。
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