-
1.发明申请System and Method for Generating Three-Dimensional Images From Two-Dimensional Bioluminescence Images and Visualizing Tumor Shapes and Locations 有权用于从二维生物发光图像生成三维图像并显示肿瘤形状和位置的系统和方法公开(公告)号：US20130070992A1
公开(公告)日：2013-03-21
申请号：US13545672
申请日：2012-07-10
IPC分类号： G06T15/00
CPC分类号： G06T7/0012 , G06T7/593
摘要： A system and methods for generating 3D images from 2D bioluminescent images and visualizing tumor locations are provided. A plurality of 2D bioluminescent images of a subject are acquired using any suitable bioluminescent imaging system. The 2D images are registered to align each image and to compensate for differences between adjacent images. After registration, corresponding features are identified between consecutive sets of 2D images. For each corresponding feature identified in each set of 2D images, an orthographic projection model is applied, such that rays are projected through each point in the feature. The intersection points of the rays are plotted in a 3D image space. All of the 2D images are processed in the same manner, such that a resulting 3D image of a tumor is generated.
摘要翻译： 提供了一种用于从2D生物发光图像生成3D图像并可视化肿瘤位置的系统和方法。 使用任何合适的生物发光成像系统获取对象的多个2D生物发光图像。 注册2D图像以对齐每个图像并补偿相邻图像之间的差异。 在注册之后，在连续的2D图像集之间识别相应的特征。 对于每组2D图像中识别的每个相应特征，应用正交投影模型，使得射线通过特征中的每个点投影。 将光线的交点绘制在3D图像空间中。 以相同的方式处理所有2D图像，使得产生肿瘤的所得3D图像。
-
2.发明申请System and Methods for Generating Three-Dimensional Images From Two-Dimensional Bioluminescence Images and Visualizing Tumor Shapes and Locations 有权用于从二维生物发光图像生成三维图像并显示肿瘤形状和位置的系统和方法公开(公告)号：US20090148013A1
公开(公告)日：2009-06-11
申请号：US12065980
申请日：2006-08-31
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/593
摘要： A system and methods for generating 3D images (24) from 2D bioluminescent images (22) and visualizing tumor locations are provided. A plurality of 2D bioluminescent images of a subject are acquired during a complete revolution of an imaging system about a subject, using any suitable bioluminescent imaging system. After imaging, the 2D images are registered (20) according to the rotation axis to align each image and to compensate for differences between adjacent images. After registration (20), corresponding features are identified between consecutive sets of 2D image (22). For each corresponding feature identified in each set of 2D images an orthographic projection model (24) is applied, such that rays are projected through each point in the feature. The intersection point of the rays are plotted in a 3D image of a tumor is generated. The 3D image can be registered with a reference image of the subject, so that the shape and location of the tumor can be precisely visualized with respect to the subject.
摘要翻译： 提供了用于从2D生物发光图像（22）生成3D图像（24）并且可视化肿瘤位置的系统和方法。 使用任何合适的生物发光成像系统，在关于受试者的成像系统的完整旋转期间获取对象的多个2D生物发光图像。 在成像之后，根据旋转轴记录（20）2D图像以对准每个图像并补偿相邻图像之间的差异。 在注册（20）之后，在连续的2D图像组（22）之间识别相应的特征。 对于在每组2D图像中识别的每个相应特征，应用正投影模型（24），使得射线通过特征中的每个点投影。 将光线的交点绘制在肿瘤的3D图像中。 3D图像可以与受试者的参考图像一起登记，使得可以相对于受试者精确地显现肿瘤的形状和位置。
-
3.发明授权System and method for generating three-dimensional images from two-dimensional bioluminescence images and visualizing tumor shapes and locations 有权用于从二维生物发光图像生成三维图像并可视化肿瘤形状和位置的系统和方法公开(公告)号：US09519964B2
公开(公告)日：2016-12-13
申请号：US13545672
申请日：2012-07-10
CPC分类号： G06T7/0012 , G06T7/593
摘要： A system and methods for generating 3D images from 2D bioluminescent images and visualizing tumor locations are provided. A plurality of 2D bioluminescent images of a subject are acquired using any suitable bioluminescent imaging system. The 2D images are registered to align each image and to compensate for differences between adjacent images. After registration, corresponding features are identified between consecutive sets of 2D images. For each corresponding feature identified in each set of 2D images, an orthographic projection model is applied, such that rays are projected through each point in the feature. The intersection points of the rays are plotted in a 3D image space. All of the 2D images are processed in the same manner, such that a resulting 3D image of a tumor is generated.
摘要翻译： 提供了一种用于从2D生物发光图像生成3D图像并可视化肿瘤位置的系统和方法。 使用任何合适的生物发光成像系统获取对象的多个2D生物发光图像。 注册2D图像以对齐每个图像并补偿相邻图像之间的差异。 在注册之后，在连续的2D图像集之间识别相应的特征。 对于每组2D图像中识别的每个相应特征，应用正交投影模型，使得射线通过特征中的每个点投影。 将光线的交点绘制在3D图像空间中。 以相同的方式处理所有2D图像，使得产生肿瘤的所得3D图像。
-
4.发明授权System and methods for generating three-dimensional images from two-dimensional bioluminescence images and visualizing tumor shapes and locations 有权用于从二维生物发光图像生成三维图像并可视化肿瘤形状和位置的系统和方法公开(公告)号：US08218836B2
公开(公告)日：2012-07-10
申请号：US12065980
申请日：2006-08-31
CPC分类号： G06T7/0012 , G06T7/593
摘要： A system and methods for generating 3D images (24) from 2D bioluminescent images (22) and visualizing tumor locations are provided. A plurality of 2D bioluminescent images of a subject are acquired during a complete revolution of an imaging system about a subject, using any suitable bioluminescent imaging system. After imaging, the 2D images are registered (20) according to the rotation axis to align each image and to compensate for differences between adjacent images. After registration (20), corresponding features are identified between consecutive sets of 2D image (22). For each corresponding feature identified in each set of 2D images an orthographic projection model (24) is applied, such that rays are projected through each point in the feature. The intersection point of the rays are plotted in a 3D image of a tumor is generated. The 3D image can be registered with a reference image of the subject, so that the shape and location of the tumor can be precisely visualized with respect to the subject.
摘要翻译： 提供了用于从2D生物发光图像（22）生成3D图像（24）并且可视化肿瘤位置的系统和方法。 使用任何合适的生物发光成像系统，在关于受试者的成像系统的完整旋转期间获取对象的多个2D生物发光图像。 在成像之后，根据旋转轴记录（20）2D图像以对准每个图像并补偿相邻图像之间的差异。 在注册（20）之后，在连续的2D图像组（22）之间识别相应的特征。 对于在每组2D图像中识别的每个相应特征，应用正投影模型（24），使得射线通过特征中的每个点投影。 将光线的交点绘制在肿瘤的3D图像中。 3D图像可以与受试者的参考图像一起登记，使得可以相对于受试者精确地显现肿瘤的形状和位置。
-
5.发明授权Method and system for hybrid rigid registration based on joint correspondences between scale-invariant salient region features 失效基于尺度不变突出特征之间的联合对应的混合刚体配准的方法和系统公开(公告)号：US07362920B2
公开(公告)日：2008-04-22
申请号：US10945675
申请日：2004-09-21
申请人： Chenyang Xu , Xiaolei Huang , Yiyong Sun , Frank Sauer
发明人： Chenyang Xu , Xiaolei Huang , Yiyong Sun , Frank Sauer
IPC分类号： G06K9/32
CPC分类号： G06K9/6211 , G06K9/6212 , G06K2009/6213 , G06T7/246 , G06T7/277 , G06T7/337 , G06T7/35 , G06T2207/30016
摘要： A method of aligning a pair of images includes providing a pair of images with a first image and a second image, wherein the images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space. Salient feature regions are identified in both the first image and the second image, a correspondence between each pair of salient feature regions is hypothesized, wherein a first region of each pair is on the first image and a second region of each pair is on the second image, the likelihood of the hypothesized correspondence of each pair of feature regions is measured, and a joint correspondence is determined from a set of pairs of feature regions with the greatest likelihood of correspondence.
摘要翻译： 对准一对图像的方法包括提供具有第一图像和第二图像的一对图像，其中图像包括对应于D维空间中的点的域的多个强度。 在第一图像和第二图像两者中识别出显着特征区域，假设每对突出特征区域之间的对应关系，其中每对的第一区域在第一图像上，并且每一对的第二区域位于第二图像的第二图像上 测量每对特征区域的假设对应关系的可能性，并且从一组对应关系最大的特征区域对确定联合对应关系。
-
6.发明申请Robust click-point linking with geometric configuration context: interactive localized registration approach 有权强大的点击链接与几何配置上下文：交互式本地化注册方法公开(公告)号：US20070242901A1
公开(公告)日：2007-10-18
申请号：US11705375
申请日：2007-02-12
申请人： Xiaolei Huang , Arun Krishnan , Kazunori Okada , Xiang Zhou
发明人： Xiaolei Huang , Arun Krishnan , Kazunori Okada , Xiang Zhou
IPC分类号： G06K9/32
CPC分类号： G06K9/4671 , G06K9/6211
摘要： A framework is disclosed for robust click-point linking, defined as estimating a single point-wise correspondence between a pair of data domains given a user-specified point in one domain. It can also be interpreted as robust and efficient interactive localized registration of a monomodal data pair. To link visually dissimilar local regions, the concept of Geometric Configuration Context (GCC) is introduced. GCC represents the spatial likelihood of the point corresponding to the click-point in the other domain. A set of scale-invariant saliency features are pre-computed for both data, and GCC is modeled by a Gaussian mixture whose component mean and width are determined as a function of the neighboring saliency features and their correspondences. This allows correspondence of dissimilar parts using only geometrical relations without comparing the local appearances. GCC models are derived for three transformation classes: 1) pure translation, 2) scaling and translation, and 3) similarity transformation. For solving the linking problem, a variable-bandwidth mean shift method is adapted for estimating the maximum likelihood solution of the GCC.
摘要翻译： 公开了用于鲁棒点击链接的框架，其被定义为在给定一个域中的用户指定点的一对数据域之间估计单个点对应关系。 它也可以被解释为单模数据对的鲁棒且有效的交互式局部化注册。 为了连接视觉上不同的局部区域，引入了几何配置上下文（GCC）的概念。 GCC表示对应于另一个域中的点击点的点的空间似然性。 对于这两种数据预先计算了一组尺度不变的显着特征，并且GCC由高斯混合来建模，其组分平均值和宽度被确定为邻近显着特征及其对应关系的函数。 这允许不相似部分的对应使用仅几何关系而不比较局部外观。 GCC模型是为三个变换类派生的：1）纯翻译，2）缩放和翻译，以及3）相似变换。 为了解决连接问题，可变带宽平均偏移方法适用于估计GCC的最大似然解。
-
公开(公告)号：US20240319450A1
公开(公告)日：2024-09-26
申请号：US18207361
申请日：2023-06-08
申请人： Xiaolei Huang , Xiancai Liu , Xuegang Zhu , Liang Zou
发明人： Xiaolei Huang , Xiancai Liu , Xuegang Zhu , Liang Zou
IPC分类号： G02B6/38
CPC分类号： G02B6/3898
摘要： Embodiments of present invention provides a pluggable optical transceiver module. The transceiver module includes a top cover and a bottom cover; a release mechanism; and a set of springs, where the release mechanism includes a pull tab; a latch; and a shaft, wherein the pull tab is connected with the latch by the shaft and the pull tab, the latch, and the shaft have an interference fit, a transition fit, or a clearance fit.
-
8.发明授权Robust click-point linking with geometric configuration context: interactive localized registration approach 有权强大的点击链接与几何配置上下文：交互式本地化注册方法公开(公告)号：US07903857B2
公开(公告)日：2011-03-08
申请号：US11705375
申请日：2007-02-12
申请人： Xiaolei Huang , Arun Krishnan , Kazunori Okada , Xiang Zhou
发明人： Xiaolei Huang , Arun Krishnan , Kazunori Okada , Xiang Zhou
CPC分类号： G06K9/4671 , G06K9/6211
摘要： Disclosed is robust click-point linking, defined as estimating a single point-wise correspondence between data domains given a user-specified point in one domain or as an interactive localized registration of a monomodal data pair. To link visually dissimilar local regions, Geometric Configuration Context (GCC) is introduced. GCC represents the spatial likelihood of the point corresponding to the click-point in the other domain. A set of scale-invariant saliency features are pre-computed for both data. GCC is modeled by a Gaussian mixture whose component mean and width are determined as a function of the neighboring saliency features and their correspondences. This allows correspondence of dissimilar parts using only geometrical relations without comparing the local appearances. GCC models are derived for three transformation classes: pure translation, scaling and translation, and similarity transformation. For solving the linking problem, a variable-bandwidth mean shift method is adapted for estimating the maximum likelihood solution of the GCC.
摘要翻译： 公开了强大的点对点链接，定义为估计给定一个域中的用户指定点的数据域之间的单个点对应关系，或者作为单模数据对的交互式局部化注册。 为了链接视觉上不同的局部区域，引入了几何配置上下文（GCC）。 GCC表示对应于另一个域中的点击点的点的空间似然性。 对两个数据都预先计算了一组尺度不变的显着特征。 GCC由高斯混合物建模，其分量平均值和宽度被确定为邻近显着特征及其对应关系的函数。 这允许不相似部分的对应使用仅几何关系而不比较局部外观。 GCC模型是为三个转换类派生的：纯翻译，缩放和翻译，以及相似变换。 为了解决连接问题，可变带宽平均偏移方法适用于估计GCC的最大似然解。
-
9.发明授权System and method for whole body landmark detection, segmentation and change quantification in digital images 有权数字图像全身地标检测，分割和变化量化的系统和方法公开(公告)号：US07876938B2
公开(公告)日：2011-01-25
申请号：US11542477
申请日：2006-10-03
申请人： Xiaolei Huang , Xiang Zhou , Anna Jerebko , Arun Krishnan , Haiying Guan , Toshiro Kubota , Vaclav Potesil
发明人： Xiaolei Huang , Xiang Zhou , Anna Jerebko , Arun Krishnan , Haiying Guan , Toshiro Kubota , Vaclav Potesil
CPC分类号： G06T7/174 , G06T7/155 , G06T7/33 , G06T7/38 , G06T2207/10072 , G06T2207/20016 , G06T2207/20081 , G06T2207/20164 , G06T2207/30004 , G06T2207/30204
摘要： A method for segmenting digitized images includes providing a training set comprising a plurality of digitized whole-body images, providing labels on anatomical landmarks in each image of said training set, aligning each said training set image, generating positive and negative training examples for each landmark by cropping the aligned training volumes into one or more cropping windows of different spatial scales, and using said positive and negative examples to train a detector for each landmark at one or more spatial scales ranging from a coarse resolution to a fine resolution, wherein the spatial relationship between a cropping windows of a coarse resolution detector and a fine resolution detector is recorded.
摘要翻译： 用于分割数字化图像的方法包括提供包括多个数字化的全身图像的训练集合，在所述训练集合的每个图像中的解剖学标志上提供标签，对准每个所述训练集合图像，为每个界标生成正和负训练样本 通过将对准的训练量裁剪成不同空间尺度的一个或多个裁剪窗口，并且使用所述正和负的示例来在从粗分辨率到精细分辨率的一个或多个空间尺度上训练每个地标的检测器，其中空间 记录粗分辨率检测器的裁切窗与精细分辨率检测器之间的关系。
-
10.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。
-
-
-
-
-
-
-
-
-
搜索结果
16 条记录 (耗时 0.022 秒)
