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31. 发明授权

US08879815B2 Automatic initialization for 2D/3D registration 有权
标题翻译：自动初始化2D / 3D注册
公开(公告)号：US08879815B2
公开(公告)日：2014-11-04
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： G06K9/00 , G06T7/00 , A61B8/00
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。

32. 发明授权

US08774482B2 Generating pseudo-CT image volumes from ultra-short echo time MR 失效
标题翻译：从超短回波时间MR生成伪CT图像体积
公开(公告)号：US08774482B2
公开(公告)日：2014-07-08
申请号：US13109159
申请日：2011-05-17
申请人： James G. Reisman , Christophe Chefd'hotel
发明人： James G. Reisman , Christophe Chefd'hotel
IPC分类号： G06K9/00 , G01R33/48 , G06T7/00
CPC分类号： G06T7/0028 , G01R33/481 , G01R33/4812 , G01R33/4816 , G06T7/11 , G06T7/33 , G06T2207/10088 , G06T2207/30008
摘要： A method for generating a pseudo-computed tomography (CT) image volume includes acquiring a first magnetic resonance (MR) image volume (UTE1) using an ultra-short echo time and acquiring a second MR image volume (UTE2) using a conventional echo time that is longer than the ultra-short echo time. The acquired UTE1 and UTE2 image volumes are normalized. A mask for an anatomical structure featured in the normalized UTE1 and UTE2 image volumes is created and bone regions are segmented from the normalized UTE1 and UTE2 image volumes using the created mask and one or more trained classifiers. A pseudo-CT image is constructed from the normalized UTE1 and UTE2 image volumes, the created mask, and the segmented bone regions.
摘要翻译：一种用于生成伪计算机断层摄影（CT）图像体积的方法包括使用超短回波时间获取第一磁共振（MR）图像体积（UTE1），并使用传统回波时间获取第二MR图像体积（UTE2）这比超短的回波时间长。获得的UTE1和UTE2图像体积被归一化。创建用于在归一化UTE1和UTE2图像体积中特征的解剖结构的掩模，并且使用所创建的掩模和一个或多个训练分类器从标准化的UTE1和UTE2图像体积分割骨区域。从正常化UTE1和UTE2图像体积，创建的掩模和分割的骨区域构建伪CT图像。

33. 发明授权

US08577177B2 Symmetric and inverse-consistent deformable registration 有权
标题翻译：对称和反向一致的可变形配准
公开(公告)号：US08577177B2
公开(公告)日：2013-11-05
申请号：US13291370
申请日：2011-11-08
申请人： Christoph Guetter , Christophe Chefd'hotel , Hui Xue , Jens Guehring
发明人： Christoph Guetter , Christophe Chefd'hotel , Hui Xue , Jens Guehring
IPC分类号： G06K9/32
CPC分类号： G06T3/0068 , G06K2209/051
摘要： A method for symmetric and inverse-consistent registration of a pair of digital images includes calculating a first update of a forward transformation of a first digital image to a second digital image from a previous update of the forward transformation and a gradient of a cost function of the first and second digital images, calculating a first update of a backward transformation of the second digital image to the first digital image from an inverse of the first update of the forward transformation, calculating a second update of the backward transformation from first update of the backward transformation and the gradient of a cost function of the second and first digital images, and calculating a second update of the forward transformation from an inverse of the second update of the backward transformation.
摘要翻译：用于一对数字图像的对称和反向一致配准的方法包括从前向变换的先前更新和第一数字图像的成本函数的梯度计算第一数字图像向第二数字图像的正向变换的第一更新所述第一数字图像和所述第二数字图像从所述正向变换的所述第一更新的逆算出计算所述第二数字图像向所述第一数字图像的反向变换的第一更新，从所述正向变换的所述第一更新计算所述反向变换的第二更新，反向变换和第二和第一数字图像的成本函数的梯度，以及从反向变换的第二更新的倒数计算正向变换的第二更新。

34. 发明授权

US08553964B2 Unifying reconstruction and motion estimation in first pass cardiac perfusion imaging 有权
标题翻译：一次心脏灌注显像统一重建和运动估计
公开(公告)号：US08553964B2
公开(公告)日：2013-10-08
申请号：US13273410
申请日：2011-10-14
申请人： Christophe Chefd'hotel , Mathews Jacob , Sajan Goud Lingala , Mariappan S. Nadar , Li Zhang
发明人： Christophe Chefd'hotel , Mathews Jacob , Sajan Goud Lingala , Mariappan S. Nadar , Li Zhang
IPC分类号： G06K9/00 , A61B5/00 , A61B8/00
CPC分类号： G01R33/56366 , G01R33/5611 , G01R33/56509
摘要： Methods and a system to unify reconstruction and motion estimation steps in first pass cardiac perfusion MRI include a global objective function that meets data consistency, spatial smoothness, motion and contrast dynamics constraints. The global objective decomposed into simpler sub-problems which include low pass filtering of a deformed object, TV shrinkage, analytical Fourier replacement and an l2 minimizing problem. A registration tool based on the local cross-correlation similarity measure and enabled to perform both rigid and flexile deformations, is applied. Registration parameters are tuned by rigid, semi rigid and flexible models at different stages of iterations. A system to perform the methods is also disclosed.
摘要翻译：在第一次心脏灌注MRI中统一重建和运动估计步骤的方法和系统包括满足数据一致性，空间平滑度，运动和对比度动力学约束的全局目标函数。全局目标分解为更简单的子问题，包括变形对象的低通滤波，电视收缩，分析傅立叶置换和最小二乘问题。应用基于局部互相关相似性测量并且能够执行刚性和柔性变形的注册工具。注册参数通过刚性，半刚性和柔性模型在不同的迭代阶段进行调整。还公开了执行方法的系统。

35. 发明授权

US08498459B2 System and method for verifying registration accuracy in digital medical images 有权
标题翻译：用于验证数字医学图像中的注册精度的系统和方法
公开(公告)号：US08498459B2
公开(公告)日：2013-07-30
申请号：US12897845
申请日：2010-10-05
申请人： Christophe Chefd'hotel , Benjamin L. Odry
发明人： Christophe Chefd'hotel , Benjamin L. Odry
IPC分类号： G06K9/00
CPC分类号： G06K9/6215 , G06T7/33 , G06T2207/10072 , G06T2207/30016
摘要： A method of verifying a registration of a digital image includes receiving a reference image and a moving image registered to the reference image representing the same object, selecting one or more landmarks in the images, defining a neighborhood in the domain of each image near each selected landmark, extracting feature sets from the neighborhoods for the reference image and the registered moving image, calculating a total quality measure of the registration of the moving image from a distance metric applied to the feature sets extracted from the neighborhoods of the reference image and the registered moving image, comparing the total quality measure to a threshold determined from a reference atlas for the object represented in the image, and determining whether to accept or reject the registration of the moving image based on the comparison result.
摘要翻译：验证数字图像的注册的方法包括接收参考图像和登记到表示相同对象的参考图像的运动图像，选择图像中的一个或多个界标，定义每个图像附近的每个图像的域中的邻域从参考图像和注册的运动图像的邻域中提取特征集合，从施加到从参考图像的邻域提取的特征集的距离度量和注册的参考图像的附近计算运动图像的注册的总质量测量运动图像，将总质量度量与由图像中表示的对象的参考图集确定的阈值进行比较，以及基于比较结果确定是否接受或拒绝运动图像的注册。

36. 发明授权

US08483464B2 System and method for detecting and correcting registration misalignment of MR perfusion images 有权
标题翻译：用于检测和纠正MR灌注图像的配准失准的系统和方法
公开(公告)号：US08483464B2
公开(公告)日：2013-07-09
申请号：US12897849
申请日：2010-10-05
申请人： Li Zhang , Christophe Chefd'hotel
发明人： Li Zhang , Christophe Chefd'hotel
IPC分类号： G06K9/00 , G06K9/32
CPC分类号： G06T7/35 , G06T2207/10076 , G06T2207/10096 , G06T2207/30016
摘要： A method for correcting registration misalignment in magnetic resonance perfusion images includes receiving a time series of magnetic resonance images of an anatomical organ, each image comprising a plurality of intensities defined on an N-dimensional domain of points, performing a first group-wise registration of all images in the time series of images using a pair-wise registration as an initialization, detecting a misaligned image from the group-wise registration by analyzing a total variation of intensity differences between consecutive images, and correcting the misaligned image by optimizing a second group-wise energy function over registration parameters of the misaligned image.
摘要翻译：用于校正磁共振灌注图像中的配准未对准的方法包括接收解剖器官的磁共振图像的时间序列，每个图像包括在点的N维域上限定的多个强度，执行第一次分组注册使用成对注册的图像的时间序列中的所有图像作为初始化，通过分析连续图像之间的强度差的总变化来检测来自分组注册的未对齐图像，并且通过优化第二组来校正未对准图像对于不对准图像的记录参数，

37. 发明申请

US20110311121A1 SYSTEM AND METHOD FOR DETECTING AND CORRECTING REGISTRATION MISALIGNMENT OF MR PERFUSION IMAGES 有权
标题翻译：用于检测和校正MR灌注图像的注册缺失的系统和方法
公开(公告)号：US20110311121A1
公开(公告)日：2011-12-22
申请号：US12897849
申请日：2010-10-05
申请人： Li Zhang , Christophe Chefd'hotel
发明人： Li Zhang , Christophe Chefd'hotel
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06T2207/10076 , G06T2207/10096 , G06T2207/30016
摘要： A method for correcting registration misalignment in magnetic resonance perfusion images includes receiving a time series of magnetic resonance images of an anatomical organ, each image comprising a plurality of intensities defined on an N-dimensional domain of points, performing a first group-wise registration of all images in the time series of images using a pair-wise registration as an initialization, detecting a misaligned image from the group-wise registration by analyzing a total variation of intensity differences between consecutive images, and correcting the misaligned image by optimizing a second group-wise energy function over registration parameters of the misaligned image.
摘要翻译：用于校正磁共振灌注图像中的配准未对准的方法包括接收解剖器官的磁共振图像的时间序列，每个图像包括在点的N维域上限定的多个强度，执行第一次分组注册使用成对注册的图像的时间序列中的所有图像作为初始化，通过分析连续图像之间的强度差的总变化来检测来自分组注册的未对齐图像，并且通过优化第二组来校正未对准图像对于不对准图像的记录参数，

38. 发明申请

US20080247646A1 METHOD FOR SEGMENTING AN IMAGE USING CONSTRAINED GRAPH PARTITIONING OF WATERSHED ADJACENCY GRAPHS 有权
标题翻译：使用受水平面图划分图像的方法
公开(公告)号：US20080247646A1
公开(公告)日：2008-10-09
申请号：US11923868
申请日：2007-10-25
申请人： Christophe Chefd'hotel , Alexis Sebbane
发明人： Christophe Chefd'hotel , Alexis Sebbane
IPC分类号： G06K9/00
CPC分类号： G06T7/162 , G06T7/11 , G06T7/155 , G06T2207/10081 , G06T2207/30061
摘要： A method for segmenting at least a pair of regions of an image, such method comprising: obtaining data of the image; computing watersheds of the image from intensity gradients of such image data; extracting a watershed region adjacency graph from the computed watersheds, such graph comprising a plurality of nodes corresponding to the watersheds and node interconnecting edges; assigning weights to the interconnecting edges; identifying each of the pair of regions in the image; identifying the nodes corresponding to the pair of identified regions in the adjacency graph; applying constrained graph-partitioning in the adjacency graph using the edge-weights to label unmarked nodes corresponding to each one of the pair of regions; and extrapolating the obtained label nodes on the graph to the image to segment each one of the pair of regions of the image.
摘要翻译：一种用于分割图像的至少一对区域的方法，所述方法包括：获得图像的数据; 从图像数据的强度梯度计算图像的流域; 从所计算的流域中提取分水岭区域邻接图，所述图包括对应于流域和节点互连边缘的多个节点; 为互连边缘分配权重; 识别图像中的该对区域中的每一个; 识别与邻接图中的所述一对识别的区域相对应的节点; 使用边缘权重在邻接图中应用约束图划分来标记对应于该对区域中的每一个的未标记节点; 并且将获得的图上的标签节点外推到图像上以分割图像的该对区域中的每一个。

39. 发明授权

US08942455B2 2D/3D image registration method 有权
标题翻译： 2D / 3D图像配准方法
公开(公告)号：US08942455B2
公开(公告)日：2015-01-27
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： G06T7/00
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。

40. 发明授权

US08515146B2 Deformable motion correction for stent visibility enhancement 有权
标题翻译：支架可见度增强的变形运动校正
公开(公告)号：US08515146B2
公开(公告)日：2013-08-20
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 , A61B1/00
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。

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