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51.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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公开(公告)号：US08121379B2
公开(公告)日：2012-02-21
申请号：US11805218
申请日：2007-05-22
IPC分类号： G06K9/00
CPC分类号： A61B90/36 , A61B2090/364 , G06T7/35 , G06T2207/30016
摘要： A method of aligning image having the steps of obtaining a first image, the first image having a corresponding first data set, obtaining a second image, the second having a corresponding second data set; learning a joint intensity distribution from a pair of prealigned images, and aligning the first image and the second image by computing Earth Mover's Distance between their observed joint intensity distribution and the learned joint intensity distribution.
摘要翻译： 一种对准具有获得第一图像的步骤的图像的方法，所述第一图像具有对应的第一数据集，获得第二图像，所述第二图像具有对应的第二数据集; 从一对预对准图像学习联合强度分布，并通过计算地球移动器的观察到的关节强度分布与学习的关节强度分布之间的距离来对准第一图像和第二图像。
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53.发明申请公开(公告)号：US20110286649A1
公开(公告)日：2011-11-24
申请号：US13109159
申请日：2011-05-17
IPC分类号： G06K9/00
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。
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54.发明授权公开(公告)号：US07715654B2
公开(公告)日：2010-05-11
申请号：US11580670
申请日：2006-10-13
申请人： Christophe Chefd'hotel , Wanmei Ou
发明人： Christophe Chefd'hotel , Wanmei Ou
CPC分类号： G06K9/6289 , G06T5/50 , G06T7/30 , G06T2207/30016
摘要： A method for multimodal image registration includes providing a pair of images acquired from differing imaging modalities, defining an intensity correction function that corrects the intensities of a first image in terms of the intensities of the second image, defining a registration transformation function that registers the second image with the first image, wherein said intensity correction function and transformation function are functions of a plurality of parameters, obtaining corrections to the plurality of parameters by minimizing an energy functional of a square difference of the intensity corrected first image and the registration transformed second image, and updating the intensity correction function and the registration transformation function based on the corrected plurality of parameters.
摘要翻译： 一种用于多模式图像配准的方法包括提供从不同成像模态获得的一对图像，其定义强度校正功能，该强度校正功能根据第二图像的强度来校正第一图像的强度，定义登记变换功能， 具有第一图像的图像，其中所述强度校正函数和变换函数是多个参数的函数，通过最小化强度校正的第一图像和注册变换的第二图像的平方差的能量函数来获得对多个参数的校正 并且基于校正的多个参数来更新强度校正功能和登记变换功能。
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公开(公告)号：US20100061612A1
公开(公告)日：2010-03-11
申请号：US12556929
申请日：2009-09-10
IPC分类号： G06K9/00
CPC分类号： G06K9/6206 , G06K2209/05 , G06T3/0081 , G06T2207/10072 , G06T2207/30004
摘要： A method and system for improving the quality of composing image volumes using deformable registration, and a gradual elastic morphing to create a seamless whole body volume image from several component volumes from a 3D medical imager.
摘要翻译： 一种用于使用可变形配准提高组合图像体积的质量的方法和系统，以及逐渐的弹性变形，以从3D医疗成像器的几个组件体积创建无缝全身体积图像。
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56.发明申请Automatic Multi-label Segmentation Of Abdominal Images Using Non-Rigid Registration 审中-公开使用非刚性登记自动多标签分割腹部图像公开(公告)号：US20090220137A1
公开(公告)日：2009-09-03
申请号：US12390763
申请日：2009-02-23
CPC分类号： G06T7/174 , G06T7/11 , G06T2207/20128 , G06T2207/30004
摘要： A method for segmenting an anatomical image, including: receiving a patient anatomical image; receiving a baseline anatomical image having pre-segmented labels, wherein the pre-segmented labels identify regions of interest in the baseline anatomical image; aligning the patient anatomical image with the baseline anatomical image to produce a transformation that when applied to the pre-segmented labels roughly identifies regions of interest in the patient anatomical image that correspond to the regions of interest in the baseline anatomical image; and updating the pre-segmented labels, which have been deformed by application of the transformation, with a new transformation that minimizes the likelihood of intensity distributions within the regions of interest of the patient anatomical image to produce a gradient image that better identifies the regions of interest of the patient anatomical image.
摘要翻译： 一种用于分割解剖图像的方法，包括：接收患者解剖图像; 接收具有预分割标签的基线解剖图像，其中所述预分割标签识别所述基线解剖图像中的感兴趣区域; 将患者解剖图像与基线解剖图像对准以产生当应用于预先分割的标签时粗略地识别患者解剖图像中与基线解剖图像中的感兴趣区域相对应的感兴趣区域的变换; 以及通过使得最小化患者解剖图像的感兴趣区域内的强度分布的可能性的新变换来更新已经通过应用变换而变形的预分割标签，以产生更好地识别患者解剖图像的区域的渐变图像 患者解剖图像的兴趣。
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公开(公告)号：US07561757B2
公开(公告)日：2009-07-14
申请号：US11236161
申请日：2005-09-27
CPC分类号： G06K9/6206 , G06T7/33 , G06T7/35 , G06T2207/30016
摘要： In a method of aligning images, a first image and a second image are sampled to a plurality of joint feature pairs. A minimum entropic graph is computed using the joint feature pairs. Using a distance measure, the total length of the minimum entropic graph is measured to obtain a dissimilarity measure. The dissimilarity measure is minimized for updating the geometric transformation.
摘要翻译： 在对准图像的方法中，将第一图像和第二图像采样到多个关节特征对。 使用关节特征对计算最小熵图。 使用距离测量，测量最小熵图的总长度以获得不相似性度量。 为了更新几何变换，不相似性度量被最小化。
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58.发明申请METHOD AND SYSTEM FOR REGISTRATION OF CONTRAST- ENHANCED IMAGES WITH VOLUME-PRESERVING CONSTRAINT 有权使用体积保留约束注册对比增强图像的方法和系统公开(公告)号：US20090080779A1
公开(公告)日：2009-03-26
申请号：US11945337
申请日：2007-11-27
IPC分类号： G06K9/62
CPC分类号： G06K9/32 , G06K9/6206 , G06T7/30
摘要： A method and system for registering a first image of, for example, a liver and a second image of the liver being contrast-enhanced comprises: deriving a statistical similarity measure between images; deriving a smooth divergence-free vector field derived from a gradient of the statistical similarity measure; and integrating the vector field for providing a fluid-based algorithm including a volume-preserving constraint for a transformation for registering the images.
摘要翻译： 用于登记例如肝脏的第一图像和对比度增强的肝脏的第二图像的方法和系统包括：导出图像之间的统计学相似性度量; 导出从统计相似性度量的梯度导出的平滑无差矢量场; 并且整合矢量场以提供基于流体的算法，其包括用于注册图像的变换的体积保留约束。
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公开(公告)号：US07502502B2
公开(公告)日：2009-03-10
申请号：US11328911
申请日：2006-01-10
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10088 , G06T2207/30016
摘要： A method for segmenting a digitized medical image including providing a digitized image comprising a plurality of intensities corresponding to a domain of points on a n-dimensional grid, modeling the segmentation phases of said image with 2k weighting functions defined as a product of k unknown auxiliary functions, minimizing an energy functional of said weighting functions and said auxiliary functions to derive k gradient flow equations for said auxiliary functions, numerically integrating said gradient flow equations wherein solutions for the k unknown auxiliary functions are obtained, and partitioning said image into segments based on a membership of each image point in each of said weighting functions.
摘要翻译： 一种用于分割数字化医学图像的方法，包括提供包括与n维网格上的点的区域相对应的多个强度的数字化图像，用定义为k未知辅助的乘积的2k个加权函数建模所述图像的分割相位 功能，使所述加权函数和所述辅助函数的能量功能最小化，以导出用于所述辅助函数的k个梯度流方程，对其中获得k个未知辅助函数的解的数值积分所述梯度流方程，并且基于 在每个所述加权函数中的每个图像点的隶属度。
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公开(公告)号：US07440628B2
公开(公告)日：2008-10-21
申请号：US11205569
申请日：2005-08-17
摘要： A method for motion compensation between first and second images in a temporal sequence includes processing the first and second images in a reduction process for providing respective reduced resolution first and second images; deriving respective first and second feature maps from the respective reduced resolution first and second images, the feature maps including deriving the respective Laplacian of image data in the respective reduced resolution first and second images; deriving a displacement field by processing the first and second feature maps in accordance with a registration algorithm, the registration algorithm comprising solving, for each picture element or voxel, a local Gaussian weighted least mean square problem so as to derive respective vectors forming the displacement field; and warping the second image with the displacement field.
摘要翻译： 一种用于在时间序列中的第一和第二图像之间的运动补偿的方法包括在缩小处理中处理第一和第二图像以提供相应的缩小分辨率的第一和第二图像; 从相应的减小分辨率的第一和第二图像中导出相应的第一和第二特征图，所述特征图包括导出相应的缩小分辨率的第一和第二图像中的各个拉普拉斯算子的图像数据; 通过根据注册算法处理第一和第二特征图来导出位移场，该注册算法包括针对每个像素或体元求解局部高斯加权最小均方问题，以便导出形成位移场的各向量 ; 并用位移场来扭曲第二个图像。
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