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公开(公告)号：US20110311115A1
公开(公告)日：2011-12-22
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。
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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。
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公开(公告)号：US08577177B2
公开(公告)日：2013-11-05
申请号：US13291370
申请日：2011-11-08
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。
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4.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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公开(公告)号：US20120121200A1
公开(公告)日：2012-05-17
申请号：US13291370
申请日：2011-11-08
IPC分类号： G06K9/36
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。
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6.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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7.发明授权公开(公告)号：US08553964B2
公开(公告)日：2013-10-08
申请号：US13273410
申请日：2011-10-14
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。
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8.发明授权System and method for detecting and correcting registration misalignment of MR perfusion images 有权用于检测和纠正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
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，
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9.发明申请SYSTEM AND METHOD FOR DETECTING AND CORRECTING REGISTRATION MISALIGNMENT OF MR PERFUSION IMAGES 有权用于检测和校正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，
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10.发明申请UNIFYING RECONSTRUCTION AND MOTION ESTIMATION IN FIRST PASS CARDIAC PERFUSION IMAGING 有权第一次心脏灌注成像中的统一重建和运动估计公开(公告)号：US20120148128A1
公开(公告)日：2012-06-14
申请号：US13273410
申请日：2011-10-14
IPC分类号： G06K9/00
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。
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