公开(公告)号：US09336611B2

公开(公告)日：2016-05-10

申请号：US13822102

申请日：2011-09-13

申请人： Berkin Bilgic ,  Elfar Adalsteinsson

发明人： Berkin Bilgic ,  Elfar Adalsteinsson

IPC分类号： G06T7/00 ,  G06T11/00 ,  A61B5/055 ,  A61B5/00 ,  G01R33/561 ,  G01R33/48 ,  G01R33/56 ,  G01R33/563

CPC分类号： G06T11/003 ,  A61B5/055 ,  A61B5/7264 ,  G01R33/4806 ,  G01R33/5602 ,  G01R33/5608 ,  G01R33/561 ,  G01R33/56308 ,  G01R33/56341 ,  G01R33/5635

摘要： A method for reconstructing multiple images of a subject depicting multiple different contrast characteristics from medical image data acquired with a medical imaging system is provided. Multiple image data sets are acquired with one or more medical imaging systems and the image data sets used to estimate hyperparameters drawn from a prior distribution, such as a prior distribution of image gradient coefficients. These hyperparameters and the acquired image data sets are utilized to produce a posterior distribution, such as a posterior distribution of image gradients. From this posterior distribution, multiple images with the different contrast characteristics are reconstructed. The medical imaging system may be a magnetic resonance imaging system, an x-ray computed tomography imaging system, an ultrasound system, and so on.

摘要翻译： 提供了一种用于重建从医学成像系统获取的医学图像数据描绘多个不同对比度特征的被摄体的多个图像的方法。 使用一个或多个医学成像系统和用于估计从先前分布绘制的超参数的图像数据集（诸如图像梯度系数的先前分布）获取多个图像数据集。 这些超参数和所获取的图像数据集被用于产生后验分布，例如图像梯度的后验分布。 从这种后验分布，重建具有不同对比度特征的多个图像。 医学成像系统可以是磁共振成像系统，X射线计算机断层成像系统，超声系统等。

公开(公告)号：US10126397B2

公开(公告)日：2018-11-13

申请号：US14707598

申请日：2015-05-08

申请人： Stephen Cauley ,  Berkin Bilgic ,  Kawin Setsompop ,  Lawrence Wald

发明人： Stephen Cauley ,  Berkin Bilgic ,  Kawin Setsompop ,  Lawrence Wald

IPC分类号： G01R33/56 ,  G01R33/561 ,  G01R33/385 ,  G01R33/567

摘要： Systems and methods for reconstructing images using a hierarchically semiseparable (“HSS”) solver to compactly represent the inverse encoding matrix used in the reconstruction are provided. The reconstruction method includes solving for the actual inverse of the encoding matrix using a direct (i.e., non-iterative) HSS solver. This approach is contrary to conventional reconstruction methods that repetitively evaluate forward models (e.g., compressed sensing or parallel imaging forward models).

公开(公告)号：US20150310639A1

公开(公告)日：2015-10-29

申请号：US14693525

申请日：2015-04-22

申请人： Berkin Bilgic ,  Kawin Setsompop

发明人： Berkin Bilgic ,  Kawin Setsompop

IPC分类号： G06T11/00

CPC分类号： G06T11/206 ,  A61B5/055 ,  A61B5/4082 ,  A61B5/4088 ,  A61B5/4848 ,  G01R33/243 ,  G01R33/443 ,  G01R33/5602 ,  G01R33/56536

摘要： Described here are systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”). Susceptibility maps are reconstructed from phase images using an automatic regularization technique based in part on variable splitting. Two different regularization parameters are used, one, λ, that controls the smoothness of the final susceptibility map and one, μ, that controls the convergence speed of the reconstruction. For instance, the regularization parameters can be determined using an L-curve heuristic to find the parameters that yield the maximum curvature on the L-curve. The μ parameter can be determined based on an l2-regularization and the λ parameter can be determined based on the iterative l1-regularization used to reconstruct the susceptibility map.

摘要翻译： 这里描述了使用磁共振成像（“MRI”）的定量磁敏度测绘（“QSM”）的系统和方法。 使用基于可变分割的自动正则化技术从相位图像重建敏感性图。 使用两种不同的正则化参数，一种是控制最终磁化率平滑度的λ，另一种是控制重建收敛速度的μ。 例如，可以使用L曲线启发式来确定正则化参数，以找到在L曲线上产生最大曲率的参数。 μ参数可以基于l2-正则化来确定，并且可以基于用于重构磁敏度图的迭代l1正则化来确定λ参数。

公开(公告)号：US20150323633A1

公开(公告)日：2015-11-12

申请号：US14707598

申请日：2015-05-08

申请人： Stephen Cauley ,  Berkin Bilgic ,  Kawin Setsompop ,  Lawrence Wald

发明人： Stephen Cauley ,  Berkin Bilgic ,  Kawin Setsompop ,  Lawrence Wald

IPC分类号： G01R33/561 ,  G01R33/567 ,  G01R33/385

CPC分类号： G01R33/5608 ,  G01R33/385 ,  G01R33/5611 ,  G01R33/5615 ,  G01R33/5673

摘要： Systems and methods for reconstructing images using a hierarchically semiseparable (“HSS”) solver to compactly represent the inverse encoding matrix used in the reconstruction are provided. The reconstruction method includes solving for the actual inverse of the encoding matrix using a direct (i.e., non-iterative) HSS solver. This approach is contrary to conventional reconstruction methods that repetitively evaluate forward models (e.g., compressed sensing or parallel imaging forward models).

摘要翻译： 提供了使用分层半分离（“HSS”）求解器重建图像的系统和方法，以紧凑地表示重构中使用的逆编码矩阵。 重建方法包括使用直接（即非迭代）HSS求解器求解编码矩阵的实际逆。 这种方法与重复地评估前向模型（例如，压缩感测或平行成像正向模型）的常规重建方法相反。

公开(公告)号：US20130188854A1

公开(公告)日：2013-07-25

申请号：US13822102

申请日：2011-09-13

申请人： Berkin Bilgic ,  Elfar Adalsteinsson

发明人： Berkin Bilgic ,  Elfar Adalsteinsson

IPC分类号： G06T11/00

CPC分类号： G06T11/003 ,  A61B5/055 ,  A61B5/7264 ,  G01R33/4806 ,  G01R33/5602 ,  G01R33/5608 ,  G01R33/561 ,  G01R33/56308 ,  G01R33/56341 ,  G01R33/5635

摘要： A method for reconstructing multiple images of a subject depicting multiple different contrast characteristics from medical image data acquired with a medical imaging system is provided. Multiple image data sets are acquired with one or more medical imaging systems and the image data sets used to estimate hyperparameters drawn from a prior distribution, such as a prior distribution of image gradient coefficients. These hyperparameters and the acquired image data sets are utilized to produce a posterior distribution, such as a posterior distribution of image gradients. From this posterior distribution, multiple images with the different contrast characteristics are reconstructed. The medical imaging system may be a magnetic resonance imaging system, an x-ray computed tomography imaging system, an ultrasound system, and so on.

摘要翻译： 提供了一种用于重建从医学成像系统获取的医学图像数据描绘多个不同对比度特征的被摄体的多个图像的方法。 使用一个或多个医学成像系统和用于估计从先前分布绘制的超参数的图像数据集（诸如图像梯度系数的先前分布）获取多个图像数据集。 这些超参数和所获取的图像数据集被用于产生后验分布，例如图像梯度的后验分布。 从这种后验分布，重建具有不同对比度特征的多个图像。 医学成像系统可以是磁共振成像系统，X射线计算机断层成像系统，超声系统等。

公开(公告)号：US09542763B2

公开(公告)日：2017-01-10

申请号：US14693525

申请日：2015-04-22

申请人： Berkin Bilgic ,  Kawin Setsompop

发明人： Berkin Bilgic ,  Kawin Setsompop

IPC分类号： G06K9/00 ,  G06T11/20 ,  A61B5/00 ,  G01R33/24 ,  A61B5/055 ,  G01R33/44 ,  G01R33/56 ,  G01R33/565

CPC分类号： G06T11/206 ,  A61B5/055 ,  A61B5/4082 ,  A61B5/4088 ,  A61B5/4848 ,  G01R33/243 ,  G01R33/443 ,  G01R33/5602 ,  G01R33/56536

摘要： Described here are systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”). Susceptibility maps are reconstructed from phase images using an automatic regularization technique based in part on variable splitting. Two different regularization parameters are used, one, λ, that controls the smoothness of the final susceptibility map and one, μ, that controls the convergence speed of the reconstruction. For instance, the regularization parameters can be determined using an L-curve heuristic to find the parameters that yield the maximum curvature on the L-curve. The μ parameter can be determined based on an l2-regularization and the λ parameter can be determined based on the iterative l1-regularization used to reconstruct the susceptibility map.

摘要翻译： 这里描述了使用磁共振成像（“MRI”）的定量磁敏度测绘（“QSM”）的系统和方法。 使用基于可变分割的自动正则化技术从相位图像重建敏感性图。 使用两种不同的正则化参数，一种是控制最终磁化率平滑度的λ，另一种是控制重建收敛速度的μ。 例如，可以使用L曲线启发式来确定正则化参数，以找到在L曲线上产生最大曲率的参数。 μ参数可以基于l2-正则化来确定，并且可以基于用于重构磁敏度图的迭代l1正则化来确定λ参数。