公开(公告)号：US20120243756A1

公开(公告)日：2012-09-27

申请号：US13072353

申请日：2011-03-25

Applicant: Alexey A. Samsonov ,  Ashley G. Anderson, III ,  Julia Velikina

Inventor： Alexey A. Samsonov ,  Ashley G. Anderson, III ,  Julia Velikina

IPC: G06K9/00

CPC classification number: G01R33/56509 ,  G01R33/4824 ,  G01R33/56308

Abstract: A method for reconstructing a motion-compensated image depicting a subject with a magnetic resonance imaging (MRI) system is provided. An MRI system is used to acquire a time series of k-space data from the subject by sampling k-space along non-Cartesian trajectories, such as radial, spiral, or other trajectories at a plurality of time frames. Those time frames at which motion occurred are identified and this information used to segment the time series into a plurality of k-space data subsets. For example, the k-space data subsets contain k-space data acquired at temporally adjacent time frames that occur between those identified time frames at which motion occurred. Motion correction parameters are determined from the k-space data subsets. Using the determined motion correction parameters, the k-space data subsets are corrected for motion. The corrected data subsets are combined to form a corrected k-space data set, from which a motion-compensated image is reconstructed.

Abstract translation: 提供了一种利用磁共振成像（MRI）系统重建描绘受试者的运动补偿图像的方法。 MRI系统用于通过沿多个时间帧的非笛卡尔轨迹（例如径向，螺旋或其它轨迹）采样k空间来从对象获取k空间数据的时间序列。 识别发生运动的那些时间帧，并且该信息用于将时间序列分割成多个k空间数据子集。 例如，k空间数据子集包含在时间上相邻的时间帧处获取的k空间数据，其发生在发生运动的那些识别的时间帧之间。 从k空间数据子集确定运动校正参数。 使用确定的运动校正参数，校正k空间数据子集的运动。 校正的数据子集被组合以形成校正的k空间数据集，重建运动补偿图像。

公开(公告)号：US07397242B2

公开(公告)日：2008-07-08

申请号：US11259802

申请日：2005-10-27

Applicant: Alexey A. Samsonov ,  Arjun Arunachalam ,  Walter F. Block

Inventor： Alexey A. Samsonov ,  Arjun Arunachalam ,  Walter F. Block

IPC: G01V3/00

CPC classification number: G01R33/5611

Abstract: A fast and efficient method for reconstructing an image from undersampled, parallel MRI data sets acquired with non-Cartesian trajectories includes the calculation of unsampled k-space data from the acquired k-space data and sets of calculated reconstruction coefficients. To reduce the computation time, only a few reference reconstruction coefficients are calculated using a matrix inversion step and the remaining reconstruction coefficients are produced by interpolating between the reference reconstruction coefficients.

Abstract translation: 用非笛卡尔轨迹采集的欠采样并行MRI数据集重建图像的快速有效的方法包括从所获取的k空间数据和所计算的重建系数集合中计算未采样的k空间数据。 为了减少计算时间，仅使用矩阵求逆步骤计算出几个参考重建系数，并且通过在参考重建系数之间进行内插来产生剩余的重建系数。

公开(公告)号：US08472688B2

公开(公告)日：2013-06-25

申请号：US12104924

申请日：2008-04-17

Applicant: Alexey A. Samsonov ,  Huimin Wu ,  Walter F. Block

Inventor： Alexey A. Samsonov ,  Huimin Wu ,  Walter F. Block

IPC: A61B6/03

CPC classification number: G06T11/006 ,  A61B6/037 ,  G01R33/4818 ,  G01R33/4824 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/5619 ,  G01R33/56308 ,  G06T2211/424

Abstract: An image reconstruction method applicable to a number of different imaging modalities including magnetic resonance imaging (MRI), x-ray computed tomography (CT), positron emission tomography (PET), and single photon emission computed tomography (SPECT) is disclosed. A sparsifying image is reconstructed from a series of acquired undersampled data to provide a priori knowledge of a subject being imaged. An iterative reconstruction process is further employed to iteratively determine a correction image for a given image frame that, when subtracted from the sparsifying image, produces a quality image for the image frame.

Abstract translation: 公开了适用于包括磁共振成像（MRI），X射线计算机断层摄影（CT），正电子发射断层扫描（PET）和单光子发射计算机断层摄影（SPECT）在内的许多不同成像方式的图像重建方法。 从一系列获取的欠采样数据重建稀疏图像，以提供被成像对象的先验知识。 进一步采用迭代重建处理来迭代地确定给定图像帧的校正图像，当从稀疏图像中减去时，该图像帧产生用于图像帧的质量图像。

公开(公告)号：US20090262996A1

公开(公告)日：2009-10-22

申请号：US12104924

申请日：2008-04-17

Applicant: Alexey A. Samsonov ,  Huimin Wu ,  Walter F. Block

Inventor： Alexey A. Samsonov ,  Huimin Wu ,  Walter F. Block

IPC: G06K9/00

CPC classification number: G06T11/006 ,  A61B6/037 ,  G01R33/4818 ,  G01R33/4824 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/5619 ,  G01R33/56308 ,  G06T2211/424

Abstract: An image reconstruction method applicable to a number of different imaging modalities including magnetic resonance imaging (MRI), x-ray computed tomography (CT), positron emission tomography (PET), and single photon emission computed tomography (SPECT) is disclosed. A sparsifying image is reconstructed from a series of acquired undersampled data to provide a priori knowledge of a subject being imaged. An iterative reconstruction process is further employed to iteratively determine a correction image for a given image frame that, when subtracted from the sparsifying image, produces a quality image for the image frame.

Abstract translation: 公开了适用于包括磁共振成像（MRI），X射线计算机断层摄影（CT），正电子发射断层扫描（PET）和单光子发射计算机断层摄影（SPECT）在内的许多不同成像方式的图像重建方法。 从一系列获取的欠采样数据重建稀疏图像，以提供被成像对象的先验知识。 进一步采用迭代重建处理来迭代地确定给定图像帧的校正图像，当从稀疏图像中减去时，该图像帧产生用于图像帧的质量图像。

公开(公告)号：US07309984B2

公开(公告)日：2007-12-18

申请号：US11259804

申请日：2005-10-27

Applicant: Arjun Arunachalam ,  Alexey A. Samsonov ,  Walter Francis Block

Inventor： Arjun Arunachalam ,  Alexey A. Samsonov ,  Walter Francis Block

IPC: G01V3/00

CPC classification number: G01R33/5611

Abstract: A method for reconstructing an image from undersampled, parallel MRI data sets acquired with a pulse sequence that samples k-space along radial trajectories includes the synthesis of training k-space data from the acquired data. The training k-space data is produced by reconstructing training images from the fully sampled, central k-space region of the acquired MRI data sets, and the training k-space data is used in a radial GRAPPA image reconstruction method to produce an image frame.

Abstract translation: 用从采样的平行MRI数据集中重构图像的方法用采用沿着径向轨迹的k空间的脉冲序列获取的方法包括从获取的数据中合成训练k空间数据。 通过从获取的MRI数据集的完全采样的中心k空间区域重建训练图像来产生训练k空间数据，并且在径向GRAPPA图像重建方法中使用训练k空间数据以产生图像帧 。

公开(公告)号：US08306299B2

公开(公告)日：2012-11-06

申请号：US13072353

申请日：2011-03-25

Applicant: Alexey A Samsonov ,  Ashley G Anderson, III ,  Julia Velikina

Inventor： Alexey A Samsonov ,  Ashley G Anderson, III ,  Julia Velikina

IPC: G06K9/00 ,  A61B5/05

CPC classification number: G01R33/56509 ,  G01R33/4824 ,  G01R33/56308

Abstract: A method for reconstructing a motion-compensated image depicting a subject with a magnetic resonance imaging (MRI) system is provided. An MRI system is used to acquire a time series of k-space data from the subject by sampling k-space along non-Cartesian trajectories, such as radial, spiral, or other trajectories at a plurality of time frames. Those time frames at which motion occurred are identified and this information used to segment the time series into a plurality of k-space data subsets. For example, the k-space data subsets contain k-space data acquired at temporally adjacent time frames that occur between those identified time frames at which motion occurred. Motion correction parameters are determined from the k-space data subsets. Using the determined motion correction parameters, the k-space data subsets are corrected for motion. The corrected data subsets are combined to form a corrected k-space data set, from which a motion-compensated image is reconstructed.

Abstract translation: 提供了一种利用磁共振成像（MRI）系统重建描绘受试者的运动补偿图像的方法。 MRI系统用于通过沿多个时间帧的非笛卡尔轨迹（例如径向，螺旋或其它轨迹）采样k空间来从对象获取k空间数据的时间序列。 识别发生运动的那些时间帧，并且该信息用于将时间序列分割成多个k空间数据子集。 例如，k空间数据子集包含在时间上相邻的时间帧处获取的k空间数据，其发生在发生运动的那些识别的时间帧之间。 从k空间数据子集确定运动校正参数。 使用确定的运动校正参数，校正k空间数据子集的运动。 校正的数据子集被组合以形成校正的k空间数据集，重建运动补偿图像。

公开(公告)号：US08148984B2

公开(公告)日：2012-04-03

申请号：US12573508

申请日：2009-10-05

Applicant: Kevin M Johnson ,  Alexey A Samsonov

Inventor： Kevin M Johnson ,  Alexey A Samsonov

IPC: G01V3/00

CPC classification number: G01R33/56308 ,  G01R33/4824 ,  G01R33/4828 ,  G01R33/561 ,  G01R33/56316 ,  G01R33/56563

Abstract: A method for magnitude constrained phase contrast magnetic resonance imaging (MRI) is provided. The method utilizes an assumption that the image magnitude is shared across a series of images reconstructed from a set of phase contrast enhanced k-space data. In this manner, one common magnitude image and a plurality of phase images are reconstructed substantially contemporaneously from the acquired image data. The method is further applicable to other phase contrast MRI methods, such as phase contract velocimetry. Moreover, simultaneous phase contrast velocimetry and chemical shift imaging, in which water and fat signal separation is achieved, is provided.

Abstract translation: 提供了一种用于大小约束相位对比磁共振成像（MRI）的方法。 该方法利用这样的假设：图像幅度在从一组相位增强的k空间数据重建的一系列图像上共享。 以这种方式，从所获取的图像数据基本同时重建一个共同幅度图像和多个相位图像。 该方法进一步适用于其他相位对比MRI方法，如相位测速法。 此外，提供了实现水和脂肪信号分离的同时相位测速和化学位移成像。

公开(公告)号：US20100085052A1

公开(公告)日：2010-04-08

申请号：US12573508

申请日：2009-10-05

Applicant: Kevin M. Johnson ,  Alexey A. Samsonov

Inventor： Kevin M. Johnson ,  Alexey A. Samsonov

IPC: G01R33/48

CPC classification number: G01R33/56308 ,  G01R33/4824 ,  G01R33/4828 ,  G01R33/561 ,  G01R33/56316 ,  G01R33/56563

Abstract: A method for magnitude constrained phase contrast magnetic resonance imaging (MRI) is provided. The method utilizes an assumption that the image magnitude is shared across a series of images reconstructed from a set of phase contrast enhanced k-space data. In this manner, one common magnitude image and a plurality of phase images are reconstructed substantially contemporaneously from the acquired image data. The method is further applicable to other phase contrast MRI methods, such as phase contract velocimetry. Moreover, simultaneous phase contrast velocimetry and chemical shift imaging, in which water and fat signal separation is achieved, is provided.

Abstract translation: 提供了一种用于大小约束相位对比磁共振成像（MRI）的方法。 该方法利用这样的假设：图像幅度在从一组相位增强的k空间数据重建的一系列图像上共享。 以这种方式，从所获取的图像数据基本同时重建一个共同幅度图像和多个相位图像。 该方法进一步适用于其他相位对比MRI方法，如相位测速法。 此外，提供了实现水和脂肪信号分离的同时相位测速和化学位移成像。