公开(公告)号：US20130279786A1

公开(公告)日：2013-10-24

申请号：US13996031

申请日：2011-12-19

申请人： Wei Lin ,  Feng Huang ,  Miha Fuderer

发明人： Wei Lin ,  Feng Huang ,  Miha Fuderer

IPC分类号： G06T11/00

CPC分类号： G06T11/005 ,  G01R33/4824 ,  G01R33/5611

摘要： An imaging method comprises acquiring an undersampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receive coils and reconstructing the under-sampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image. The reconstructing includes: (i) using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the undersampled MR-PPI data-set so as to generate an enhanced dataset; and (ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enhanced dataset or to reconstruct the undersampled MR-PPI dataset using the enhanced dataset as an initialization dataset for an iterative reconstruction algorithm. In some embodiments the MR-PPI dataset is a non-Cartesian dataset and a GRAPPA operator for wider radial bands (GROWL) is used in the operation (i).

摘要翻译： 一种成像方法包括使用多个射频接收线圈获取欠取样的磁共振部分并行成像（MR-PPI）数据集，并重构未被采样的MR-PPI数据集以产生重建的磁共振（MR）图像。 重建包括：（i）使用广义自动校准部分并行采集（GRAPPA）运算符或直接卷积来填充欠采样MR-PPI数据集的至少一些丢失数据，以便生成增强数据集; 和（ii）使用除了GRAPPA算子之外的算法，而不是使用直接卷积来重建增强数据集，或者使用增强型数据集作为迭代重建算法的初始化数据集来重建欠采样MR-PPI数据集。 在一些实施例中，MR-PPI数据集是非笛卡尔数据集，并且在操作（i）中使用用于较宽辐射带的GRAPPA算子（GROWL）。

公开(公告)号：US20130278263A1

公开(公告)日：2013-10-24

申请号：US13995378

申请日：2011-12-16

申请人： Feng Huang ,  Wei Lin

发明人： Feng Huang ,  Wei Lin

IPC分类号： G01R33/565 ,  G01R33/58

CPC分类号： G01R33/56509 ,  G01R33/5611 ,  G01R33/56325 ,  G01R33/5676 ,  G01R33/58

摘要： Magnetic resonance (MR) calibration data are acquired using a plurality of radio frequency receive coils, and both coil sensitivity maps and reference projection vectors are generated based on the MR calibration data. During imaging, extra navigator projection vectors are acquired, or part of the imaging data can be used as navigator projection vectors. Partially parallel imaging (PPI) can performed to enhance the navigation information. The navigator projection vectors and the reference projection vectors are sensitivity weighted using the coil sensitivity maps to generate navigator sensitivity weighted projection vectors (navigator SWPV) and reference sensitivity weighted projection vectors (reference SWPV) respectively, and these are compared to generate subject position information. The subject motions are compensated prospectively or retrospectively using the generated subject position information. The motion compensation may be prospective, performed by adjusting an imaging volume of the PPI based on the subject position information.

摘要翻译： 使用多个射频接收线圈获取磁共振（MR）校准数据，并且基于MR校准数据生成线圈灵敏度图和参考投影矢量。 在成像期间，获取额外的导航器投影向量，或者可以将部分成像数据用作导航器投影矢量。 可以执行部分​​并行成像（PPI）来增强导航信息。 导航仪投影矢量和参考投影矢量使用线圈灵敏度图灵敏度加权，分别产生导航灵敏度加权投影矢量（导航器SWPV）和参考灵敏度加权投影矢量（参考SWPV），并将它们进行比较以产生主体位置信息。 使用生成的被摄体位置信息对被摄体进行前瞻性地或追溯地补偿。 可以通过基于对象位置信息调整PPI的成像体积来进行运动补偿。

公开(公告)号：US20120002859A1

公开(公告)日：2012-01-05

申请号：US13254468

申请日：2010-02-09

申请人： Feng Huang ,  Wei Lin ,  Yu Li

发明人： Feng Huang ,  Wei Lin ,  Yu Li

IPC分类号： G06K9/00

CPC分类号： G01R33/5611 ,  G01R33/56509

摘要： Magnetic resonance (MR) imaging performed in cooperation with an MR scanner (10) uses a method comprising: (i) acquiring sensitivity maps (34) for a plurality of radio frequency coils using a MR pre scan (50) performed by the MR scanner; (ii) acquiring an MR imaging data set (38) using the plurality of radio frequency coils and the MR scanner; and (iii) reconstructing (62, 78) the MR imaging data set using partially parallel image reconstruction employing the sensitivity maps and a correction for subject motion between the acquiring (i) and the acquiring (ii).

摘要翻译： 与MR扫描器（10）协作执行的磁共振（MR）成像使用一种方法，包括：（i）使用由MR扫描器执行的MR预扫描（50）获取多个射频线圈的灵敏度图（34） ; （ii）使用所述多个射频线圈和所述MR扫描器获取MR成像数据集（38）; 以及（iii）使用使用灵敏度图的部分平行图像重建和在获取（i）和获取（ii）之间的主题运动的校正来重建（62,78）MR成像数据集。

公开(公告)号：US10067213B2

公开(公告)日：2018-09-04

申请号：US13995378

申请日：2011-12-16

申请人： Feng Huang ,  Wei Lin

发明人： Feng Huang ,  Wei Lin

IPC分类号： G01V3/00 ,  G01R33/565 ,  G01R33/561 ,  G01R33/567 ,  G01R33/58 ,  G01R33/563

摘要： Magnetic resonance (MR) calibration data are acquired using a plurality of radio frequency receive coils, and both coil sensitivity maps and reference projection vectors are generated based on the MR calibration data. During imaging, extra navigator projection vectors are acquired, or part of the imaging data can be used as navigator projection vectors. Partially parallel imaging (PPI) can performed to enhance the navigation information. The navigator projection vectors and the reference projection vectors are sensitivity weighted using the coil sensitivity maps to generate navigator sensitivity weighted projection vectors (navigator SWPV) and reference sensitivity weighted projection vectors (reference SWPV) respectively, and these are compared to generate subject position information. The subject motions are compensated prospectively or retrospectively using the generated subject position information. The motion compensation may be prospective, performed by adjusting an imaging volume of the PPI based on the subject position information.

公开(公告)号：US20140070804A1

公开(公告)日：2014-03-13

申请号：US14005300

申请日：2012-03-16

申请人： Feng Huang ,  Wei Lin

发明人： Feng Huang ,  Wei Lin

IPC分类号： G01R33/56 ,  G01R33/34

CPC分类号： G01R33/56 ,  G01R33/34 ,  G01R33/5611 ,  G01R33/5612 ,  G01R33/56509

摘要： A plurality of coil elements (18, 18′) and corresponding receivers (26) define a plurality of channels, each carrying a corresponding partial k-space data set (60, 64). One or more processors (30) generate (80) a first image representation (76) based on the plurality of partial k-space data sets, generate a relative sensitivity map (82) for each of the channels, project (90) the first image representation (76) with each of the relative sensitivity maps (82) to generate a plurality of recreated k-space data sets (92), and each partial k-space data and the corresponding recreated k-space data set are combined to generate substituted k-space data sets (96). The substituted k-space data sets are reconstructed (100) into a plurality of images (102) which are combined (104) to create a final image (106).

摘要翻译： 多个线圈元件（18,18'）和相应的接收器（26）限定多个通道，每个通道承载相应的部分k空间数据组（60,64）。 一个或多个处理器（30）基于多个部分k空间数据集生成（80）第一图像表示（76），为每个通道生成相对灵敏度图（82），项目（90）第一 图像表示（76），其中每个相对灵敏度映射（82）生成多个重新创建的k空间数据集（92），并且将每个部分k空间数据和相应的重新创建的k空间数据组合以产生 取代k空间数据集（96）。 替换的k空间数据集被重建（100）成多个图像（102），它们被组合（104）以产生最终图像（106）。

公开(公告)号：US20120002858A1

公开(公告)日：2012-01-05

申请号：US13254467

申请日：2010-02-09

申请人： Feng Huang ,  Wei Lin

发明人： Feng Huang ,  Wei Lin

IPC分类号： G06K9/00

CPC分类号： G01R33/5611 ,  G01R33/56509

摘要： A magnetic resonance (MR) image reconstruction method comprises: compensating an MR imaging data set (36) for rigid subject motion based on comparison of reference k-space data (32) with region k-space data (34) acquired together with the MR imaging data set to generate an MR imaging data set (52) with rigid motion compensation; compensating the MR imaging data set (52) with rigid motion compensation for non-rigid subject motion by convolution with a kernel (82) embodying the at least one consistent correlation of k-space data of the MR imaging data set; and reconstructing the MR imaging data set with the compensation for rigid and non-rigid motion to generate a reconstructed subject image.

摘要翻译： 磁共振（MR）图像重建方法包括：基于参考k空间数据（32）与与MR一起获取的区域k空间数据（34）的比较来补偿用于刚性对象运动的MR成像数据集（36） 成像数据集，以产生具有刚性运动补偿的MR成像数据集（52）; 通过与体现MR成像数据集的k空间数据的至少一个一致相关性的核（82）卷积来对用于非刚性对象运动的刚性运动补偿来补偿MR成像数据集（52）; 以及用刚性和非刚性运动的补偿重构MR成像数据集以产生重建的被摄体图像。

公开(公告)号：US09658304B2

公开(公告)日：2017-05-23

申请号：US13810456

申请日：2011-07-21

申请人： Wei Lin ,  Feng Huang

发明人： Wei Lin ,  Feng Huang

IPC分类号： G01R33/563 ,  G01R33/48 ,  G01R33/56 ,  G01R33/561 ,  G01R33/565

CPC分类号： G01R33/563 ,  G01R33/4818 ,  G01R33/4824 ,  G01R33/5608 ,  G01R33/561 ,  G01R33/5611 ,  G01R33/56509

摘要： A motion-corrected magnetic resonance imaging method comprises: sequentially acquiring a plurality of interleaved magnetic resonance radial acquisition datasets using a magnetic resonance scanner; reconstructing each magnetic resonance radial acquisition dataset into a corresponding image to generate a set of images, the reconstructing including expanding radial k-space lines of the magnetic resonance radial acquisition dataset into corresponding radial bands in k-space using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator; selecting a reference image from the set of images; performing three-dimensional spatial registration of each image of the set of images except the reference image with respect to the reference image to generate a spatially registered set of images; and combining the spatially registered set of images to generate a motion corrected image.

公开(公告)号：US20130338484A1

公开(公告)日：2013-12-19

申请号：US14001941

申请日：2012-02-03

申请人： Feng Huang ,  Max Oskar Köhler ,  Jukka Iimari Tanttu ,  Wei Lin

发明人： Feng Huang ,  Max Oskar Köhler ,  Jukka Iimari Tanttu ,  Wei Lin

IPC分类号： G01R33/56 ,  A61N5/06 ,  A61B18/02 ,  A61N7/02 ,  A61N5/00

CPC分类号： G01R33/56 ,  A61B18/02 ,  A61N5/00 ,  A61N5/0625 ,  A61N7/02 ,  G01R33/4804 ,  G01R33/4814 ,  G01R33/561 ,  G01R33/5611

摘要： A medical apparatus (300, 400, 500, 600) comprising a magnetic resonance imaging system (301). The medical apparatus further comprises a memory (330) containing instructions (350, 352, 354, 456, 458, 460) for execution by a processor (324). Execution of the instructions cause the processor to acquire (102, 202) baseline magnetic resonance data (332) and reconstruct (104, 204) a first image (334) using the baseline magnetic resonance data. Execution of the instructions further cause the processor acquire (106, 212) undersampled magnetic resonance data (336), which is undersampled in k-space in comparison to the baseline magnetic resonance data. Execution of the instructions further cause the processor reconstruct (108, 214) a second image (338) using the undersampled magnetic resonance data and the first image. The second image is reconstructed using an image ratio constrained reconstruction algorithm (354) and to calculate (110, 216) a temperature map (340) using the second image.

摘要翻译： 一种包括磁共振成像系统（301）的医疗设备（300,400,500,600）。 医疗设备还包括一个包含用于由处理器（324）执行的指令（350,352,354,458,458,460）的存储器（330）。 执行指令使得处理器使用基线磁共振数据获取（102,202）基线磁共振数据（332）并重建（104,204）第一图像（334）。 与基线磁共振数据相比，执行指令还使得处理器获取（106,212）欠采样的磁共振数据（336），其在k空间中被欠采样。 执行指令还使得处理器使用欠采样的磁共振数据和第一图像来重建（108,214）第二图像（338）。 使用图像比例约束重构算法（354）重建第二图像，并使用第二图像计算（110,216）温度图（340）。

公开(公告)号：US09390521B2

公开(公告)日：2016-07-12

申请号：US13996031

申请日：2011-12-19

申请人： Wei Lin ,  Feng Huang ,  Miha Fuderer

发明人： Wei Lin ,  Feng Huang ,  Miha Fuderer

IPC分类号： G06K9/00 ,  G06T11/00 ,  G01R33/561 ,  G01R33/48

CPC分类号： G06T11/005 ,  G01R33/4824 ,  G01R33/5611

摘要： An imaging method comprises acquiring an undersampled magnetic resonance partially parallel imaging (MR-PPI) dataset using a plurality of radio frequency receive coils and reconstructing the undersampled MR-PPI dataset to generate a reconstructed magnetic resonance (MR) image. The reconstructing includes: (i) using a generalized auto-calibrating partially parallel acquisition (GRAPPA) operator or direct convolution to fill in at least some missing data of the undersampled MR-PPI dataset so as to generate an enhanced dataset; and (ii) using an algorithm other than a GRAPPA operator and other than direct convolution to reconstruct the enhanced dataset or to reconstruct the undersampled MR-PPI dataset using the enhanced dataset as an initialization dataset for an iterative reconstruction algorithm. In some embodiments the MR-PPI dataset is a non-Cartesian dataset and a GRAPPA operator for wider radial bands (GROWL) is used in the operation (i).

摘要翻译： 一种成像方法包括使用多个射频接收线圈获取欠采样的磁共振部分并行成像（MR-PPI）数据集，并重建欠采样MR-PPI数据集以产生重建磁共振（MR）图像。 重构包括：（i）使用广义自动校准部分并行获取（GRAPPA）算子或直接卷积来填补欠采样的MR-PPI数据集的至少一些丢失数据，以生成增强数据集; 和（ii）使用除了GRAPPA算子之外的算法，而不是使用直接卷积来重建增强数据集，或者使用增强型数据集作为迭代重建算法的初始化数据集来重建欠采样的MR-PPI数据集。 在一些实施例中，MR-PPI数据集是非笛卡尔数据集，并且在操作（i）中使用用于较宽辐射带的GRAPPA算子（GROWL）。

公开(公告)号：US09360544B2

公开(公告)日：2016-06-07

申请号：US14001941

申请日：2012-02-03

申请人： Feng Huang ,  Max Oskar Köhler ,  Jukka Iimari Tanttu ,  Wei Lin

发明人： Feng Huang ,  Max Oskar Köhler ,  Jukka Iimari Tanttu ,  Wei Lin

IPC分类号： A61B5/055 ,  G01R33/56 ,  G01R33/48 ,  A61B18/02 ,  A61N5/00 ,  A61N5/06 ,  A61N7/02 ,  G01R33/561

CPC分类号： G01R33/56 ,  A61B18/02 ,  A61N5/00 ,  A61N5/0625 ,  A61N7/02 ,  G01R33/4804 ,  G01R33/4814 ,  G01R33/561 ,  G01R33/5611

摘要： A medical apparatus (300, 400, 500, 600) includes a magnetic resonance imaging system (301). The medical apparatus further includes a memory (330) containing instructions (350, 352, 354, 456, 458, 460) for execution by a processor (324). Execution of the instructions causes the processor to acquire (102, 202) baseline magnetic resonance data (332) and reconstruct (104, 204) a first image (334) using the baseline magnetic resonance data. Execution of the instructions further causes the processor acquire (106, 212) undersampled magnetic resonance data (336), which is undersampled in k- space in comparison to the baseline magnetic resonance data. Execution of the instructions further causes the processor reconstruct (108, 214) a second image (338) using the undersampled magnetic resonance data and the first image. The second image is reconstructed using an image ratio constrained reconstruction algorithm (354). A temperature map (340) is calculated (110, 216) using the second image.

摘要翻译： 医疗装置（300,400,500,600）包括磁共振成像系统（301）。 医疗设备还包括一个包含用于由处理器（324）执行的指令（350,352,354,456,458,460）的存储器（330）。 执行指令使得处理器使用基线磁共振数据获取（102,202）基线磁共振数据（332）并重建（104,204）第一图像（334）。 执行指令还使得处理器获取与基线磁共振数据相比在k空间中欠采样的欠采样磁共振数据（106,212）。 执行指令还使得处理器使用欠采样的磁共振数据和第一图像来重建（108,214）第二图像（338）。 使用图像比例约束重建算法重构第二图像（354）。 使用第二图像计算温度图（340）（110,216）。