公开(公告)号：US11694373B2

公开(公告)日：2023-07-04

申请号：US16603336

申请日：2018-03-14

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA

发明人： Mehmet Akcakaya ,  Steen Moeller

IPC分类号： G06K9/00 ,  G06T11/00 ,  G01R33/48 ,  G01R33/483 ,  G01R33/56 ,  G01R33/561 ,  G06N3/04 ,  G06N3/08

CPC分类号： G06T11/005 ,  G01R33/482 ,  G01R33/4824 ,  G01R33/4835 ,  G01R33/5608 ,  G01R33/5611 ,  G06N3/04 ,  G06N3/08 ,  G06T11/006

摘要： Methods for reconstructing images from undersampled k-space data using a machine learning approach to learn non-linear mapping functions from acquired k-space lines to generate unacquired target points across multiple coils are described.

公开(公告)号：US20230136320A1

公开(公告)日：2023-05-04

申请号：US17947761

申请日：2022-09-19

申请人： Regents of the University of Minnesota ,  Duke University

发明人： Oren Solomon ,  Noam Harel ,  Guillermo Sapiro ,  Edward Auerbach ,  Steen Moeller ,  Remi Patriat ,  Henry Braun ,  Tara Palnitkar

IPC分类号： G01R33/56 ,  A61B5/055

摘要： A system and method are provided for creating magnetic resonance (MR) images with reduced motion artifacts from the MR data from which the images are produced. The method includes selecting a candidate image from a plurality of candidate images reconstructed from the MR data. The method also includes registering the candidate image to a reference image, comparing the candidate image to a consistency map, and, based on comparing the candidate image using the consistency map, selecting a blending algorithm. The method also includes generating a blended image using the blending algorithm and the candidate image and repeating these steps for each candidate image. The method also includes performing a Fourier aggregation to generate a combined image and displaying the combined image with reduced motion artifacts compared to the plurality of candidate images.

公开(公告)号：US20200341103A1

公开(公告)日：2020-10-29

申请号：US16858922

申请日：2020-04-27

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA

发明人： Mehmet Akcakaya ,  Steen Moeller ,  Chi Zhang

IPC分类号： G01R33/565 ,  G01R33/58 ,  G01R33/56 ,  G06T11/00 ,  G06N3/04 ,  G06N3/08

摘要： Images are reconstructed from undersampled k-space data using a residual machine learning algorithm (e.g., a ResNet architecture) to estimate missing k-space lines from acquired k-space data with improved noise resilience. Using a residual machine learning algorithm provides for combining the advantages of both linear and nonlinear k-space reconstructions. The linear residual connection can implement a convolution that estimates most of the energy in k-space, and the multi-layer machine learning algorithm can be implemented with nonlinear activation functions to estimate imperfections, such as noise amplification due to coil geometry, that arise from the linear component.

公开(公告)号：US20200337588A1

公开(公告)日：2020-10-29

申请号：US16858926

申请日：2020-04-27

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA

发明人： Steen Moeller ,  Sudhir Ramanna ,  Mehmet Akcakaya

IPC分类号： A61B5/055 ,  G01R33/46 ,  G01R33/56 ,  G01R33/561 ,  G01R33/36 ,  G01R33/48

摘要： Magnetic resonance imaging (“MRI”) data are corrected from corruptions due to physiological changes using a self-navigated phase correction technique. Unlike motion correction techniques, the effects of physiological changes (e.g., breathing and respiration) are corrected by making the MRI data self-consistent relative to an absolute uncorrupted phase reference. This phase correction information can be extracted from the acquisition itself, thereby eliminating the need for a separate navigator scan, and establishing an accelerated acquisition. This absolute reference can be computed in a data segmented space, and the subsequent data can be corrected relative to this absolute reference with low-resolution phases.

公开(公告)号：US20200333416A1

公开(公告)日：2020-10-22

申请号：US16853308

申请日：2020-04-20

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA

发明人： Steen Moeller ,  Mehmet Akcakaya ,  Seng-Wei Chieh

IPC分类号： G01R33/56 ,  G01R33/561 ,  G01R33/48 ,  G01R33/58 ,  G01R33/565

摘要： A fully sampled calibration data set, which may be Cartesian k-space data, is used to obtain targeted and optimal interpolation kernels for non-regularly sampled data. The calibration data are self-calibration data obtained from a time-averaged image, or re-sampled data. ACS data are resampled for calibration of region-specific kernels. Subsequently, an explicit noise-based regularized solution can be utilized to estimate region-specific kernels for reconstruction.

公开(公告)号：US10768260B2

公开(公告)日：2020-09-08

申请号：US16133550

申请日：2018-09-17

申请人： Regents of the University of Minnesota

发明人： Steen Moeller ,  Mehmet Akcakaya

IPC分类号： G01R33/565 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00 ,  G06T11/00 ,  G01R33/561

摘要： A system and method for controlling noise in magnetic resonance imaging (MRI) are provided. In one aspect, the method includes reconstructing a series of images of the target using the image data, with each image being defined using signal-to-noise (SNR) units, and selecting an image patch corresponding to the series of images. The method also includes forming a matrix by combining vectors generated using the image patch, and applying a local low rank denoising technique using the matrix and the series of images to generate at least one denoised image.

公开(公告)号：US11009576B2

公开(公告)日：2021-05-18

申请号：US15947001

申请日：2018-04-06

申请人： REGENTS OF THE UNIVERSITY OF MINNESOTA

发明人： Steen Moeller ,  Mehmet Akcakaya

IPC分类号： G01V3/00 ,  G01R33/483 ,  G01R33/46 ,  G01R33/561

摘要： Described here are systems and methods for volumetric excitation in magnetic resonance imaging (“MRI”) using frequency modulated radio frequency (“RF”) pulses. In general, quadratic phase modulation along the slice encoding direction is implemented for additional spatiotemporal encoding, which better distributes signal content in the slice direction and enables higher acceleration rates that are robust to slice-undersampling.

公开(公告)号：US10061005B2

公开(公告)日：2018-08-28

申请号：US14696783

申请日：2015-04-27

申请人： Siemens Healthcare GmbH ,  Regents of the University of Minnesota

发明人： Xiufeng Li ,  Steen Moeller ,  Gregory J. Metzger ,  Kamil Ugurbil ,  Dingxin Wang ,  Vibhas S. Deshpande

IPC分类号： G01V3/00 ,  G01R33/561 ,  G01R33/483 ,  G01R33/563

CPC分类号： G01R33/5611 ,  G01R33/4835 ,  G01R33/56366

摘要： A magnetic resonance method and system are provided for providing improved multi-band (MB) magnetic resonance imaging. The adaptive MB imaging can be achieved by providing one or more modified multi-band excitation pulse sequences that include at least either one nullified “dummy” slice within a slab that is not excited simultaneously with the other slices during a single multislice acquisition sequence, or one excitation slice group that utilizes a non-uniform slice spacing between simultaneously excited slices. Adaptive GRAPPA or slice-GRAPPA kernel sizes can also be used during image reconstruction to improve speed without excessive point spread blurring or MB reconstruction failure. A total leakage factor (TLF) can also be determined based on test images using modified MB excitation sequences, and used to improve the adaptive MB procedure.

公开(公告)号：US08933698B2

公开(公告)日：2015-01-13

申请号：US13961042

申请日：2013-08-07

申请人： Regents of the University of Minnesota

发明人： Curtis A. Corum ,  Djaudat S. Idiyatullin ,  Steen Moeller ,  Michael G. Garwood

IPC分类号： G01V3/00 ,  G01R33/54 ,  G01R33/46 ,  G01R33/48 ,  G01R33/565

CPC分类号： G01R33/54 ,  G01R33/4641 ,  G01R33/4816 ,  G01R33/4824 ,  G01R33/565 ,  G01R33/56509

摘要： A magnetic resonance image is produced by shifting a gap during acquisition of spin data for a specimen. The spin data is generated by a gapped excitation sequence.

摘要翻译： 在获取样品的自旋数据期间移动间隙产生磁共振图像。 自旋数据由间隙激励序列产生。

公开(公告)号：US20130320980A1

公开(公告)日：2013-12-05

申请号：US13961042

申请日：2013-08-07

申请人： Regents of the University of Minnesota

发明人： Curtis A. Corum ,  Djaudat S. Idiyatullin ,  Steen Moeller ,  Michael G. Garwood

IPC分类号： G01R33/54

CPC分类号： G01R33/54 ,  G01R33/4641 ,  G01R33/4816 ,  G01R33/4824 ,  G01R33/565 ,  G01R33/56509

摘要： A magnetic resonance image is produced by shifting a gap during acquisition of spin data for a specimen. The spin data is generated by a gapped excitation sequence.

摘要翻译： 在获取样品的自旋数据期间移动间隙产生磁共振图像。 自旋数据由间隙激励序列产生。