Abstract:
An fMRI scan is performed using a multi-element head coil and multi-channel receiver to acquire time course image data. One imaging gradient is eliminated from the pulse sequence used to acquire the time course image data enabling images to be acquired at a very high frame rate. The multi-channel NMR data is combined and reconstructed into a series of image frames using a spatial filter calculated using a linear constrained minimum variance (LCMV) beamforming method.
Abstract:
A method for producing an image of a subject with a magnetic resonance imaging (MRI) system is provided. In particular, spatial encoding of signals received from the subject is performed by spatial encoding magnetic fields (SEMs) produced by driving a parallel array of local gradient coils with current weightings that define a mode of the coil array. A set of globally orthogonal modes are determined using a singular value decomposition and two modes that produce SEMs with desired magnetic field variance characteristics are selected for spatial encoding. The spatially encoding signals are received by a parallel array of radio frequency receiver coil elements in order to resolve ambiguities in spatial encoding caused by the SEMs. Images are subsequently reconstructed using, for example, an iterative time domain reconstruction method.
Abstract:
An fMRI scan is performed using a multi-element head coil and multi-channel receiver to acquire time course image data. One imaging gradient is eliminated from the pulse sequence used to acquire the time course image data enabling images to be acquired at a very high frame rate. The multi-channel NMR data is combined and reconstructed into a series of image frames using a spatial filter calculated using a linear constrained minimum variance (LCMV) beamforming method.
Abstract:
A method for suppressing the noise component of a measured magnetic resonance (MR) signal is disclosed. In particular, a signal-space projection operator is produced and employed to suppress the noise component from acquired MR signals that is uncorrelated with the spatial pattern of a desired NMR signal. In one embodiment, an fMRI scan is performed to acquire time course image data. The NMR data is filtered with a signal-space projection operator and reconstructed into a series of image frames. In another embodiment, the signal-space projection operator is employed to suppress lipid signal in MRS image data.
Abstract:
This invention provides a multi-dimensional encoded (MDE) magnetic resonance imaging (MRI) scheme to map a q-dimensional object with p spatial encoding magnetic fields (SEMs) onto a p-dimensional space where p is equal to or larger than q. The provided MDE MRI scheme links imaging schemes using linear and nonlinear gradients. The present invention also provides a system and method of optimizing the spatial bases in MDE MRI. With a higher dimension encoding space in MDE MRI, the image can be reconstructed in a more efficiency and accurate manner.
Abstract:
A method for parallel magnetic resonance imaging (“pMRI”) that does not require the explicit estimation of a coil sensitivity map is provided. Individual coil images are reconstructed from undersampled scan data that is acquired with a radio frequency (RF) coil array having multiple coil channels. An inverse operator is formed from autocalibration scan (ACS) data, and is applied to the acquired scan data in order to produce reconstruction coefficients. Missing k-space lines in the undersampled scan data are synthesized by interpolating k-space lines in the acquired scan data using the reconstruction coefficients. From the acquired scan data and the synthesized missing k-space lines, individual coil images are reconstructed and combined to form an image of the subject.
Abstract:
The invention relates to a method for reconstructing a fully sampled k-space data set. An undersampled GRAPPA scan of a subject is performed in a parallel MRI system using a set of receiver coil elements and corresponding receiver channels to obtain a reduced k-space data set. Autocalibration samples in k-space for each receiver channel are obtained and a GRAPPA reconstruction kernel β is calculated from the reduced k-space data set and autocalibration samples. Missing k-space lines are reconstructed to obtain a reconstructed k-space data set which together with the reduced k-space data set fully samples each channel of k-space. Each line is reconstructed using a regularized GRAPPA reconstruction if prior k-space information is available and using an unregularized GRAPPA reconstruction if no prior k-space information is available. The regularized GRAPPA reconstructions are performed preferably using a Tikhonov regularization framework.
Abstract:
The invention relates to a method of parallel imaging reconstruction in parallel magnetic resonance imaging reconstruction. Magnetic resonance data is acquired in parallel by an array of separate RF receiver coils. A reconstruction method based on Tikhonov regularization is presented to reduce the SNR loss due to geometric correlations in the spatial information from the array coil elements. In order to reduce the noise amplification of the reconstruction so-called “g-factor”, reference scans are utilized as a priori information of the final reconstructed image to provide regularized estimates for the reconstruction using the L-curve technique. According to the invention the method with the proposed L-curve approach was fully automatic and showed a significant reduction in average g-factors in the experimental_images.
Abstract:
This invention provides a multi-dimensional encoded (MDE) magnetic resonance imaging (MRI) scheme to map a q-dimensional object with p spatial encoding magnetic fields (SEMs) onto a p-dimensional space where p is equal to or larger than q. The provided MDE MRI scheme links imaging schemes using linear and nonlinear gradients. The present invention also provides a system and method of optimizing the spatial bases in MDE MRI. With a higher dimension encoding space in MDE MRI, the image can be reconstructed in a more efficiency and accurate manner.
Abstract:
A method for parallel magnetic resonance imaging (“pMRI”) that does not require the explicit estimation of a coil sensitivity map is provided. Individual coil images are reconstructed from undersampled scan data that is acquired with a radio frequency (RF) coil array having multiple coil channels. An inverse operator is formed from autocalibration scan (ACS) data, and is applied to the acquired scan data in order to produce reconstruction coefficients. Missing k-space lines in the undersampled scan data are synthesized by interpolating k-space lines in the acquired scan data using the reconstruction coefficients. From the acquired scan data and the synthesized missing k-space lines, individual coil images are reconstructed and combined to form an image of the subject.