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 an imaging inversion operator.
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:
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:
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 an imaging inversion operator.
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.