A computer-implemented method of removing truncation artifacts in magnetic resonance (MR) images is provided. The method includes receiving a crude image that is based on partial k-space data from a partial k-space that is asymmetrically truncated in at least one k-space dimension. The method also includes analyzing the crude image using a neural network model trained with a pair of pristine images and corrupted images. The corrupted images are based on partial k-space data from partial k-spaces truncated in one or more partial sampling patterns. The pristine images are based on full k-space data corresponding to the partial k-space data of the corrupted images, and target output images of the neural network model are the pristine images. The method further includes deriving an improved image of the crude image based on the analysis, wherein the derived improved image includes reduced truncation artifacts and increased high spatial frequency data.

An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.

A method and apparatus for single carrier wideband magnetic resonance imaging (MRI) data acquisition are provided. The method includes the following steps: exciting a slice or slab with the use of RF pulse and a slice/slab selection gradient; applying a phase encoding gradient along a phase encoding direction and reducing a FOV along the phase encoding direction by a factor of W through k-space subsampling; applying a frequency encoding gradient along a frequency encoding direction and increasing a FOV along the frequency encoding direction by a factor of W.sub.f; and applying a separation gradient along the phase encoding direction during the frequency encoding duration and k-space data acquisition.

A magnetic resonance imaging apparatus according to an embodiment includes a processor, and a memory that stores processor-executable instructions. When the instructions are executed by the processor, the instructions cause the processor to give a sample value to at least a part of sampling positions having no sample value in first k-space data so as to create a second k-space data, the first k-space data having a sample value at a part of sampling positions on a k-space. The instructions cause the processor to create a first image from the first k-space data and a second image from the second k-space data. The instructions cause the processor to derive weighting factors for the first image and the second image. The instructions cause the processor to calculate a magnetic resonance image by performing weighted addition using the weighting factors on the first image and the second image.

A system and method for correcting phase shift in echo images are provided. The method may include one or more of the following operations. A plurality of echo images may be obtained. Homogeneous pixels in the plurality of echo images may be identified. A vector corresponding to each of at least some of the identified homogeneous pixels may be determined. A vector of a homogenous pixel includes a phase element and an amplitude element. A first complex linear model of phase shift may be determined based at least in part on the determined vectors. Phase shift of at least one of the plurality of echo images may be corrected based on the first complex linear model.

A method and system for image reconstruction are provided. A k-space including a first part and a second part may be set. The first part of the k-space may be filled with a matrix including data. The matrix may be filtered to produce a filtered data matrix. The second part of the k-space may be padded. Iterations of an objective function for a target array of data in image domain may be performed based on a constraint. The objective function may be based on a total variation of the target array of data and a function relating to the Fourier transform of the target array of data, the filtered data matrix in the first part, and the padded data in the second part of the k-space. An image may be reconstructed based on the target array of data.

Methods and devices for reconstructing magnetic resonance images for contrasts are provided. In an example, the method includes: for each channel for each contrast, collecting k-space data of a subject in the channel by scanning the subject in an undersampling manner, collecting central k-space data by scanning a k-space central region of the subject in k-a fullsampling manner, training a convolution kernel of respective phase encoding lines in the channel based on the central k-space data of the contrasts, and obtaining entire k-space data in the channel based on the convolution kernel of respective phase encoding lines in the channel and collected k-space data in the channels, and obtaining a respective magnetic resonance image for each of the contrasts by performing image reconstruction on the entire k-space data in each channel for the contrast.

A magnetic resonance imaging (MRI) apparatus includes a processor; and a memory connected to the processor and storing an instruction that, when executed by the processor, causes the processor to acquire a first magnetic resonance signal by applying a first pulse sequence to a plurality of slices of an object, acquire a second magnetic resonance signal by applying a second pulse sequence to the plurality of slices, and generate a multi-slice image, based on an average value of the acquired first magnetic resonance signal and the acquired second magnetic resonance signal.

According to one embodiment, a magnetic resonance imaging system includes a magnetic resonance imaging apparatus and a receiving coil unit. The apparatus includes first circuitry which transmits an RF pulse based on a first clock. The coil unit includes clock generating circuitry, a receiving coil and first conversion circuitry. The clock generating circuitry generates a second clock. The first conversion circuitry samples a magnetic resonance signal in accordance with the second clock. The coil unit further includes generation circuitry which generates shift information regarding a difference between the first clock and the second clock, and shift correction circuitry which corrects the sampled magnetic resonance signal by using the shift information.

A system and method for magnetic resonance imaging is provided. The method includes acquiring a plurality of echo signals relating to a region of interest of a subject at a number of echo times; generating a plurality of phase images based on the plurality of echo signals; generating an unwrapped phase map by performing a phase unwrapping correction to the plurality of phase images; generating a virtual phase map based on the unwrapped phase map; determining a phase mask based on the virtual phase map; obtaining magnitude information of the plurality of echo signals; and generating a susceptibility weighted image based on the phase mask and the magnitude information.