The disclosure relates to a system and method for generating or using a synthesizing filter in image reconstruction. The method may include: acquiring a calibration data set including a plurality of data points, determining a first calibration region in the calibration data set, the first calibration region including a matrix having a plurality of data points, the plurality of data points includes a first data point at the center of the first calibration region, constructing a first relationship between the first data point and the data points in the first calibration region, and generating a synthesizing filter based on the first relationship. The first data point is at the center of the first calibration region. The method may be implemented on at least one machine each of which has at least one processor and storage. The generated synthesizing filter may be stored in the storage in electronic form as a data file. The synthesizing filter may be adapted for determining an unknown data point in an undersampled k-space data set based on a signal acquired by the receiver coil.

A synergized pulsing-imaging network is described. A method of optimizing a magnetic resonance imaging (MRI) system includes optimizing, by a synergized pulsing-imaging network (SPIN) circuitry a pulse sequence based, at least in part, on a loss function associated with a reconstruction network. The method further includes optimizing, by the SPIN circuitry, the reconstruction network based, at least in part, on intermediate raw MRI data and based, at least in part, on a ground truth MRI image data. The intermediate raw MRI data is determined based, at least in part on the pulse sequence.

Provided is an MRI image generation method including: acquiring first phase encoding lines obtained by undersampling along a first direction using an MRI device; acquiring second phase encoding lines obtained by undersampling in a second direction different from the first direction using the MRI device; generating a first MRI image based on the first phase encoding lines and the second phase encoding lines; and generating a second MRI image different from the first MRI image based on the first phase encoding lines and the second phase encoding lines.

In a system and method for performing MR image reconstruction based on acquired MR measurement data of an organ structure of a patient, the MR measurement data of the organ structure is received, a-priori information about the organ structure from which the MR measurement data have been acquired is received, MR image reconstruction is performed based on the MR measurement data and taking into account the a-priori information, and the reconstructed MR image data is provided.

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 analyzing blood flow in a subject's brain is provided. In some aspects, the method includes analyzing fMRI data to identify signals related to blood flow, and selecting a zero time lag seed regressor using the identified signals. The method also includes correlating the selected seed regressor to identify a subset of the fMRI data that correlates with the seed regressor and is offset in time, combining the subset of the data to determine a time-delayed regressor, and performing repetitions to obtain a number of time-delayed regressors, where for each repetition, the seed regressor is adjusted using a previous time-delayed regressor. The method further includes analyzing the data using the time-delayed regressors to determine blood delivery from vessels across the brain, and generating a report. In some aspects, a second recursive procedure may be performed using an optimized seed regressor obtained from a first recursive procedure.

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.

Techniques are disclosed for acquiring at least two measurement datasets, each consisting of measurement data. The two measurement datasets are recorded at points in time at which spins of a first spin species present in the examination object have different phase positions from spins of a second spin species present in the examination object. Moreover, the two measurement datasets are recorded in each case while switching readout gradients of different polarity, and thus the desired measurement datasets may be recorded faster than conventional approaches.

In a magnetic resonance readout-segmented diffusion-weighted imaging method, apparatus, and storage medium, a non-linear phase RF excitation pulse is applied to nuclear spins that exhibit a magnetization intensity vector, and applying, in a slice selection direction, a slice selection gradient pulse of duration corresponding to the non-linear phase RF excitation pulse, so as to flip the magnetization intensity vector into the X-Y plane. Diffusion weighting is performed on the magnetization intensity vector flipped into the X-Y plane. A readout-segmented sampling sequence is executed to read out raw data in a segmented manner from the magnetization intensity vector resulting from diffusion weighting. A view angle tilting gradient pulse is applied in the slice selection direction.

A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition scheme for imaging a subject using a medical imaging apparatus; acquiring a medical image of the subject according to the accelerated image acquisition scheme using the medical imaging apparatus; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject, for analysis by a physician.