G01R33/5619

SYSTEMS AND METHODS FOR MAGNETIC RESONANCE IMAGING

The present disclosure provides a system for MRI. The system may obtain a plurality of sets of k-space data corresponding to a plurality of frames. Each of the plurality of sets of k-space data may be collected, using an MRI scanner in one of the plurality of frames, simultaneously from a plurality of slice locations of a subject with a waiting time after a preparation pulse is applied. The system may generate a plurality of quantitative maps of the plurality of slice locations based on the plurality of sets of k-space data. Phase modulation may be applied to at least one target slice location of the plurality of slice locations in the plurality of frames for slice separation.

Dynamic imaging based on echo planar imaging sequence
11119173 · 2021-09-14 · ·

Methods, devices, systems and apparatus for dynamic imaging based on echo planar imaging (EPI) sequence are provided. In one aspect, a method includes: obtaining first pre-scanned k-space data by performing a pre-scan for a subject based on a first EPI sequence and pre-scanning parameters, obtaining a pre-scanned image and second pre-scanned k-space data according to the first pre-scanned k-space data, performing a dynamic scan for the subject based on a second EPI sequence and dynamic scanning parameters to generate dynamically-scanned k-space data associated with each of a plurality of dynamic periods in the dynamic scan, and for each of the dynamic periods, generating a residual image according to the dynamically-scanned k-space data of the dynamic period and the second pre-scanned k-space data, and adding the pre-scanned image and the residual image to obtain a dynamic image of the dynamic period.

SOLID-STATE MRI AS A NONINVASIVE ALTERNATIVE TO COMPUTED TOMOGRAPHY (CT)

The present disclosure provides systems, apparatuses, and methods for generating images of the human body by solid-state magnetic resonance imaging. An example method can comprise receiving first imaging data at two or more echo times taken with a first radiofrequency configuration, receiving second imaging data at two or more echo times taken with a second radiofrequency configuration. An example method can comprise generating, based on at least the first imaging data and the second imaging data, two or more k-space datasets. An example method can comprise generating, based on at least the two or more k-space datasets, one or more images. The one or more images can comprise different image contrast.

IMAGE RECONSTRUCTION APPARATUS
20210247477 · 2021-08-12 · ·

An image reconstruction apparatus according to an embodiment includes a processing circuitry configured to reconstruct at least one image from a plurality of pieces of k-space data acquired in a time direction. The processing circuitry performs image estimation calculation that reconstructs estimated images sharing the k-space data in the time direction, and adaptation calculation that adapts the estimated images to prior knowledge in the time direction.

IMAGING SYSTEMS AND METHODS
20210259568 · 2021-08-26 · ·

An imaging method may include obtaining imaging data associated with a region of interest (ROI) of an object. The imaging data may correspond to a plurality of time-series images of the ROI. The imaging method may also include determining, based on the imaging data, a data set including a spatial basis and one or more temporal bases. The spatial basis may include spatial information of the imaging data. The one or more temporal bases may include temporal information of the imaging data. The imaging method may also include storing, in a storage medium, the spatial basis and the one or more temporal bases.

Method for varying undersampling dimension for accelerating multiple-acquisition magnetic resonance imaging and device for the same

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.

DIXON MR IMAGING USING A MULTI-GRADIENT-ECHO SEQUENCE
20210096202 · 2021-04-01 ·

The invention relates to a method of MR imaging of an object. It is an object of the invention to provide a multi-gradient echo imaging technique with increased acquisition speed and intrinsic suppression of artefacts from Bo inhomogeneities, T.sub.2* decay, chemical shift, motion, and/or flow, in particular in combination with radial or spiral k-space trajectories. The method of the invention comprises the steps of: —subjecting the object (10) to an imaging sequence comprising RF excitation pulses and switched magnetic field gradients, wherein multiple echo signals are generated at different echo times after each RF excitation pulse, —acquiring the echo signal data along radial or spiral k-space trajectories, wherefore the imaging sequence comprises magnetic field gradient blips in the x-/y- and/or z-directions; —separating signal contributions from water and fat to the echo signals and estimating a B.sub.0 map and/or an apparent transverse relaxation time map (T.sub.2* map) using a Dixon algorithm; and —synthesizing an image of a specified contrast from the echo signal data, the Bo map and/or the T.sub.2* map. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

MR IMAGING USING A STACK-OF-STARS ACQUISITION WITH INTRINSIC MOTION CORRECTION

The invention relates to a method of MR imaging of an object (10). It is an object of the invention to enable MR imaging using the stack-of-stars or stack-of-spirals acquisition scheme providing an enhanced image quality in the presence of motion. The method of the invention comprises the steps of:—generating MR signals by subjecting the object to an imaging sequence comprising RF pulses and switched magnetic field gradients;—acquiring signal data according to a stack-of-stars or stack-of-spirals scheme, wherein the MR signals are acquired as radial or spiral k-space profiles from a number of parallel slices arranged at adjacent positions along a slice direction, wherein a central portion (20) of k-space is more densely sampled during the acquisition than peripheral portions (21) of k-space;—reconstructing an intermediate MR image (22-25) from sub-sampled signal data for each of a number of successive time intervals;—deriving motion induced displacements and/or deformations by registering the intermediate MR images (22-25) with each other; and—combining the sub-sampled signal data and reconstructing a final MR image therefrom, wherein a motion correction is applied according to the derived motion induced displacements and/or deformations. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

Medical image diagnostic apparatus, medical signal restoration method, and model training method

According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry configured to generate initial restored signal data by applying a first restoration function to input signal data corresponding to medical signal data concerning an object, generate first element-wise product signal data by calculating an element-wise product of the initial restored signal data and reliability data representing a degree of degradation included in the input signal data, and generate restored signal data by applying a second restoration function to at least one of the input signal data and the initial restored signal data and the first element-wise product signal data.

METHOD AND SYSTEM FOR IMPROVING MAGNETIC RESONANCE IMAGES

A method and a system automatically perform an image reconstruction of a biological object. The method includes acquiring at different time points t_i signal data for imaging the biological object and clustering a set of data in connection with the acquired signal data. The clustering includes constructing a matrix C, wherein an element C.sub.i,j of the matrix C is the value n_j of one of the data of the dataset acquired at the time point t_i, and then performing a similarity clustering based on the matrix C. At least one of the clusters is selected and determining for each of the time points t_i that are part of the cluster all acquired signal data that have been acquired within a predefined temporal threshold with respect to the considered time point t_i. The image reconstruction of the biological object is performed with the previously determined acquired signal data.