The disclosure includes a method for generating quantitative magnetic resonance (MR) images of an object under investigation. A first MR data set of the object under investigation is captured in an undersampled raw data space, wherein the object under investigation is captured in a plurality of 2D slices, in which the resolution in a slice plane of the slices is in each case higher than perpendicular to the slice plane, wherein the plurality of 2D slices are in each case shifted relative to one another by a distance which is smaller than the resolution perpendicular to the slice plane. Further MR raw data points of the first MR data set are reconstructed with the assistance of a model using a cost function which is minimized. The cost function takes account of the shift of the plurality of 2D slices perpendicular to the slice plane.

Described herein is an apparatus and method for reducing artifacts in MRI images. The method includes acquiring a first set of data by under-sampling a first portion of a k-space at a first rate, and a second set of data by under-sampling a second portion of the k-space at a second rate. The method generates a first intermediate image and a second intermediate image based on the acquired first set of data and the acquired second set of data, respectively, and constructs a difference image including artifacts based on the generated first intermediate image and second intermediate image. The method includes reconstructing a final image, by selectively combining the first intermediate image with the second intermediate image, wherein the combining is based on identifying, for each artifact included in the difference image, one of the first intermediate image and the second intermediate image as being a source of the artifact.

To reduce instances of patient call back examinations and longer acquisition times in MRI, caused by features noticed at the periphery of a prescribed field of view (FOV) image, an extended field of view (EFOV) image is generated by storing k-space data including oversampling data, in a Picture Archiving and Communication System (PACS) and/or technician workstation. The saved k-space data is repurposed to re-reconstruct the (EFOV) image before any cropping operation on the prescribed FOV. In another application, the extended (EFOV) image is generated by repurposing stored k-space oversampling data, from adjacent or overlapping fields of view (FOV). The disclosed device and method can be used advantageously in a multi-station MRI IT system and/or spinal MRI examinations.

To perform Dixon MRI, generate multi-contrast images, and extract multi-parametric maps, this invention presents a multi-echo gradient echo protocol with two sets of echo trains. An example implementation of the invention at 3 T acquires a short-TE train (TE1.2 ms, TE <10 ms), which is used to map B0 inhomogeneity and proton density fat fraction (FF), and a secondsusceptibility sensitivelong-TE train (16 ms<TE<45 ms) will enable quantification of local frequency shift (LFS) and susceptibility. The presented pipeline automatically generates co-registered images and maps with/without fat-suppressed, including magnitude- and complex-based FF map, B0 map, anatomical images, brain mask, R2* map, unwrapped phase maps for each echo, susceptibility-sensitive images (SWI, LFS and quantitative susceptibility) for each echo, mean susceptibility-sensitive images for each echo-train. The invention is directly applicable to whole head/neck, liver, knee or even whole body scans with sliding table.

The invention relates to a method of parallel MR imaging. The method comprises the steps of: a) subjecting the portion of the body (10) to an imaging sequence of at least one RF pulse and a plurality of switched magnetic field gradients, wherein MR signals are acquired in parallel via a plurality of RF coils (11, 12, 13) having different spatial sensitivity profiles within the examination volume, b) deriving an estimated ghost level map from the acquired MR signals and from spatial sensitivity maps of the RF coils (11, 12, 13), c) reconstructing a MR image from the acquired MR signals, the spatial sensitivity maps, and the estimated ghost level map. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

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.

A control device of a magnetic resonance (MRI) imaging apparatus includes a condition setting unit and a judging unit. The condition setting unit sets an imaging sequence to be performed by the magnetic resonance imaging apparatus based on set conditions of the set imaging sequence. The judging unit then (a) calculates a value of electric current supplied to a gradient magnetic field coil of the MRI apparatus to perform that set imaging sequence based on the set conditions of the set imaging sequence, (b) calculates a value of voltage that would need to be applied to the gradient magnetic field coil based on a mutual inductance of the gradient magnetic field to cause electric current flowing to the gradient magnetic field coil to become equal to the value of the calculated electric current, and (c) judges whether the set imaging sequence is practicable or not based on the calculated value of voltage.

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.

The present disclosure relates to systems and methods for vehicle management. The systems may perform the methods to obtain a plurality of echo signals representing a subject, the plurality of echo signals being formed at a plurality of different echo times; generate a plurality of phase wrapped images based on the plurality of echo signals, each phase wrapped image comprising one or more first wrapped values; generate a phase difference map based on the plurality of phase wrapped images, the phase difference map comprising one or more second wrapped values; generate an unwrapped phase difference map by unwrapping the one or more second wrapped values in the phase difference map; determine a first field distribution map based on the unwrapped phase difference map; and generate a plurality of unwrapped phase images by unwrapping the one or more first wrapped values in each phase wrapped image based on the first field distribution map.

Described herein is an apparatus and method for reducing artifacts in MRI images. The method includes acquiring a first set of data by under-sampling a first portion of a k-space at a first rate, and a second set of data by under-sampling a second portion of the k-space at a second rate. The method generates a first intermediate image and a second intermediate image based on the acquired first set of data and the acquired second set of data, respectively, and constructs a difference image including artifacts based on the generated first intermediate image and second intermediate image. The method includes reconstructing a final image, by selectively combining the first intermediate image with the second intermediate image, wherein the combining is based on identifying, for each artifact included in the difference image, one of the first intermediate image and the second intermediate image as being a source of the artifact.