The invention relates to a method of MR imaging of an object (10) placed in an examination volume of a MR device (1). The method comprises the steps of: —generating MR signals by subjecting the object to an imaging sequence, —acquiring MR signal profiles in a Cartesian k-space sampling scheme, wherein each MR signal profile is acquired in the presence of a temporally constant magnetic field gradient along a readout direction and a sinusoidally modulated magnetic field gradient along a phase encoding direction, and —reconstructing an MR image from the acquired MR signal profiles taking the modulation scheme of the magnetic field gradients into account. The invention proposes that the frequency of the sinusoidal modulation of the magnetic field gradient is varied during acquisition of each MR signal profile. Moreover, the invention relates to a MR device for carrying out this method as well as to a computer program to be run on a MR device.

In a method and apparatus for recording a magnetic resonance (MR) data record using multiple reception coils, the data of the MR data record contain measurement signals of at least two image data records respectively from at least two slices. The MR data record is acquired in a sequence having an excitation phase, an evolution phase, readout of a first echo signal while a first read gradient is being applied, application of at least one shift gradient in a slice-selection direction, and readout of at least one further echo signal while a further read gradient is applied. The shift gradient is positioned so as to cause a shift of at least one further image data record generated from the further echo signal or signals relative to the first image data record generated from first echo signals.

The invention relates to a method of Dixon-type MR imaging. It is an object of the invention to provide a method that enables efficient and reliable water/fat separation. The method of the invention comprises the following steps: subjecting an object (10) to an imaging sequence, which comprises at least one excitation RF pulse and switched magnetic field gradients, wherein two echo signals, a first echo signal and a second echo signal, are generated at different echo times (TE1, TE2), acquiring the echo signals from the object (10), reconstructing a water image and/or a fat image from the echo signals, wherein contributions from water and fat to the echo signals are separated using a two-point Dixon technique in a first region of k-space and a single-point Dixon technique in a second region of k-space, wherein the first region is different from the second region. In other words, the invention proposes an adaptive switching between a two-point Dixon technique for water/separation, applied to both the first and second echo signals, and a single-point Dixon technique applied to one of the two echo signals, i.e. the first echo signal data or the second echo signal data, depending on the position in k-space. Moreover, the invention relates to a MR device (1) and to a computer program to be run on a MR device (1).

Techniques are disclosed for creating measurement data of an examination object by means of magnetic resonance technology in a plurality of repetitions according to a pulse sequence pattern, existing information about gradients that have already been switched is considered to determine compensation gradients that are possibly to be switched in a following repetition for compensating eddy current effects. Such dynamic determination and switching of compensation gradients make it possible to dynamically compensate eddy currents. Consequently, the image quality of image data reconstructed from measurement data acquired using inventive compensation gradients is increased.

A computer-implemented method for using machine learning to suppress fat in acquired MR images includes receiving multi-echo images from an anatomical area of interest acquired using an MRI system. A first subset of the multi-echo images is acquired prior to application of contrast to the anatomical area of interest and a second subset of the multi-echo images is acquired after application of contrast to the anatomical area of interest. Next, data is generated including water images, fat images, and effective R*.sub.2 maps from the multi-echo images. The water images, the fat images, and the effective R*.sub.2 maps are used to create synthetic fat suppressed images. A neural network is trained to use the multi-echo images as input and the synthetic fat suppressed images as ground truth. A plurality of components of the neural network are saved to allow later deployment of the neural network on a computing system.

The present invention relates to a magnetic resonance eye imaging method, wherein an eye image is obtained from magnetic resonance image data acquired while the eye is moving, comprising determining eye orientation information data during magnetic resonance image data acquisition; binning the acquired magnetic resonance image data into groups according to eye orientation information data; and constructing a magnetic resonance image eye image from a selection of groups of magnetic resonance image data.

A method and apparatus for susceptibility-weighted imaging, and a magnetic resonance imaging system. The method includes, in planar echo imaging of a plurality of excitations, performing flow compensation in directions of layered encoding, phase encoding, and frequency encoding for echoes of each excitation; after determination of excitation each time, when a linear reordering mode is adopted, for excitation each time, collecting each echo towards space k in a positive direction or a negative direction from the central echo of the plurality of echoes, and collecting echoes of the current excitation in a direction opposite to a direction of collecting echoes of the previous excitation; and subjecting the collected echoes to susceptibility-weighted imaging. An aspect of the present disclosure allows a reduction of flow artifacts in an image created by susceptibility-weighted imaging based on a planar echo sequence.

A magnetic resonance imaging apparatus according to an embodiment includes a processing circuitry. Regarding the k-space data obtained as a result of performing multi-shot imaging that includes a plurality of shots, the processing circuitry obtains a correction coefficient, based on first-type magnetic resonance images generated using the k-space data, the correction coefficient correcting phase shifting occurring in read out direction among the plurality of shots. Then, the processing circuitry corrects the k-space data based on the correction coefficients. Moreover, the processing circuitry generates a second-type magnetic resonance image using the corrected k-space data.

A magnetic resonance imaging apparatus according to an embodiment includes a processing circuitry. Regarding the k-space data obtained as a result of performing multi-shot imaging that includes a plurality of shots, the processing circuitry obtains a correction coefficient, based on first-type magnetic resonance images generated using the k-space data, the correction coefficient correcting phase shifting occurring in read out direction among the plurality of shots. Then, the processing circuitry corrects the k-space data based on the correction coefficients. Moreover, the processing circuitry generates a second-type magnetic resonance image using the corrected k-space data.

A method for generating fair and effective random numbers for smart contracts, which effectively mitigates certain problems associated with conventional methods while achieving verifiable and non-tamperable random number generation is disclosed. The concept behind the disclosed method treats miners as being not trustworthy, and presumes that the number of miners in the blockchain is limited. With sufficient motivation, miners can reach a consensus to manipulate the block. The goal is thus to create a verifiable fair Random Number Generator. Under this condition, as long as at least one of the parties to the smart contract is credible and does not misuse the confidential information, a trusted blockchain random number can be generated. After the last disclosure of the random number, the verification signature submitted by parties to the contract can be used to confirm that the random number calculation process is credible.