A magnetic resonance imaging method executed in a magnetic resonance imaging apparatus according to an embodiment comprises: applying an inversion pulse; executing a subsequent imaging sequence including an RF (Radio Frequency) pulse and a gradient magnetic field concurrently applied with the RF pulse in a slice direction and performing, for a slice position selected by the RF pulse and the gradient magnetic field and during a time period including a null point, data acquisition in a plurality of orientations including a center of a two-dimensional k-space.

Embodiments relate to a magnetic resonance imaging (MRI) technique in which the two-dimensional (2D) Displacement Encoding with Stimulated Echoes (DENSE) imaging technique and the multiband technique are combined to provide a 2D multi-slice quantitative assessment of displacement, deformation, and mechanics indices of tissue. The scan time is equivalent to the short scan time of the conventional single slice 2D imaging while providing spatial volumetric coverage similar to three-dimensional (3D) imaging. The techniques are combined in both the sequence (i.e., data acquisition) and reconstruction sides. Quantification of tissue displacement and motion is achieved through the combination and further evaluation of tissue mechanical properties is provided by calculating different indices based on the displacement and motion values.

The invention relates to a method of MR imaging of an object (10) placed in an examination volume of a MR device (1). It is an object of the invention to enable distortion-free high-quality diffusion weighted imaging (DWI) with minimization of artefacts caused by motion. The method of the invention comprises the following steps: —subjecting the object (10) to a dual echo steady state imaging sequence, a free induction decay signal (FID) and an echo signal (ECHO) being generated in each interval between two successive RF pulses, wherein a pair of diffusion gradient waveforms (GDIF) of equal phase integral and opposed polarity is applied in the interval between the FID signal and the echo signal; —acquiring the FID signals and the echo signals in a number of repetitions of the imaging sequence with varying phase encoding; and —reconstructing a diffusion weighted MR image from the acquired FID signals and echo signals. 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.

Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.

A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems.

The present invention relates generally to medical imaging and, more particularly, relates to systems and methods for obtaining magnetic resonance (MR) images of tissues and organs (particularly of the heart) or parts thereof.

A tissue type fraction within a biological object is determined by a phase-cycled acquisition of several images of the object and deriving a complex signal profile for each voxel of the acquired images; generating a multidimensional dictionary of simulated signal profiles, wherein each simulated signal profile is configured for simulating the previously derived complex signal profile; using a weight optimization algorithm configured for expressing the complex signal profile as a weighted sum of the simulated signal profiles, wherein the weight optimization algorithm provides as output for each voxel a matrix M of optimized weights; for each voxel and each dimension of the obtained matrix M, extracting from the matrix M a distribution of the obtained optimized weights; and determining a type of tissue composing each voxel from the obtained distributions.

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.

Methods and systems generate synthetic late gadolinium enhancement (LGE) magnetic resonance images using a magnetic resonance fingerprinting (MRF) acquisition. From a single acquisition, MRF image data is obtained, including co-registered T.sub.1 and T.sub.2 tissue property maps. Different tissue regions of interest are identified, such as viable myocardium, scar, and blood and T.sub.1 and T.sub.2 values for each are determined. Based on these, different sets of pulse sequence parameters are determined, e.g., using different synthetic image contrast models receiving the MRF image data. Synthetic LGE images at different contrasts are generated as a result, including a synthetic bright-blood LGE image, a synthetic dark-blood/gray-blood LGE image, and a synthetic optimized imaged.