An exemplary system, method, and computer-accessible medium for generating a Cartesian equivalent image(s) of a portion(s) of a patient(s), can include, for example, receiving non-Cartesian sample information based on a magnetic resonance imaging (MRI) procedure of the portion(s) of the patient(s). and automatically generating the Cartesian equivalent image(s) from the non-Cartesian sample information using a deep learning procedure(s). The non-Cartesian sample information can be Fourier domain information. The non-Cartesian sample information can be undersampled non-Cartesian sample information. The MRI procedure can include an ultra-short echo time (UTE) pulse sequence The UTE pulse sequence can include a delay(s) and a spoiling gradient. The Cartesian equivalent image(s) can be generated by reconstructing the Cartesian equivalent image(s). The Cartesian equivalent image(s) can be reconstructed using a sampling density compensation with a tapering of over a particular percentage of a radius of a k-space, where the particular percentage can be about 50%.

Automated setting techniques for MR imaging with ultra-short echo times in a region to be examined are described. With the method protocol parameter values for an MR imaging method are determined. The protocol parameters comprise a predetermined imaging resolution. Optimized values for echo time and bandwidth are also determined based on an image signal simulation, which is based on the determined protocol parameters. The signal to noise ratio and point spread function are used as optimization criteria.

A method of diagnosing a likelihood of onset or progression of Alzheimer's disease and related dementias (ADRD) in a subject is provided. The method requires determining vascularization changes in different regions of the brain on the basis of a quantitative cerebral blood volume (qCBV) map of the subject's brain. The qCBV is obtained from one or more quantitative ultrashort time-to-echo contrast-enhanced (QUTE-CE) MRI images of the brain. A method of treating a subject for ADRD is provided. Diagnostic markers for onset and progression of Alzheimer's disease are also provided.

A low-field magnetic resonance imaging (MRI) system. The system includes a plurality of magnetics components comprising at least one first magnetics component configured to produce a low-field main magnetic field B.sub.0 and at least one second magnetics component configured to acquire magnetic resonance data when operated, and at least one controller configured to operate one or more of the plurality of magnetics components in accordance with at least one low-field zero echo time (LF-ZTE) pulse sequence.

The invention relates to a method of MR imaging of an object positioned in an examination volume of a MR device (1). It is an object of the invention to enable ‘silent’ zero echo time (ZTE) imaging in combination with water/fat separation. In accordance with the invention, a method of MR imaging of an object positioned in the examination volume of a MR device is disclosed. The method of the invention comprises the steps of: subjecting the object to a first self-refocusing zero echo time imaging sequence, wherein a first sequence of gradient echo signals is acquired as a first number N.sub.1 of radial k-space spokes at a first repetition time TR.sub.1, which first number N.sub.1 of radial k-space spokes forms a first closed trajectory in k-space; subjecting the object to a second self-refocusing zero echo time imaging sequence, wherein a second sequence of gradient echo signals is acquired as a second number N.sub.2 of radial k-space spokes at a second repetition time TR.sub.2, which second number N.sub.2 of radial k-space spokes forms a second closed trajectory in k-space, wherein N.sub.2 is not equal to N.sub.1 and/or TR.sub.2is not equal to TR.sub.1; and—reconstructing a MR image from the acquired gradient echo signals. Signal contributions of two or more chemical species (such as, e.g., water and fat) to the gradient echo signals may be separated exploiting the different echo times attributed to the gradient echo signals of the first and second sequences of gradient echo signals respectively. Moreover, the invention relates to a MR device and to a computer program for a MR device.

In one aspect, in accordance with one embodiment, a method includes acquiring magnetic resonance (MR) data corresponding to bone tissue in an area of interest of a subject that is heated from the application of localized energy. The acquiring includes applying a three-dimensional (3D) ultra-short echo time (UTE) spiral acquisition sequence. The method also includes detecting, from the acquired magnetic resonance data, a change in MR response signal due to a change in at least one of relaxation rate and magnetization density caused by heating of the bone tissue; and determining, based at least in part on the change in the MR response signal, that the temperature of the bone tissue has changed.

The MRI apparatus includes a processor configured to apply a gradient echo pulse sequence that makes a sum of gradients applied during one repetition time (TR) in a slice selection direction, a phase encoding direction, and a frequency encoding direction equal zero and maintains spins in an object in a steady state; alternately apply, while the gradient echo pulse sequence is continuously applied, a first radio frequency (RF) pulse having a first flip angle and a second RF pulse having a second flip angle that is different from the first flip angle at each TR interval; and generate an MR image based on an echo signal acquired when the spins are in the steady state.

A new method is developed for ultrafast, high-resolution magnetic resonance spectroscopic imaging (MRSI) using learned spectral features. The method uses Free Induction Decay (FID) based ultrashort-TE and short-TR acquisition without any solvent suppression pulses to generate the desired spatiospectral encodings. The spectral features for the desired molecules are learned from specifically designed “training” data by taking into account the resonance structure of each compound generated by quantum mechanical simulations. A union-of-subspaces model that incorporates the learned spectral features is used to effectively separate the unsuppressed water/lipid signals, the metabolite signals, and the macromolecule signals. The unsuppressed water spectroscopic signals in the data can be used for various purposes, e.g., removing the need of additional auxiliary scans for calibration, and for generating high quality quantitative tissue susceptiability mapping etc. Simultaneous spatiospectral reconstructions of water, lipids, metabolite and macromolecule can be obtained using a single .sup.1H-MRSI scan.

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.

A magnetic resonance imaging apparatus according to an embodiment includes sequence controlling circuitry and processing circuitry. The sequence controlling circuit executes, while a k-space is divided into a plurality of segments, a pulse sequence by which a tag pulse is applied and subsequently acquisition is performed. The processing circuit generates an image based on the pulse sequence executed by the sequence controlling circuit. The pulse sequence is a pulse sequence by which the acquisition is repeatedly performed at the center of the k-space. The sequence controlling circuit executes the pulse sequence, while changing the range to which the tag pulse is applied, for each of the plurality of segments.