Methods, systems, computer programs, circuits and workstations are configured to generate MRI images using gradient blips for signal acquisition and reconstruction using dynamic field mapping, TE corrections and/or multischeme partial Fourier images.

According to one embodiment, the magnetic resonance imaging apparatus has a processing circuitry. The processing circuitry generates a conductivity map quantitatively indicating the conductivity in the subject using a susceptibility map quantitatively indicating the susceptibility in the subject.

The invention provides for a medical imaging system (100, 400) comprising: a memory (112) for storing machine executable instructions and a processor (106) for controlling the medical imaging system. Execution of the machine executable instructions cause the processor to: receive (200) a preliminary segmentation (124) from a preliminary magnetic resonance image (122) of a region of interest (409), wherein the preliminary segmentation comprises preliminary segmentation edges; reconstruct (202) a first QSM image (124) for the region of interest from QSM magnetic resonance data (122), wherein the reconstruction of the QSM image is at least partially performed using a regularization function, wherein the regularization function is dependent upon the preliminary segmentation edges during reconstruction of the first QSM image; calculate (204) a first segmentation (126) by segmenting the first QSM image using a QSM image segmentation algorithm (134), wherein the first segmentation comprises first segmentation edges; and reconstruct (206) a second QSM image (128) for the region of interest from the QSM magnetic resonance data, wherein the reconstruction of the second QSM image is at least partially performed using the regularization function, wherein the regularization function is dependent upon the first segmentation edges.

Exemplary methods for quantitative mapping of physical properties, systems and computer-accessible medium can be provided to generate images of tissue magnetic susceptibility, transport parameters and oxygen consumption from magnetic resonance imaging data using the Bayesian inference approach, which minimizes a data fidelity term under a constraint of a structure prior knowledge. The data fidelity term is constructed directly from the magnetic resonance imaging data. The structure prior knowledge can be characterized from known anatomic images using image feature extraction operation or artificial neural network. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining physical properties associated with at least one structure.

The present disclosure relates to a susceptibility artifact reducing vacuum bag for reducing local magnetic inhomogeneity inside a magnetic resonance imaging system, the vacuum bag comprising a mixture of diamagnetic composite material made of a diamagnetic material, such as pyrolytic graphite, and a filler material, the fraction of diamagnetic composite material and filler material selected such that the mixture has a net magnetic susceptibility corresponding substantially to the magnetic susceptibility of human tissue, the vacuum bag further comprising a valve for establishing an externally generated vacuum inside the vacuum bag.

Phase variations of the transverse magnetization in magnetic resonance induced by superimposed physical phenomenae or by intrinsic deviations of the main magnetic B0 field are separated from Feature Space set by demodulation and deconvolution, either by electrical circuits or by equivalent computational methods, permitting mapping and measurement of these induced phase variations independent of Feature Space.

A method for improving image homogeneity of image data acquired from balanced Steady-State Free Precision (bSSFP) sequences in magnetic resonance imaging. Multiple bSSFP sequences are performed with different radio frequency phase increments to create multiple bSSFP image volumes with different phase offsets . Each image has voxels whose intensity M is a function of a nuclear resonance signal (or magnetization) measured by the MR imaging apparatus. Per-voxel fitting of a mathematical signal model onto the measured magnetization of the field of view in function of the phase offsets . Then the spin density M.sub.0, the relaxation time ratio and the local phase offset are determined from the fit for each voxel. A homogeneous image of the object is generated by calculating the signal intensity in each voxel, using the spin density M.sub.0 and the relaxation time ratio , wherein is chosen such that =0.

A method using 2D multi-spectral imaging (2DMSI) for MRI imaging of a metallic object (such as a biopsy needle) and region surrounding the metallic object within an imaging field of view of an MRI apparatus includes segmenting the imaging field-of-view into spatial-spectral bins, where the segmenting is based on off-resonance frequency induced by the metallic object and slice location; selectively exciting each frequency bin of the spatial-spectral bins by inverting a slice selection gradient between excitation and refocusing pulses; performing repeated acquisition with different radiofrequency modulations to produce acquired images of adjacent bins; composing a 2DMSI image by root-sum-of-squares combination of the acquired images of adjacent bins; and highlighting in the 2DMSI image an area of furthest off-resonance bins based on 2DMSI off-resonance information by thresholding image intensity in frequency bins, thereby indicating a contour of the metallic object.

A method for creating a magnetic resonance (MR) image with prospective motion correction with a recording of navigation signals and navigator reference signals for the determination of motion information is provided. During the determination of the motion information, the partial volumes of the navigator volume are not all treated equally. Different weightings are used.

In one embodiment a magnetic resonance imaging method is disclosed. The method includes the steps of selecting a first RF pulse, selecting a second RF pulse, selecting one of the first RF pulse and the second RF pulse to be spatially selective, with the other being non-spatially selective, selecting a frequency of the first RF pulse to be the same or different than a frequency of the second RF pulse, applying the first RF pulse to excite a first portion of an object, applying the second RF pulse, forming at least one echo in the first portion of the object, obtaining signal data from the first portion of the object in response to the first RF pulse and the second RF pulse and reconstructing the obtained signal data from the first portion to form an image.