G01R33/24

System and method of robust quantitative susceptibility mapping

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

System and method of robust quantitative susceptibility mapping

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

UPPER COIL ASSEMBLY OF AN RF PROBE FOR USE IN AN MRI SYSTEM

An upper coil assembly for use with a lower RF coil assembly mounted to provide an RF probe arranged to be engaged with a head of a patient in MRI includes a plurality of coil loops arranged in a row defining a phase shift coil array with each coil loop including an independent output conductor for communicating signals to a respective preamplifier for independent amplification and each coil loop including a plurality of capacitors at spaced positions therearound. To decouple the loops each coil loop partly overlaps a next coil loop with a first decoupling capacitor shared on a common portion of each coil loop and each next coil loop. The first and third coil loops are also decoupled by using third decoupling capacitor in a connecting conductor between the first and third coil loops.

Method for measuring the gradient field of a nuclear magnetic resonance (NMR) system based on the diffusion effect

A method for measuring a gradient field of a nuclear magnetic resonance (NMR) system based on a diffusion effect uses a non-uniform field magnet, an NMR spectrometer, a radio frequency (RF) power amplifier, an RF coil, and a standard quantitative phantom with known apparent diffusion coefficient (ADC) and time constant for decay of transverse magnetization after RF-pulse (T2). A plurality of sets of signals are acquired by an NMR sequence with different diffusion-sensitive gradient durations or different echo spacings and the magnitude of the gradient field is calculated by fitting based on the plurality of sets of signals. The method does not require an additional dedicated magnetic field detection device, has a short measurement time, is easy to use with the NMR system, and is convenient to complete gradient field measurement at the installation site, thereby improving the installation and service efficiency of the NMR system.

Optically-pumped magnetometer (OPM) with an OPM connector that mitigates electrostatic discharge (ESD) and stores OPM operational data

An Optically Pumped Magnetometer (OPM) system is configured to characterize a magnetic field. The OPM system comprises an OPM sensor that is coupled to an OPM cable that is coupled to an OPM connector that is detachably coupled to an OPM controller. The OPM connector stores OPM operational data. The OPM controller reads the OPM operational data when the OPM connector is coupled to an OPM controller. The OPM controller generates sensor control signals based on the OPM operational data and transfers the control signals to the OPM sensor. The OPM sensors characterize the magnetic field in response to the sensor control signals and transfer output signals that characterize the magnetic field to the OPM controller. The OPM controller models the magnetic field based on the output signals and transfers new OPM operational data to OPM connector. The OPM connector stores the new OPM operational data in the memory.

Single-sided 3D magnet and magnetic resonance imaging (MRI) system

A magnet assembly for a portable magnetic resonance imaging (MRI) system includes a former having a plurality of slots and a plurality of magnet blocks configured to create a single-sided permanent magnet. Each of the plurality of magnet blocks are positioned in one of the plurality of slots of the former. The arrangement of the plurality of magnet blocks is configured to optimize homogeneity over a target field of view for brain imaging and to form a cap-shaped configuration to be positioned on a head of a subject.

SYSTEM AND METHOD OF ROBUST QUANTITATIVE SUSCEPTIBILITY MAPPING

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

SYSTEM AND METHOD OF ROBUST QUANTITATIVE SUSCEPTIBILITY MAPPING

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining magnetic susceptibility information associated with at least one structure.

MR IMAGING WITH T1 COMPENSATED B1 MAPPING
20230145981 · 2023-05-11 ·

The invention relates to a method of MR imaging. It is an object of the invention to provide an improved B.sub.1 mapping method that is less affected by T.sub.1 relaxation. The invention proposes that a first stimulated echo imaging sequence (25) is generated comprising at least two preparation RF pulses (α) radiated during a first preparation period (21) and a sequence of reading RF pulses (β) radiated during a first acquisition period (22) temporally subsequent to the first preparation period (21). A first set of FID signals (I.sub.FID) and a first set of stimulated echo signals (I.sub.STE) are acquired during the first acquisition period (22). A second stimulated echo imaging sequence (27) is generated comprising again at least two preparation RF pulses (α) radiated during a second preparation period (21) and a sequence of reading RF pulses (β) radiated during a second acquisition period (22) temporally subsequent to the second preparation period (21). A second set of FID signals (I.sub.FID) and a second set of stimulated echo signals (I.sub.STE) are acquired during the second acquisition period (22). The first and second sets of FID signals (IFID) have different T.sub.1-weightings and/or the first and second sets of stimulated echo signals (I.sub.STE) have different T.sub.1-weightings. A B.sub.1 map indicating the spatial distribution of the RF field of the RF pulses is derived from the acquired first and second sets of FID (I.sub.FID) and stimulated echo (I.sub.STE) signals, wherein the different T.sub.1-weightings are made use of to compensate for influences on the B.sub.1 map caused by T.sub.1 relaxation. Preferably, either the first or the second preparation period (21) is preceded by an RF inversion pulse to obtain the different T.sub.1-weightings. Moreover, the invention relates to an MR device (1) and to a computer program for an MR device (1).

METHOD AND SYSTEM FOR IMPROVED CLASSIFICATION OF CONSTITUENT MATERIALS

An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.