In a device and method for monitoring an RF transmission circuit of an MRI device: a first power measurement signal is acquired that indicates a voltage of a first RF signal provided by an RF power amplifier of the RF transmission circuit; two second power measurement signals are received that each indicate a voltage of one second RF signal, the two second RF signals being generated based on the first RF signal by a bridge of the circuit and transmitted via an RF transmit coil; an inverse matrix calculation is performed based on the two second power measurement signals to obtain a voltage calculation value; the voltage calculation value is compared with the first power measurement signal; an operational status of the RF transmission circuit is determined based on a difference between the voltage calculation value and a voltage value of the first power measurement signal.

A method for magnetic resonance imaging (MRI) comprises applying a consecutive series of MRI sequences to a target volume (V) according to experimental settings (TR, α, β). A discrete sequence of transient response signals (Sn, Sn+1,Sn+2) is measured and fitted to a fit function (F) that is continuously dependent on a sequence number (n) of the respective MRI sequence (Pn) and corresponding response signal (Sn). A shape of the fit function is determined according to an analytically modelled evolution by the experimental parameters (TR, α, β) as well as variable intrinsic parameters (r,λ3, φ, δ) to be fitted. For example, the model is based on an equivalent harmonic oscillator. The intrinsic parameters of the fit function can be related to the intrinsic properties (PD,T1,T2) of the spin systems and used for imaging the target volume (V). Various optimizations of contrast can be achieved by tuning the experimental settings according to the model.

In a method for creating a first and a second image dataset of an examination object, a train of RF refocusing pulses are radiated into the examination object after the radiation of an RF excitation pulse to generate a spin echo signal after each radiated RF refocusing pulse, phase encoding gradients are activated for encoding the phases of the spin echo signals generated, and readout gradients are activated in each case in a readout window to read out the generated spin echo signals as measurement data. The readout windows alternately include a first time point at which the phases of the different spin species in the spin echo signal are the same, and a second time point at which the phases of the different spin species in the spin echo signal are not the same.

According to one embodiment, the MRI apparatus includes an RF coil apparatus having a coil element, a coil port to which the RF coil apparatus is connectible, receive circuitry receiving a signal detected by the RF coil apparatus via the coil port when neither an RF pulse nor a gradient magnetic field is being applied, and performing A/D conversion with an A/D converter, and processing circuitry detecting an abnormality based on the signal. With the RF coil apparatus being connected to the coil port, the receive circuitry switches at least one switch provided in a section between the coil element and the A/D converter between on and off, and receives the signal. The processing circuitry compares a signal of a path where the coil element and A/D converter are connected with a signal of a path where the coil element and A/D converter are not connected, and detects the abnormality.

A relative substance composition (RSC) of a portion of a body of a patient in a field of view for a medical image to be taken from the patient in a medical imaging scan is estimated. An input interface receives a piece of patient information data (PPID) and receives a piece of field-of-view information data (PFID). A computing device is configured to implement a trained machine learning algorithm (MLA). The trained MLA is configured and trained to receive the PPID and the PFID received by the input interface as an input and to generate as an output an output signal indicating an RSC of a portion of the body of the patient for the medical image based on the PPID and the PFID. An output interface outputs at least the output signal.

A method (and apparatus) for NMR relaxation measurements on borehole materials (e.g., drill cuttings, sidewall cores and whole cores) is based on combining an FID signal and spin-echo signals to obtain relaxation properties of a sample having fast relaxation components. The method comprises acquiring NMR signals from the sample, acquiring calibration NMR signals and acquiring a background signal (e.g., ringing after an excitation pulse). The background signal may be acquired using an additional static magnetic field to substantially spoil the NMR excitation volume in the sample. The acquired signals are processed to obtain a nuclear magnetic resonance relaxation property of the sample with at least one (first point) on the relaxation data produced from the FID and with the background data eliminated from the relaxation data.

A calibration method includes receiving magnetic field values, which are generated by a plurality of real magnetic transmitters and are measured at multiple positions on a grid in a region containing a magnetic field perturbing element. Approximate locations of the real magnetic transmitters are received. Using the approximate locations, a respective plurality of imaginary magnetic sources is characterized inside the field perturbing element. Using the measured magnetic field values, the approximate locations, and the characterized imaginary sources, there are iteratively calculated (i) actual locations of the real and imaginary magnetic sources in the region, and (ii) modeled magnetic field values that would result from the real and imaginary magnetic sources at the actual locations. Using the calculated locations, and the modeled magnetic field values at the multiple positions on the grid, a magnetic field calibration function is derived for the region.

Methods and systems are provided for determining diagnostic-scan parameters for a magnetic resonance (MR) diagnostic-scan, from MR calibration images, enabling acquisition of high-resolution diagnostic images of one or more anatomical regions of interest, while bypassing acquisition of localizer images, increasing a speed and efficiency of MR diagnostic-scanning. In one embodiment, a method for a magnetic resonance imaging (MRI) system comprises, acquiring a magnetic resonance (MR) calibration image of an imaging subject, mapping the MR calibration image to a landmark map using a trained deep neural network, determining one or more diagnostic-scan parameters based on the landmark map, acquiring an MR diagnostic image according to the diagnostic-scan parameters, and displaying the MR diagnostic image via a display device.

Systems and methods for pre-tuning a main Nuclear Quadrupole Resonance (NQR) probe using a forward sensing probe include a determination of an amount of resonance detuning of the forward sensing probe caused by a moving object entering a field of view of the forward sensing probe. The amount of resonance detuning is used to pre-tune the main probe such that when the moving object enters a field of view of the main probe, the main probe will move back into tune while delivering optimal power to the object for measurement and identification of a material therein.

The disclosure relates to the automatic determination of correction factor values for producing MR images using a magnetic resonance system. A plurality of MR images is produced, wherein each MR image is produced using parameters with parameter values and using correction factors with correction factor values. In order to produce the MR images, MR data of the same examination object is acquired under the same external boundary conditions. The MR images are evaluated automatically in respect of artifacts in the respective MR image, in order to determine the MR image with the least artifacts among the MR images. The correction factor values are determined as those correction factor values which have been used to produce the MR image with the least artifacts. The parameters determine a sequence, with which the MR data is acquired for producing the MR images. The correction factors reduce influences which influence the acquisition of the MR data.