Electromagnetic interference (“EMI”) is mitigated for portable magnetic resonance imaging (“MRI”) systems using postprocessing interference suppression techniques that make use of EMI detectors external to the MRI system imaging volume to detect EMI signals and remove them from acquired magnetic resonance data. EMI correction models, including static transfer function-based models, dynamic transfer function-based models, correction weight-based models, or parallel imaging kernel-based models can be used to remove the EMI-related artifacts from the magnetic resonance data.

Portable electronic devices may be inspected for the presence of explosives using a combination of nuclear quadrupole resonance (NQR) and explosive trace detection (ETD). NQR may be used to detect bulk or sheet explosives while the ETD may be used to detect minute quantities of explosive particulates. An alarm indication may be generated when either the NQR spectroscopy or the ETD detects an explosive material.

The embodiments relate to methods and to magnetic resonance tomography systems having a shim system, where the shim system includes at least one global shim coil in an area surrounding the bore of the magnetic resonance tomography system, and where the shim system includes a local shim coil in a local coil of the magnetic resonance tomography system with a shim controller, where the shim controller embodied to define shim currents for the global shim coil and for the local shim coil.

A method for determining the concentration of asphaltenes in a solution is described. A model is first established for estimating the concentration of asphaltenes in a solution based on multiple samples of solutions of asphaltenes in the solvent in which the concentrations are known. The multiple samples have varying concentrations of asphaltenes. The diffusivity and relaxation time are measured for each sample using two-dimensional NMR. The ratio of diffusivity to relaxation time for each sample is then calculated. A linear equation is determined to fit the relationship between the ratio of diffusivity to relaxation time and the asphaltene concentration by weight for the multiple samples, thus creating the model. For a given solution sample for which the concentration of asphaltenes is desired to be determined, diffusivity and relaxation time are determined using two-dimensional NMR, and the ratio of diffusivity to relaxation time is calculated. This ratio is then used with the model, so that the linear equation can be solved for the asphaltene concentration in the given solution sample.

According to one aspect of the invention, there is provided a method of constructing a diagnostic image of a sample from MRI data acquired while subjecting the sample to an inhomogeneous polarizing magnetic field, the method comprising the steps of: i) deriving an estimate of the spatial map of the inhomogeneous polarizing magnetic field; ii) acquiring the MRI data; iii) processing the estimate of the spatial map with the acquired MRI data to obtain an estimate of the diagnostic image; iv) calculating an acquired data error in response to the estimates of the spatial map and the diagnostic image; v) updating the estimate of the spatial map in response to the calculated error; and repeating the steps iii) to v) to improve the estimate of the spatial map of the earlier iteration and the estimate of the diagnostic image, wherein the repetition is stopped when the calculated error of the latest iteration reaches within a tolerance range and wherein the estimate of the diagnostic image from the latest iteration becomes the diagnostic image of the sample.

A system and method are provided for magnetic resonance imaging (MRI) and/or image reconstruction that includes acquiring multi-pass, chemical shift-encoded (CSE)-MRI imaging data of a subject. The method further includes performing a complex, joint estimation of phase terms in the imaging data for each pass of the multi-pass, CSE-MRI imaging data to account for concomitant gradient (CG)-induced phase errors of different passes. The method also includes generating at least one of a proton density fat fraction (PDFF) estimate or an R2* estimate that is unbiased by CG-induced phase errors using the phase terms and communicating a report that includes at least one of the PDFF estimate or the R2* estimate.

In a method and apparatus for acquiring a magnetic resonance image data set of a scan area of an examination subject, the image data are acquired with a magnetic resonance apparatus having a transmitter coil that emits a radio-frequency signal having at least two transmission channels so that different polarizations of the radio-frequency signal are produced, and a magnetic resonance sequence is used to acquire raw data for the magnetic resonance image data set, wherein raw data are acquired during at least two scanning operations with the magnetic resonance sequence, with different polarizations of the radio-frequency signals being used for at least two of the at least two scanning operations, following which the magnetic resonance image data set is determined by averaging the raw data.

In a method and apparatus for acquiring a magnetic resonance image data set of a scan area of an examination subject, the image data are acquired with a magnetic resonance apparatus having a transmitter coil that emits a radio-frequency signal having at least two transmission channels so that different polarizations of the radio-frequency signal are produced, and a magnetic resonance sequence is used to acquire raw data for the magnetic resonance image data set, wherein raw data are acquired during at least two scanning operations with the magnetic resonance sequence, with different polarizations of the radio-frequency signals being used for at least two of the at least two scanning operations, following which the magnetic resonance image data set is determined by averaging the raw data.

This disclosure describes systems and methods to predict viscosity of heavy oil in a geological formation, even when the geological formation also contains water such as clay-bound water, using a downhole nuclear magnetic resonance (NMR) tool. The downhole NMR tools may obtain responses include distributions of a first relaxation time T1, a second relaxation time T2, or diffusion, or a combination of these. The responses of the NMR measurements that are due to water are separated from the responses of the NMR measurements that are due to heavy oil. The responses of the NMR measurements due to heavy oil are then related to likely values of viscosity of the heavy oil based on empirical or simulated measurements.

A method and apparatus is provided for concentration determination of at least one component in an acid catalyst for hydrocarbon conversion containing an unknown concentration of an acid, an acid-soluble-oil (ASO), and water. An instrument configured for measuring a property of the acid catalyst, has responsivities to concentrations of one of the acid, ASO, and water, substantially independent of the concentrations of the others of the acid catalyst, ASO, and water. A temperature detector is configured to generate temperature data for the acid catalyst. A processor is configured to capture data generated by the temperature detector and the instrument, and to use the data in combination with a model to determine a temperature compensated concentration of the one of the acid, the ASO, and the water. Optionally, one or more other instruments configured for measuring other properties of the liquid mixture may also be used.