403results about "Measurements using NMR spectroscopy" patented technology

Embodiments include a system for material detection and identification. The system may include an RF transmit device configured to transmit into an environment an RF signal at a resonance frequency. The system may also include an RF receiver device configured to receive a response signal from the environment. The system may further include a communication device connecting the RF transmit device and the RF receiver device. The communication device may include a control module. The system may include a geolocation device. The control module may be configured to receive geolocation data from the geolocation device, analyze the response signal for resonance characteristics that indicate a presence of a material, and identify the material to a user when the presence of the material is indicated by the resonance characteristics. Methods for material detection and identification are also described. Methods may involve obtaining geolocation data.

1H-NMR spectroscopic molecular markers are provided for identifying medical risk signatures such as SARS-CoV-2 infection, acute inflammation, or a cardiovascular risk condition. The markers use a combination of NMR intensity signals, including a Glyc signal from at least one N-acetyl (—NCOCH3) glycoprotein and an SPC signal from a choline head group (+N—(CH3)3) of a supramolecular phospholipids cluster (SPC) present in HDL and LDL lipoprotein subfractions. The Glyc signal is in a chemical shift region from #=2.00 ppm to #=2.20 ppm, and includes signals GlycA (2.00 ppm to 2.09 ppm) and GlycB (2.09 ppm to 2.2 ppm). The SPC signal is in a chemical shift region from #=3.20 ppm to #=3.30 ppm, and includes signals SPC1 (3.2 ppm to 3.235) ppm, SPC2 (3.235 ppm to 3.26 ppm), and SPC3 (3.26 ppm to 3.3 ppm). A system for identifying the markers is also provided.

The invention relates to the technical field of rock sample oil-water saturation determination based on a nuclear magnetic technology, and provides a shale sample oil-water saturation intelligent determination method based on a two-dimensional nuclear magnetic technology, and the method comprises the following steps: collecting volumes, echo signals and signal-to-noise ratios of a preset number of rock samples; marking a target rock sample and a comparison rock sample, and determining a volume influence comprehensive interference degree and a noise amplification coefficient of a target echo signal; obtaining a denoised target echo signal according to the target echo signal, the volume of the rock sample corresponding to the target echo signal and the noise amplification coefficient of the echo signal; according to experiments of rock sample two-dimensional nuclear magnetic oil-water distribution, pore attributes and the like, a two-dimensional nuclear magnetic T1-T2 map is divided into an invalid pore area and an effective pore area of a rock sample corresponding to the two-dimensional nuclear magnetic T1-T2 map and an oil-water distribution area of the effective pore area, a fluid close to reservoir oil-water distribution is adopted to recover a two-dimensional nuclear magnetic spectrum of the rock sample, and the oil-water content corresponding to a nuclear magnetic signal is extracted; and obtaining a rock sample oil-water saturation determination result based on the nuclear magnetic technology.

The invention relates to the technical field of magnetic resonance imaging, and discloses a motion estimation guided magnetic resonance four-dimensional dynamic imaging method and device, and the method comprises the steps: obtaining a three-dimensional single-frame static image of magnetic resonance and an under-acquired low-resolution four-dimensional dynamic image sequence, the low-resolution four-dimensional dynamic image sequence is a multi-frame low-resolution four-dimensional dynamic image obtained by carrying out undersampling on K space acquisition data; utilizing a motion encoder in the image sequence prediction model to extract motion estimation information in the low-resolution four-dimensional dynamic image sequence; inputting the three-dimensional single-frame static image into a structure encoder in the image sequence prediction model to obtain static anatomical structure information; and fusing and decoding the motion estimation information and the anatomical structure information through a decoder to obtain a high-resolution four-dimensional dynamic image sequence. The problems that an existing magnetic resonance four-dimensional imaging technology is long in scanning time, complex organ movement is difficult to capture, and time-space consistency is poor are solved.

The invention relates to a Spin Exchange Relaxation-Free (SERF)-based magnetometer system (100) for detecting ultra- weak magnetic fields, particularly suited for bio¬ sensing applications such as MEG, MCG, and MRI. The system operates at room temperature and includes a VCSEL (101) emitting dual beams tuned to Rubidium-87 transitions, a microfabricated vapor cell (102) with LIAD-based heating (103), and an optical assembly (104) for polarization control. A detection unit (105) converts Faraday rotation into electrical signals, enhanced by lock-in amplification. Magnetic shielding (106), thermal management (107), and relaxation mitigation maintain SERF conditions. A calibration subsystem (109) and embedded machine learning module (110) optimize sensitivity in real time. The compact, cryogen-free architecture enables portable and wearable applications. The invention achieves femtotesla-level sensitivity while overcoming limitations of conventional SQUID-based systems, making it suitable for clinical and field deployments.

The invention provides a denoising method for a magnetic resonance spectrum based on Transform, and relates to the technical field of signal processing and artificial intelligence, and the method comprises the steps: firstly obtaining a noisy free induction decay signal (FID) and a corresponding label signal, constructing a training data set, converting the signal into a frequency domain signal through fast Fourier transform, and carrying out the amplitude normalization; a real part and an imaginary part of a frequency domain signal are respectively projected to a high-dimensional feature space, and are respectively sent to a multi-head self-attention mechanism-based multi-layer Transform encoder through two channels, so as to capture the global correlation of a long sequence. And the coded output is separated and decoded, a real part and an imaginary part are recovered respectively, and a denoised complex frequency domain signal is obtained through combination. In the training process, a complex mean square error is used as a loss function, and dynamic learning rate scheduling and an early stop mechanism are combined to improve convergence stability and model training efficiency.

Provided are an atomic beam magnetic resonance method and system based on combined separated oscillatory fields. The method includes: generating, by an atomic beam source, two identical atomic beams; performing atomic state purification treatment on the two identical atomic beams to generate two identical state-purified atomic beams; exciting, by zero-phase-difference SOFs, one identical state-purified atomic beam to perform atomic beam magnetic resonance to obtain a first atomic beam magnetic resonance signal; and exciting, by π-phase-difference SOFs, the other identical state-purified atomic beam to perform atomic beam magnetic resonance to thereby obtain a second atomic beam magnetic resonance signal, the zero-phase-difference SOFs and the π-phase-difference SOFs have the same interaction length, the same drift length, and the same oscillatory field strength; and performing subtraction operation on the first atomic beam magnetic resonance signal and the second atomic beam magnetic resonance signal to thereby generate a combined Ramsey magnetic resonance signal.

A method, computer program product, and sensor chip for use as a quantum magnetometer. An array of nano-pillars may be fabricated. A 2D-material may be transferred on top of the array of nano-pillars. The array of nano-pillars and the 2D-material may be combined with a sensor chip, wherein the array of nano-pillars and the 2D-material may be combined with the sensor chip at a constriction region of the sensor chip.

The invention relates to the technical field of nuclear magnetic resonance, and discloses a frequency spectrum measurement method, device and equipment in nuclear magnetic resonance and a storage medium, a target sample is arranged in a uniform magnetic field, the target direction of the target sample is consistent with the uniform magnetic field, and the target sample is provided with a gradient coil; the method comprises the following steps: applying a linear gradient magnetic field in a target direction of a target sample; determining a uniform area of the radio frequency coil according to the bandwidth of the radio frequency pulse signal; during the period of receiving the nuclear magnetic resonance echo signal, the magnetic field size of the linear gradient magnetic field is adjusted under the condition of the target turning angle until the region of the nuclear magnetic resonance echo signal is constrained in the uniform region of the radio frequency coil, and a target linear gradient magnetic field is obtained; obtaining a target nuclear magnetic resonance echo signal according to the target linear gradient magnetic field; and performing inversion on the target nuclear magnetic resonance echo signal to obtain a T1-T2 spectrum. The problem of T1 end trailing caused by traditional T1-T2 measurement is solved, and the measurement precision is greatly improved.

A method of fitting spectrum data to a model of biological substance data is disclosed. The method comprises receiving spectrum data, receiving fitting data for each of a plurality of biological substances, wherein fitting data comprises, for each of the plurality of biological substances: a number of reference multiplets for that biological substance, and for each reference multiplet, the position of the centre of that reference multiplet, the number of peaks for that reference multiplet, the relative amplitude of each peak, and the width of each peak. The method further comprises determining a fitting order of the reference multiplets, wherein the position of each reference multiplet in the fitting order is based on the number of possible overlaps with other reference multiplets comprised in the fitting data, starting with the fewest overlaps and ending with the most.

An MR Spectroscopy (MRS) system and approach is provided for measuring spectral information corresponding with propionic acid (PA), either alone or in combination with other measurements corresponding with other chemicals, to diagnose and / or monitor at least one of bacterial infection, such as associated with P. acnes, or conditions related thereto such as nociceptive pain associated with tissue acidity. An interfacing DDD-MRS signal processor receives output signals to produce a post-processed spectrum, with spectral regions corresponding with certain chemicals, including PA, then measured as biomarkers. A diagnostic processor derives a diagnostic value for each disc, and performs certain normalizations, based upon ratios of the spectral regions related to chemicals implicated in degenerative painful tissue pathology, such as PA and hypoxia markers of lactic acid (LA) and alanine (AL), and structural chemicals of proteoglycan (PG) and collagen or carbohydrate (CA).

A method for producing an image of a subject with a magnetic resonance imaging (MRI) comprises acquiring a first set of partial k-space data from the subject and generating a phase corrected image based on a phase correction factor and the first set of the partial k-space data. The method further includes transforming the phase corrected image into a second set of partial k-space data and reconstructing the image of the subject from the second set of the partial k-space data and a weighting function.

A method of determining a content of an element by mass of a selected substance. The method comprises preparing a reference density calibration data-group and applying the reference density calibration data-group for determining the content of the element by mass of the selected substance. The preparation of the reference density calibration data-group comprises providing a number of primary reference samples from one or more primary reference substance(s) determining an NMR intensity of at least one reference isotope for each of the primary reference samples, and generating the reference density calibration data-group. The determination of the content of the element by mass of the selected substance comprises determining an NMR intensity of at least one sample isotope of the sample and a density of the sample, and based on the determined NMR intensity and density of the sample, determining a second parameter representing the content of the element by mass of the selected substance.

The determination of chemical mixture components is vital to a multitude of scientific fields. Oftentimes various spectroscopic methods are employed to decipher the molecular composition of these complex mixtures. The sheer density of spectral features of different molecules present in such observations may make unambiguous assignment to individual species using these methods challenging. Yet, components of a mixture are commonly chemically related due to environmental processes or shared precursor molecules. Therefore, along with investigating the spectroscopic signals, analysis of the structural and chemical relevance of a molecule is an important consideration when determining which species are present in a mixture. Machine-learning molecular embedding methods are used with a relevance module to determine the likelihood of a molecule being present in a mixture based on the other known species, chemical priors, and spectroscopic information. By incorporating this metric, the mixture components can be identified with extremely high accuracy (∼ 97%).

The formation protocol is 20 or more times faster than a conventional formation protocol, may result in an improved stable high ionic conductivity, low impedance solid electrolyte interface (SEI), less electrolyte consumption and less irreversible capacity loss compared to the conventional formation protocol.

The invention discloses a high-fidelity magnetic resonance spectrum reconstruction method, and relates to a magnetic resonance spectrum reconstruction method. Comprising the following steps: 1) acquiring a to-be-reconstructed magnetic resonance spectrum time domain signal; 2) proposing a magnetic resonance spectrum reconstruction model based on symmetric rank-one Hankel matrix decomposition; and 3) solving the model in the step 2) by using a projection gradient algorithm to obtain a magnetic resonance spectrum time domain signal, and performing Fourier transform on the magnetic resonance spectrum time domain signal to obtain a final spectrum signal. According to the method, the high-fidelity reconstruction of the magnetic resonance spectrum is realized based on the symmetry of the Hankel matrix and the rank-one characteristic of the magnetic resonance spectrum signal.

Methods and systems with 129Xe dynamic spectroscopy with a fitting function that includes one or more non-Lorentzians, optionally with a barrier Voigt, and signal processing for identifying cardiogenic oscillations for evaluating disease states, use in drug discovery or monitoring disease status.

The invention discloses a magnetic resonance spectrum reconstruction method and device based on an unsupervised feature extraction network. The method comprises the following steps: constructing a simulated nuclear magnetic spectrum data set according to nuclear magnetic spectrum features in combination with a related mathematical model; performing normalization processing and augmentation processing on each simulated nuclear magnetic spectrum sample in the simulated nuclear magnetic spectrum data set to obtain a processed simulated nuclear magnetic spectrum data set; constructing a feature extraction network and carrying out MoCo learning training to obtain a trained feature extraction network; a magnetic resonance spectrum reconstruction model is constructed and trained, a trained magnetic resonance spectrum reconstruction model is obtained, and the feature extraction module is a second encoder in the trained feature extraction network; and obtaining nuclear magnetic spectrum data to be reconstructed, carrying out normalization processing on the nuclear magnetic spectrum data to obtain processed nuclear magnetic spectrum data, inputting the processed nuclear magnetic spectrum data into the trained magnetic resonance spectrum reconstruction model, and predicting to obtain a corresponding one-dimensional spectrum. The reconstruction effect of the original reconstruction network is improved, and the processing speed is high.

The disclosure discloses a chemical-shift-encoded imaging method and apparatus based on phase unwrapping, and a device. Comprises: performing phase conversion on the phasor candidate solution for the purpose of enabling a difference between a correct solution and an inverse decomposition solution of the phasor candidate solution to be within a set range, and on the basis of a phase unwrapping method, performing determination to obtain an intermediate phasor solution; determining a true phase of the intermediate phasor solution, and converting the true phase to a phasor candidate solution space to determine a target phasor solution; and on the basis of the target phasor solution, determining a first chemical component signal and a second chemical component signal, and on the basis of the first chemical component signal and / or the second chemical component signal, performing chemical-shift-encoded imaging.

The present invention discloses a method for effectively disassembling a nuclear magnetic resonance relaxation time spectrum, comprising the following steps: S1, constructing a probability density function of pores and caves according to the distribution characteristics of pores and caves in a core nuclear magnetic resonance T2 spectrum; S2, setting the sum of the nuclear magnetic spectrum areas to 1, randomly generating n data points within the interval of pore distribution, and dividing all the data points into multiple data sets by screening peak values; S3, calculating a likelihood function; S4, calculating a priori probability that each data point belongs to a pore or a cave; S5, updating various parameters in an iterative method using the priori probability; and S6, calculating a new logarithmic likelihood based on the updated parameters, and updating the expected E in the iterative method. p and E v , expected E p and E v Repeat steps S2 to S5 until the convergence condition is met and the iteration is terminated. The present invention combines nuclear magnetic resonance testing with an iterative method to decompose the nuclear magnetic resonance spectrum, thereby improving the accuracy of the spectral shape distribution.

An article includes a cylinder of single crystal sapphire for use during solid state nuclear magnetic resonance (SSNMR) measurements. The axis of the cylinder is aligned with an axis of symmetry of the single crystal. The cylinder is configured to rotate at a known angle and known fraction of an angular velocity as the sample during operation of the SSNMR system. In some uses, a current angle of a stator is determined based on separation of peaks in a measured signal from aluminum atoms in the sapphire crystal. Stator orientation is adjusted until the current angle is within a desired tolerance of a target angle, including one different from a magic angle.

The invention relates to a nuclear magnetic resonance (NMR) probe head (10) for use in a nuclear magnetic resonance (NMR) spectrometer, comprising a mechanical device (11), characterized in that the mechanical device comprises an actuator platform to which an actuator is attached, the platform being movably connected to a carrier stage equipped with three actuating elements arranged thereon, the carrier rack enables the carrier rack to move the actuator platform to any required spatial position relative to the adjusting rod; the engagement system comprises a receiving element arranged on the lower end of each adjustment lever and an insertion element arranged on the top end of the actuator, the insertion element being designed and adapted to fit into any one of the receiving elements in order to mechanically couple the corresponding adjustment lever with the actuator, thus, transmission of rotational and / or translational motion from the actuator to the adjustment lever is provided. The invention also relates to an NMR spectrometer.

The present invention discloses a small ultra-low field nuclear magnetic resonance spectrometer, which includes a sample flow module for driving a liquid sample to flow between a polarization region and a detection region; a hyperpolarization module for polarizing the liquid sample; a probe and sample fixation module for fixing a sample tube in the detection region and a nuclear magnetic detection module; a pulse application module for applying a pulse to the liquid sample to rotate the nuclear magnetization vector of the sample to the transverse direction and perform free evolution of the sample spin; a nuclear magnetic detection module for detecting the free evolution spin signal of the liquid sample and converting it into a voltage signal; a magnetic shielding module for shielding the geomagnetic field to ensure an ultra-low field environment; and a timing control module for controlling the operation of each module and collecting the voltage signal. Through the combination of each module, the detection process of the present invention is carried out in a magnetic shielding environment, eliminating the dependence on a strong magnetic field of a traditional nuclear magnetic resonance spectrometer, effectively reducing the system complexity and cost; making the overall structure simple, small in size, easy to move, and adaptable to nuclear magnetic detection in various environments.

In a general aspect, a magnetic resonance system performs a magnetic resonance measurement. In some examples, a magnetic resonance system includes data processing apparatus and a superheterodyne spectrometer system. The data processing apparatus generates digital intermediate frequency (IF) signal information based on a pulse profile. The digital IF signal information is configured to suppress an image sideband in a magnetic resonance control signal. The superheterodyne spectrometer generates the magnetic resonance control signal based on the digital IF signal information.

Dynamic Hyperpolarization 129 Xe gas exchange spectroscopy. Used to obtain hyperpolarized signals from the lung by fitting one or more non-Lorentzian line shapes (such as the Voigt line shape used to fit the barrier resonance signal) 129 The Xe dynamic NMR free induction decay signal generates dynamic spectral parameters and further signal processing to identify parameters of cardiogenic oscillations and is used in methods and systems for using these parameters to assess disease states, in drug discovery or in monitoring disease states.

A method of suppressing a signal by increasing entropy in a system includes iteratively applying a set of electromagnetic (EM) pulses to the system, the set of EM pulses causing exchange between pairs of system levels: a first system level in which a reset system is at a highest level and a target system is at a lowest target system level; the reset system is at the highest energy level and the target system is at the highest target system energy level; waiting for a period of time. This will suppress the signal of the target element. This may be, for example, a solvent signal in the NMR.

The utility model relates to the technical field of single-chip microcomputers, in particular to a nuclear magnetic resonance spectrometer circuit based on a single-chip microcomputer, which comprises a bottom box, a circuit chip is mounted in the bottom box, circuit break protectors are mounted on the left side and the right side of the circuit chip, pins are uniformly mounted on the outer sides of the circuit break protectors, and the circuit break protectors are connected with the bottom box. A top box is installed on the upper side of the bottom box, a temperature sensor is installed on the rear side of the top face of the top box, heat dissipation holes are evenly formed in the middle of the top face of the bottom box, waterproof breathable films are arranged in the heat dissipation holes, and a controller is installed on the front side of the top face of the bottom box. Heat dissipation fins are arranged on the top face of the bottom box and located on the front side and the rear side of a heat dissipation hole, a circuit breaker protector, a temperature sensor and a controller can enable the single-chip microcomputer not to run any more in an automatic circuit disconnection mode when the single-chip microcomputer is overheated, and therefore heat generated by the single-chip microcomputer due to overwork can be reduced, and the service life of the single-chip microcomputer is prolonged. And the service life of the single-chip microcomputer is longer.

A method for relaxation time determination includes delivering a series of radio frequency (RF) pulses in a sequence to a specimen having a magnetic resonance spin system. The pulses are separated by equal time intervals and the sequence has a duration comparable or greater than a spin-lattice relaxation time for the spin system. The method includes receiving a response after each RF pulse in the series. The response includes a free induction decay and spin echoes. The method includes generating a series of single point imaging (SPI) images from each response. Each SPI image of the series corresponds to an RF pulse in the series. The method includes converting SPI images to a spin-spin relaxation map and a spin-lattice relaxation map.

A method for relaxation time determination includes delivering a series of radio frequency (RF) pulses in a sequence to a specimen having a magnetic resonance spin system. The pulses are separated by equal time intervals and the sequence has a duration comparable or greater than a spin-lattice relaxation time for the spin system. The method includes receiving a response after each RF pulse in the series. The response includes a free induction decay and spin echoes. The method includes generating a series of single point imaging (SPI) images from each response. Each SPI image of the series corresponds to an RF pulse in the series. The method includes converting SPI images to a spin-spin relaxation map and a spin-lattice relaxation map.