The present disclosure relates to a method for performing phosphorous-31 spectroscopic magnetic resonance fingerprinting (MRF). The method comprises performing a pulse sequence using a series of varied sequence blocks to a volume in a subject where the volume contains phosphate metabolites. A series of signal evolutions are acquired from the volume in the subject to form MRF data. The MRF data is then compared to simulated MRF signal to determine parameters associated with phosphate metabolites and the chemical exchange rates between these metabolites. These parameters and exchange rates can be used in diagnosing a metabolic disorder in a subject.

A method for extracting information encoded in a result of an NMR measurement, including the following steps: providing a first result of an NMR measurement of a sample; providing a second result of an NMR measurement of a calibration sample; calculating a conversion factor being indicative for a dependency between encoded information on the calibration sample and the concentration of at least one constituent of the calibration sample, applying the conversion factor to information encoded in the first result, calculating a validity value for a subset of the encoded information of the first result, the validity value being representative for a fitness of a first subset of the encoded information to be separated from a second subset of the encoded information, and assigning the validity value to the subset of the encoded information for which it was calculated.

A new method for reconstructing a full spectrum from under-sampled magnetic resonance spectrum data by using a deep learning network. First, the exponential function is used to generate a time-domain signal of the magnetic resonance spectrum, and a zero-filling time-domain signal is obtained after the under-sampled operation is completed in the time domain. The zero-filling time-domain signal and the full spectrum corresponding to the full sampling are combined to form a training data set. Then, a data verification convolutional neural network model is established for magnetic resonance spectrum reconstruction, where the training data set is used to train neural network parameters to form a trained neural network. Finally, the under-sampled magnetic resonance time-domain signal is input to the trained data verification convolutional neural network, and the full magnetic resonance spectrum is reconstructed.

It is an integrative platform for visualization, preprocessing and quantitation of MRS data acquired using single voxel, multi voxel magnetic resonance spectroscopy imaging (MRSI) and MEshcher-GArwood Point-RESolved Spectroscopy (MEGA-PRESS) acquisition methods. The method integrates both time- and frequency-domain signal processing methods on a single platform. The method is optimized for proton (.sup.1H) and phosphorous (.sup.31P) MRS data. It employs the use of iterative baseline estimation and fitting procedure to provide improved quantitation accuracy. The method can be used in both interactive and automatic mode to cater to the needs of researchers and clinicians.

Methods of fingerprinting a specific molecule in a composition using nuclear magnetic resonance (NMR) is disclosed. The disclosed NMR methods provide several modifications and improvements over existing NMR techniques. In some embodiments, the methods include applying a cycle of signal processing steps, including applying a radio frequency (RF) pulse, applying a gradient pulse having a pulse length less than or equal to 1000 μs, and applying a water suppression technique (WET). In some embodiments, the methods further include repeating the cycle for at least 3 times to acquire an enhanced signal of the composition. In some embodiments, the methods further include fingerprinting the specific molecule based on the enhanced signal of the composition

A method of generating codes for chemical structures from NMR spectroscopy data comprises receiving spectroscopic data of a chemical compound, inputting the spectroscopic data into a first artificial neural network to generate molecular descriptors, receiving a molecular descriptor from the first artificial neural network, inputting the molecular descriptor a second artificial neural network to convert structure data of the chemical reference compounds to molecular descriptors and to convert the molecular descriptors back to the structure data, and receiving structure data of the chemical compound from the second artificial neural network.

Apparatus for the measurement of ore in mine haul vehicles is disclosed, the apparatus comprising: a portal, defining a portal zone, wherein a haul vehicle carrying ore is positionable in or movable through the portal zone; and at least one magnetic resonance (MR) sensor comprised in the portal. The MR sensor includes a main loop and a drive loop located above the main loop. A magnetic resonance sensor control system is provided and configured to control at least one of: the positioning of the at least one MR sensor relative to the portal zone and/or ore burden; the positioning of elements comprised in the MR sensor relative to each other; electromagnetic suppression characteristics of the at least one MR sensor; and/or sensitivity of the at least one MR sensor as a function of distance of the sensor from the ore burden.

A completely non-invasive diagnostic toolset and method to image and localize degeneration and/or pain. Extent of degeneration is determined based on NMR spectroscopy of intervertebral disc tissue. Correlation between NMR spectral regions and at least one of tissue degeneration and pain are made. Accordingly, NMR spectroscopy is used to determine location and/or extent of at least one of degeneration or pain associated with a region of tissue, such as for example in particular disc degeneration, or discogenic pain. NMR spectral peak ratios, such as between N-Acetyl/cho and cho/carb, are acquired and analyzed to predict degree of tissue degeneration and/or pain for: tissue samples using HR-MAS spectroscopy; and larger portions of anatomy such as joint segments such as a spine, using clinical 3T MRI systems with surface head or knee coils; and tissue regions such as discs within spines of living patients using 3T MRI systems with a surface spine coil.

A system for measuring electromagnetic radiation, including at least one light source; a quantum converter arranged to be exposed to radiation emitted by the at least one light source and the electromagnetic radiation, and at least one detector for detecting optical radiation received from the quantum converter. The quantum converter includes at least a first interaction zone and a second interaction zone, and the system establishes at least a first light beam path for exposing the first interaction zone and a second light beam path for exposing the second interaction zone with radiation emitted by the at least one light source. Each laser beam path is controllable to be in an activated state enabling exposure and in a deactivated state preventing exposure of the respective interaction zone.

A nuclear magnetic resonance (NMR) system-based substance measurement method, including: acquiring several echo signals of an NMR pulse sequence varying in echo spacing from a substance to be measured followed by processing to obtain several signals varying in transverse relaxation and diffusion attenuation; and fitting, in combination with the prior knowledge, the signals to obtain the diffusion coefficient, transverse relaxation time or/and content weight of individual components of the substance to be measured. This application further provides a substance measurement system including a console, a magnet module, and an NMR system.