Patent classifications
G01R33/0064
Numerical model of the human head
Systems and methods for generating a numerical model of the human head are provided. A numerical model may be created by generating a data array in a magnetic resonance modeling system, each cell of the array corresponding to a location in the head. The cells may be grouped into one or more regions, each group corresponding to a segment of the head. The cells of the array may be populated with values corresponding to tissue properties relevant to MR imaging. Tissue property values may be selected for each region based on one or more probability distributions. For each region and each tissue property, a value may be selected based on a corresponding probability distribution. Selected tissue property values may be input into cells in the array corresponding to the region with which the probability distribution is associated. The numerical model may be used as an input to an MRI simulator.
METHOD FOR EVALUATING ULTIMATE DEMAGNETIZATION TEMPERATURE OF MAGNET
A method for evaluating ultimate demagnetization temperature of magnet includes displaying a workspace interface. The workspace interface at least includes an operation area, a model view displaying area, and a demagnetization curve displaying area. A geometric model view of a geometric model file to be solved is displayed in the model view displaying area. Information input is received through the operation area and the model view displaying area, and performance parameters and designing variables to be solved and formulas are imported accordingly. Through calculating, a demagnetization curve with post-treatment for the magnet is obtained and displayed in the demagnetization curve displaying area.
Method, Apparatus and Computer Program Product for Determining the Component of a Magnetic Field in a Predetermined Direction
The invention relates to a method for determining the component of a magnetic field in a predetermined direction. The method comprises preparing a quantum system in a coherent superposition state (S1), letting the quantum system evolve for a delay time period (S2) and performing a readout operation and a projective measurement on the quantum system (S3). The steps (S1, S2, S3) are iteratively repeated in an iteration loop, wherein the delay time period increases linearly by the same time increment after each iteration. The method further comprises determining the component of the magnetic field in the predetermined direction according to the outcome of the projective measurements (S4).
PHYSICAL SIMULATION APPARATUS AND METHOD
A physical simulation apparatus includes element reception circuitry, a storage device, storage control circuitry, and simulation circuitry. The element reception circuitry successively receives sequence elements of a hardware control sequence that is divided according to a division rule on a transmission side. The storage device stores the received sequence elements. The storage control circuitry reads out the sequence elements stored in the storage device, in a case where a separately determined condition is satisfied. The simulation circuitry executes a physical simulation, based on the read-out sequence elements, and computes a predicted computation value of a signal value that a control target apparatus of the sequence elements collects.
Estimation or control of lengths and positions of one or more transversely localized electric current segments flowing between two conductive bodies
Magnetic field components are measured at multiple longitudinal positions and used to calculate estimated longitudinal position and length of a transversely localized electric current segment flowing across a gap between conductive bodies. The apparatus can be used with a remelting furnace. The electrode and ingot act as the conductive bodies, and arcs, discharges, or slag currents are the current segments spanning the gap. Actuators for movable sensors can be coupled to the sensors in a servomechanism arrangement to move the sensors along with the moving gap. An actuator for moving one of the conductive bodies can be coupled to sensors in a servomechanism arrangement to maintain the gap distance within a selected range as the gap moves.
Estimation of arc location in three dimensions
Multiple magnetic field sensors are arranged around a current-containing volume at multiple longitudinal and circumferential positions. Each sensor measures multiple magnetic field components and is characterized by one or more calibration parameters. A longitudinal primary current flows through two end-to-end electrical conductors that are separated by an arc gap, and flows as at least one longitudinal primary electric arc that spans the arc gap and that moves transversely within the arc gap. Estimated transverse position of the primary electric arc is calculated, based on the longitudinal position of the arc gap, and two or more of the measured magnetic field components along with one or more corresponding sensor positions or calibration parameters. In addition, estimated occurrence, position, and magnitude of a transverse secondary current (i.e., a side arc) can be calculated based on those quantities.
Method and apparatus for processing MR signal, and computer program
Methods and apparatuses for processing MR signal are disclosed herein. An exemplary method comprises: when acquired K-space signals are amplified, assigning a first amplification gain to signals within a first signal region in the K space, and assigning a second amplification gain to signals within a second signal region in the K space.
NUMERICAL MODEL OF THE HUMAN HEAD
Systems and methods for generating a numerical model of the human head are provided. A numerical model may be created by generating a data array in a magnetic resonance modeling system, each cell of the array corresponding to a location in the head. The cells may be grouped into one or more regions, each group corresponding to a segment of the head. The cells of the array may be populated with values corresponding to tissue properties relevant to MR imaging. Tissue property values may be selected for each region based on one or more probability distributions. For each region and each tissue property, a value may be selected based on a corresponding probability distribution. Selected tissue property values may be input into cells in the array corresponding to the region with which the probability distribution is associated. The numerical model may be used as an input to an MRI simulator.
Systems and methods for anisotropic vector hysteresis analysis
Systems and methods are provided for analyzing magnetic hysteresis of anisotropic magnetic materials. Magnetic hysteresis loops associated with a local coordinate of a coordinated system based on a magnetic field successively applied to each principal axis with an isotropic vector play model are determined. A relaxation factor associated with the convergence behaviors of estimated solution points is applied along with a correction, either a magnetic field correction or a flux density correction, to determine target points on magnetic hysteresis loops. An error between magnetic hysteresis loops and the estimated solution points is determined. The iteration process continues up to a preset number of iterations with alternating correction schemes based on the determined error.
SYSTEMS AND METHODS FOR SUPPRESSION OF INTERFERENCES IN MAGNETOENCEPHALOGRAPHY (MEG) AND OTHER MAGNETOMETER MEASUREMENTS
A magnetic field measurement system, non-transitory computer-readable medium or method can include instructions for, or performance of, actions including receiving output of multiple first magnetic field sensors and multiple second magnetic field sensors; and demixing, using the output of the first and second magnetic field sensors, at least one signal from at least one target source from signals from other magnetic field sources. The demixing may be performed using a model in which the output of the first magnetic field sensors includes the at least one signal from the at least one target source and that the output of the second magnetic field sensors does not include the at least one signal from the at least one target source.