Eddy Current Correction
Eddy Current Correction - Related Videos
01:25
Eddy Currents
0 Views •
2023
Since eddy currents occur only in conductors, magnets can separate metals from other materials. For example, in a recycling center, trash is dumped in batches down a ramp, beneath which lies a powerful magnet. Conductors in the trash are slowed by eddy currents, while nonmetals in the trash move on, separating from the metals. This works for all metals, not just ferromagnetic ones. Other major applications of eddy currents appear in metal detectors and the braking systems of trains and roller...
06:17
Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
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Cited by 10 •
2020
Here, we present a protocol to quantify the relative thickness (i.e., thickness as a percentage with respect to a reference) of conductive ferromagnetic materials using detector coil-based pulsed eddy current sensors, while overcoming the calibration requirement.
01:15
Distance Corrections
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2025
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
01:20
Power Factor Correction
0 Views •
2024
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit. A poor power factor means the inductive electrical load absorbs more reactive power, causing a low lagging power factor. This results in large voltage drops across the load...
03:59
Surgical Correction for Pediatric Epiblepharon and Trichiasis
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2025
Here, we present a protocol for surgical correction for pediatric epiblepharon and trichiasis.
FAQs
Rapid gradient switching induces transient currents in conductive scanner components. Those currents generate delayed secondary magnetic fields that oppose the changing gradient rather than disappearing at the same instant. This timing mismatch means the actual field encoding can differ from the intended encoding, creating errors that correction models must represent to compensate.
Eddy Current Correction can target the problem through two routes. A model may adjust gradient waveforms to compensate for predicted secondary fields, or it may realign images after acquisition to reduce misregistration. Waveform adjustment addresses gradient behavior itself, while image realignment addresses the spatial arrangement of acquired images. Both approaches support more reliable later analysis.
The induced secondary fields are delayed relative to rapidly switched gradients, so their influence is not limited to a simple positional shift. Eddy currents can produce spatial and temporal distortions, meaning that image location and the timing of field effects may both depart from the intended acquisition. Modeling both dimensions helps compensation match the actual error.
In diffusion-weighted MRI, gradient-related errors can alter signal intensity, image registration, and estimated fiber orientations. These effects matter because diffusion analyses depend on reliable orientation estimates and consistent anatomical alignment. Correcting the acquisition therefore helps prevent scanner-related distortions from affecting interpretations of brain structure, tract organization, and connectivity.
It characterizes the delayed, secondary magnetic fields generated by induced currents and their relationship to the switched gradients. The model can then adjust gradient waveforms or realign acquired images, depending on the correction approach. This links the measured distortion to a compensatory operation instead of treating each image error as an isolated artifact.
By improving anatomical alignment and the reliability of diffusion-derived fiber orientations, correction supports tractography and other quantitative analyses of brain connectivity. This is important when researchers use diffusion MRI to estimate structural pathways. Better-compensated data provide a stronger basis for interpreting connectivity patterns and reduce the risk that scanner-related distortions will be mistaken for features of brain organization.