Magnetic Measurements TRIZ Cases

Integrating an MRI-compatible motor into the scanner creates compact elastography torque transmission while preserving image quality.

This case uses changing inclination and curvature on a magnetic sensor support to reduce MR element thickness variation.

A rotating two-pole mu-metal concentrator uses second-harmonic sensing to avoid calibration and improve compass precision.

Continuous 3D acquisition and machine-learning artifact removal enable isotropic CMR images without breath holds or contrast agents.

A stepped bottom electrode and tapered MTJ profile reduce ILD voiding and shorts while improving lower-to-upper wiring connectivity.

A monitoring circuit redirects MRI magnet discharge energy to power ramp-down control after supply failure, without batteries.

This case combines heading data, constrains corrections, and averages deltas to improve IMU reliability during long-term use.

A high-permeability lower film and wider upper-film gap improve flux delivery while reducing sensitivity variation.

This case uses an MPO-activated gadolinium contrast agent to enhance MRI and identify unstable atherosclerotic plaques.

A calibrated linear encoder and magnetic sensor array track magazine cartridges and chamber status despite wear and alignment shifts.

Alternating magnetic poles and a directional bias magnet improve linearity in magnetoresistive position detection.

Distributed auxiliary sub-sequences provide real-time MRI motion data while reducing added scan time and supporting clearer images.

A wall-mounted magnetic level gauge uses a magnetoresistive chip to detect solid or liquid levels with low power.

This case uses an antiferromagnetic layer around MR elements to apply bias fields while preventing shielding-related sensitivity loss.

Soft magnetic yokes and exchange-coupled ferromagnetic and antiferromagnetic portions help preserve stable bias fields and sensor output.

The MRI case extends detected motion periods to remove unstable data and improve image reconstruction accuracy.

A constant-field diffusion structure improves offset removal in vertical Hall elements.

Segmented antiferromagnetic layers strengthen sensor biasing while preserving film integrity.

Stacked axial and radial holding members tune MRI static-field distribution, improving uniformity and expanding imaging space.

A deep neural network maps magnet blocks and materials to improve MRI permanent-magnet intensity and homogeneity.

Spatially informed PCA selection denoises multi-acquisition MRI while preserving anatomy.

Timestamp-based screening removes mis-triggered cardiac MR data, improving motion-compensated image fidelity without neural networks.

Matching-degree feedback adjusts vector spacing in tubular structures for clear blood-flow visualization.

This case shows how equal-spacing doped wells form an integrated bias resistor that addresses Hall sensor drift while reducing die area.

A gradient field and time-varying high-frequency field enable spatial magnetic measurements with improved throughput.

A lateral-moving rope guide integrates Hall sensors and an idler sheave for continuous hoisting rope defect detection.

A linear out-of-shaft sensor arrangement combines phase-shifted magnetic signals to improve angular resolution without complex 2D placement.

This ASL MRI case combines labeled fluid bolus measurements to produce usable perfusion data before acquisition is complete.

A support-mounted drive rotates the patient platform, reducing hop-on height and simplifying linear adjustment and maintenance.

This case uses Hall voltage from a cobalt ferroboron layer to simplify max pooling and reduce circuit scale in AI chips.

Effective coil maps reduce aliasing in accelerated parallel MR reconstruction.

The case uses respiratory signals to tailor breath-holding MR scan duration, reducing artifacts, repeats, and patient fatigue.

Oxidized magnesium cap layers enhance MTJ anisotropy and improve MRAM error rates.

This case uses multi-stage electromagnetic coils to align charged particle beams with the MR field for accurate tumor targeting.

A nonlinear magnetic gap boosts Hall accelerometer sensitivity across ranges.

A feedback resistor and operational amplifier maintain equal input voltages, limiting signal amplitude for low-power sensing.

NMR relaxation rates of water protons provide rapid, non-invasive cell culture monitoring without reagents or sample preparation.

This case uses three magnetic detection elements and signal processing to cancel external fields without added shielding.

This case segments battery magnetic field data and inverts one region to improve defect detection precision.

Complex navigator signals and least-squares estimation track MRI motion and field offsets for real-time artifact reduction.

This handheld case combines minimally invasive puncture, vacuum extraction, and NMR sensing to analyze small body-fluid samples reliably.

Taxon filaments with sub-2-micron inner diameters replicate neural fibers for anisotropic MRI calibration and validation.

During MRI, image-based patient data calculates a T-wave correction factor to improve ECG gating and image collection accuracy.

Diffusion coefficients from orthogonal MRI gradients provide compensation factors without strict phantom geometry or positioning.

Analyze blood plasma NMR spectra with machine learning to distinguish cancer from normal and benign conditions without radiation.

Independent Z-axis coil paths improve magnetic-field uniformity, supporting precise targeted and whole-body MRI scans.

ECG interval analysis removes mis-triggered cardiac MRI frames before reconstruction.

A magnetic sensor bridge circuit uses a sub-pad to enable uniform-field inspection and improve magnetic encoder manufacturing yield.

A B0 prediction model uses initial maps and motion data to update MRI field maps, reducing scan time while improving image quality.

Interchangeable diffusion and perfusion modules create ground-truth tissue conditions for validating MRI data quality.