Measurements Using NMR Imaging Systems TRIZ Cases

A SPENS trajectory in transmission k-space enables homogeneous nuclear spin excitation using radio-frequency pulses and magnetic field gradients.

Frequency conversion via mixers enables hyperpolarized inert gas imaging on commercial MRI systems, resolving weak lung signal limitations.

Replacing hardware components with software modules reduces system complexity while enhancing maintenance flexibility for magnetic resonance tomography devices.

Trained neural network segments MR images into bone and air to generate subject-specific tissue maps.

Dynamic coil positioning eliminates stepwise scanning requirements, allowing efficient data acquisition across the entire patient body.

Phase-separated corrective fields neutralize imaging magnetic field inhomogeneities, reducing artifacts and ghosts in reconstructed images.

Alternating diffusion gradient polarity reduces eddy-current artifacts and measurement time in magnetic resonance imaging.

A magnetic resonance imaging method uses periodic radiofrequency pulses and spatial gradients to acquire interleaved equilibrium states.

Single-point imaging measures actual gradient fields to correct distortions from eddy currents and mechanical vibrations.

Automated MRI system calculates FWHM parameters from Z-spectra to differentiate normal and abnormal tissues.

A scout sequence determines object extension to adjust magnetic resonance imaging parameters.

A gradient coil array with a controller generates spatially-varying magnetic fields for simultaneous multi-slice excitation.

A control apparatus manages trigger signal timing to synchronize saturation pulses with examination region movement phases.

Offset spiral k-space trajectories acquire MR signals via sinusoidal gradients, ensuring central coverage despite B0 inhomogeneities.

Modified gradient echo pulse sequence encodes longitudinal and transverse relaxation data into separate signal components.

Adaptive multi-band imaging reduces thermal noise and leakage contamination by dynamically adjusting slice spacing and CAIPI phase shifts.

Alternating magnetic field gradients spread aliasing patterns uniformly throughout k-space, reducing g-factor penalties in three-dimensional acquisitions.

A spatially tailored tip-up pulse rotates in-slice spins from the transverse plane to the longitudinal axis.

Segmented RF pulses with alternating amplitude portions reduce magnetization transfer saturation while maintaining high signal-to-noise ratios.

Mixed fitting separates water and fat signals by discarding erroneous phase components, resolving bias in non-alcoholic fatty liver disease quantification.

Dephasing gradients suppress undesired signal coherence pathways in magnetic resonance imaging sequences.

Determining geometrical parameters of a multi-coil shim insert calculates optimal shim currents, eliminating extensive field mapping and reducing scanning time.

A radial k-space trajectory with a constant angular increment reduces eddy current-induced image artifacts while maintaining scanning efficiency.

The system segments fat signal extraction by executing separate acquisitions at different echo times, resolving limitations of single-voxel methods that assume only one fat type.

Transforming gradient waveforms based on imaging position and time constants cancels eddy current distortion, improving image quality without waiting times.

Quasi-simultaneous acquisition of free induction decay and stimulated echo signals enables rapid B1 mapping within a single repetition cycle.

A dynamic variable attenuator adjusts analog signal amplitude to preserve pulse shape integrity during magnetic resonance measurement.

Processing circuitry determines phase and amplitude correction values for transmit RF pulses based on imaging target position to correct magnetic field non-uniformity.

Retrospective gating selects stable thermal frames via image similarity measures, eliminating navigator requirements and improving alignment accuracy.

A sequence controller applies magnetization transfer pulses across a wide frequency band to acquire magnetic resonance signals for tissue analysis.

Shortening refocusing pulses and adapting gradient spoiler shapes reduces MRI acoustic noise without extending measurement time or degrading image quality.

Double half RF pulses segment excitation into two subpulses to suppress long T2 signals and reduce eddy current distortion in ultrashort echo time imaging.

An inclined magnetic axis minimizes charged particle beam deflection while preserving high field strength for simultaneous imaging.

Dynamic flip angle adjustment optimizes signal-to-noise ratio in multi-echo sequences, resolving trade-offs between image resolution and noise amplification.

Generalized SLIDER uses Hadamard encoding on RF excitation fields to resolve noise amplification from non-orthonormal bases in thick slab acquisitions.

A test method checks echo train positions in k-space to verify signal differences between adjacent elements.

Automatic coil configuration detection adapts measurement parameters, resolving the trade-off between precision and operational complexity.

A magnetic resonance imaging method generates residual maps to evaluate signal model consistency and optimize parameter fitting accuracy.

Opposite radial scanning generates correction coefficients that reduce phase distortion from gradient coil transient responses, improving measurement precision.

Decimation processing reduces phase correction data resolution to suppress swap events between water and fat regions, improving image accuracy.

Neural networks compensate for signal-to-noise ratio loss in accelerated Wave-CAIPIRINHA scans, enabling faster imaging with improved clarity.

An MR system compensation interface determines imperfection models from hardware parameters to generate compensated application data.

Reduces concomitant field degradation in simultaneous multi-slice acquisitions by calculating Maxwell correction gradient moments at an average slice position.

A data generation apparatus converts user operation instructions into internal hardware control signals for MRI simulators.

A total pulse superimposes layer-specific preparation pulses to acquire magnetic resonance data from multiple slices simultaneously.

A trained reconstruction model processes target k-space data to generate unaliased images for multiple slices.

An autoencoder neural network processes reference and style magnetic resonance images to generate target anatomical structures.

A computing device generates synthetic data sets using convolution kernels to reduce Nyquist ghost artifacts in MRI images.

Randomizing spoiler gradient areas after every M-th block reduces acquisition time by 20% while preventing image artifacts.

A randomized sampling method acquires MR data from undersampled k-space points using radial or spiral trajectories.