Measurements Using NMR Imaging Systems TRIZ Cases

A magnetic resonance apparatus selects coil modes by preparing sensitivity maps from candidate scan data to optimize imaging configurations.

Spoiler gradients applied during the wait phase eliminate FID and flow artifacts, preventing signal overlap without extending measurement time.

Optimized RF pulses encode phase differences between spin species without extending echo spacing, eliminating FID artifacts and reducing measurement time.

A magnetic resonance actuation sequence processor categorizes specified parameters to automatically determine boundary conditions for pulse properties.

An MRI apparatus detects anatomical regions using image data from a preliminary imaging process to set RF pulse application areas.

Goodness-of-fit field mapping corrects magnetic inhomogeneity to reduce MRI distortion and blurring near metallic implants.

Simultaneous slice excitation using multi-frequency RF pulses and periodic separation gradients resolves the trade-off between scan speed and image blur.

Convolutional neural networks detect water-fat swaps in Dixon MRI scans by generating cost maps that guide iterative voxel correction.

A customized MRI actuation sequence excites multiple slices simultaneously using distinct RF frequency bands and tailored pulse parameters.

Variable radial sampling rates in spiral k-space trajectories define spin echo signals for fast magnetic resonance imaging.

Simultaneous echo refocusing acquires calibration data via single-band pulses and shifted k-space signals to reduce motion artifacts.

Modulating data onto a radio-frequency carrier enables real-time transmission of safety and imaging signals without adding dedicated bus lines.

A machine learning module determines optimal configuration parameters for an RF transmit assembly in magnetic resonance imaging systems.

Magnetic resonance fingerprinting combines varied pulse sequences to quantify abdominal tissue properties while minimizing motion artifacts.

Dynamic nonlinear magnetic gradients impose unique phase signals on pixels to enable single-echo spatial localization.

Spectral separation of measurement signals during readout resolves aliasing from overlapping echoes, enabling parallel acquisition of up to nine slices.

A two-stage magnetic resonance sequence acquires basic material parameter values before applying a refined acquisition to specific regions.

Crossing J-pole radiation sections decouple antennas without attenuating materials, improving MR-PET/SPECT sensitivity and image resolution.

Cluster analysis allocates MR imaging signals to movement states, resolving conflicts between diagnostic sequence compatibility and accurate motion tracking.

Automated analysis of magnetic resonance sequences identifies fixed and optimizable time intervals to adjust gradient switching timing.

A magnetic resonance controller synchronizes components using a deterministic PCIe bus interface.

Judging unit analyzes reception intensity distributions to select effective coil elements for magnetic resonance imaging.

Inversion recovery pulses suppress fat and on-resonant water signals to enhance magnetic susceptibility gradients in MRI.

A magnetic resonance imaging apparatus applies local weighting coefficients to regularization terms during image reconstruction.

Synergized pulsing-imaging network circuitry iteratively adjusts pulse sequence parameters and reconstruction networks using loss functions.

Processing circuitry converts dynamic MR signal values to standardized index values using calibration factors derived from imaging conditions.

Dynamic gradient modulation enables ultra-short echo time recording in magnetic resonance systems.

Gradient images from sub-sampled k-space detect patient motion in MR imaging without extra navigators.

Segmented inversion recovery with local quality timing suppresses fat signals to resolve visibility trade-offs in T1-weighted imaging.

A multi-resolution pyramidal structure estimates magnetic resonance field maps using golden section searches.

Suspension system with adjustable coupling parameters shifts antenna natural frequencies out of relevant ranges to minimize image artifacts and acoustic noise.

Combining multiple MRI data acquisitions using different RF pulse transmission conditions to reconstruct images with uniform signal intensity.

Segmenting central k-space lines during peak arterial enhancement reduces scan times while maintaining diagnostic image quality for vascular structures.

Single gamma-ray detectors fill gaps in a partial-ring PET device, reducing projection angle loss and image artifacts during MRI integration.

A magnetic resonance imaging apparatus executes automatic serial examination flows using stored data to streamline positioning and post-processing operations.

Varying the slice acquisition sequence within acquisition blocks ensures uniform fat saturation, resolving uneven signal intensity caused by fixed ordering.

An adiabatic preparation pulse inverts longitudinal magnetization to establish a steady state before magnetic resonance data recording.

Segments preparatory scan commands into fixed and indeterminate durations to predict noise onset, reducing image artifacts from unexpected loud noises.

Differential magnetic susceptibility mapping computes tissue properties directly from measured fields without background subtraction.

Parallel transmission coil arrays apply distinct RF excitations to enhance signal orthogonality, reducing aliasing artifacts from under-sampled data.

Segmented PROPELLER blades with preliminary phase correction resolve fat blurring and field inhomogeneity artefacts while maintaining scan speed.

An MRI excitation pulse sequence applies an inversion pulse between sub pulses to manage longitudinal magnetization.

A dual neural network pipeline separates external interference from internal sources to resolve the ill-posed QSM inverse problem.

Iterative weighted fitting determines shim coefficients, containing phase unwrapping errors to improve magnetic field uniformity.

Segmented acquisition minimizes unsampled k-space regions, reducing ringing artifacts in MR images.

Accelerated iterative magnetic resonance fingerprinting uses compressed dictionaries and k-d tree search to locate fingerprints efficiently.

Singular Value Decomposition compresses the magnetic resonance fingerprint dictionary to accelerate iterative reconstruction.

A Kalman-like filtering process removes electromagnetic interference from magnetic resonance images using reference coil data.

Segmenting imaging planes across multiple frequency channels resolves the signal-to-noise ratio versus imaging speed contradiction.

A cardiac MRI method applies magnetization transfer contrast pulses to generate diagnostic image data during consecutive heartbeats.