Measurements Using NMR Imaging Systems TRIZ Cases

A unipolar fast spin echo pulse sequence maintains constant residual magnetization through consistent gradient polarity.

A combined correlation approach averages multiple dictionary entry votes to estimate NMR relaxation parameters, resolving ambiguities from homogeneous entries.

Dynamic charge redistribution optimizes RF power amplifier usage, preventing energy depletion during high-demand imaging sequences.

A Dixon-type MR imaging method uses unipolar single-echo readouts at low bandwidth and bipolar dual-echo readouts at high bandwidth to separate water and fat signals.

Segmenting motion parameter estimation via a preliminary scout scan reduces computational complexity and stabilizes image reconstruction.

GRAPPA and MARTINI algorithms reconstruct undersampled magnetic resonance data into parameter maps.

Frequency response correction normalizes magnetic resonance data using prescan measurements to ensure consistent brightness across the imaging field.

A magnetic resonance preview image generation method uses segmented k-space sampling to produce rapid initial images for immediate operator assessment.

Segmenting scout scans into rapid shots decouples motion guidance from main image acquisition, reducing computational costs and maintaining image quality.

Machine-trained network reconstructs fingerprint images and estimates tissue parameters using separate denoising and regression components.

Region growing algorithm performs automatic cine DENSE strain analysis using spatiotemporal linear prediction to resolve phase wrapping issues.

Segmenting k-space into distinct sampling zones reduces echo time and artifacts while maintaining signal-to-noise ratio in diffusion-weighted imaging.

An integrated metal detector unit and MR radio frequency antenna device detects implants to select optimized pulse sequences.

A medical imaging system reconstructs field maps by combining B0 reference scan data with limited water saturation sample points.

A steady-state echo MRI method uses low-flip-angle RF pulse trains to acquire refocusing echoes without explicit refocusing pulses.

An MRI assembly uses RF coils to generate electromagnetic field patterns for noninvasive tissue characterization.

Interleaved low and high resolution k space scan data generates tissue property maps while reducing extended magnetic resonance acquisition times.

Interleaved shim data acquisition updates magnetic field homogeneity during image capture, reducing total scan time and motion artifacts.

A Look-Locker MRI method calculates longitudinal relaxation time using segmented pulse sequences.

Encoding matrix models all MRI system components to compress data and reconstruct high-quality images in minutes.

Upsampled phase map demodulates gradient echo k-space data iteratively, reducing signal voids from B0 field inhomogeneities.

Combining response signals from different flip angles retrieves amplitude and phase information, reducing scanning time while improving signal-to-noise ratio.

Partition-dependent correction data compensates for gradient delay effects in magnetic resonance imaging.

A compact circuit arrangement corrects input signals using active rectification and summing amplifiers to restore useful signal integrity.

Segmenting gradient coils and relocating connections reduces eddy currents induced in medical devices placed within the open MRI gap.

Parametric waveform models generate optimal diffusion encoding gradients using closed-form expressions, resolving motion compensation trade-offs.

Parallel transmission RF pulses decompose saturation energy into sub-pulses across multiple frequencies to minimize local specific absorption rate.

A magnetic resonance imaging apparatus calculates static field corrections to correct collected MR image distortions.

A deep neural network predicts RF pulse parameters to minimize magnetization errors and distortions in MRI imaging.

Adjustable magnetic moment densities in secondary field sources compensate for B0 distortions.

A magnetic resonance apparatus selects diffusion gradient vectors from a cuboid-spherical shell intersection to generate trace-weighted images.

A handheld diagnostic interface module monitors MRI coil electrical conditions to enable remote data transmission.

A magnetic resonance facility determines acquisition parameters using alignment result data to optimize image quality.

A radio-frequency pulse with defined spectral frequency distribution optimizes nuclear spin excitation.

A deep learning model reconstructs parametric maps directly from subsampled Multiplex MRI data.

Pre-emphasized gradient pulses compensate magnetic field deviations in MRI systems.

Joint optimization of sampling patterns and reconstruction operations across contrasts reduces acquisition time while maintaining high image quality.

A computer calculates composite magnetic material volume distributions on shim trays to adjust magnetic field homogeneity.

Interleaved flow-sensitive dephasing applies toggled unipolar gradient pulses to suppress blood flow artifacts in magnetic resonance imaging.

Permanent magnet gradients encode spatial information directly, resolving coil complexity and acquisition time trade-offs.

Localizing measurements select examination regions for targeted system parameter adjustment, resolving inefficiencies from volume-wide averaging.

A method checks MRI antenna coil detuning devices by comparing received signals before and after activation to verify operational status.

Timing control units shift nuclear imaging clock frequencies or phases to move interference outside the MR sensitive bandwidth, preserving image quality.

An RF coil storage device acquires index signals from placed coils to determine presence or failure status.

An object-based initialization method estimates magnetic field inhomogeneity using susceptibility distributions to improve chemical species separation accuracy.

Plastic waveguides eliminate electromagnetic interference artifacts while reducing cable weight and system costs compared to fiber optics.

A segmented reference measurement acquisition strategy enables accurate single-slice data separation in simultaneous multi-slice magnetic resonance imaging.

Pre-distorting slice-selection gradients via transfer functions compensates field deviations, preventing image artifacts during non-constant pulse sequences.

A noise decorrelation matrix preserves original channel sensitivity and phase characteristics in magnetic resonance imaging systems.