Measurements Using NMR Imaging Systems TRIZ Cases

Dividing k-space lines into separate sections reduces repetition time and minimizes banding artifacts caused by field inhomogeneities.

Self-justification fitting logic selectively excludes compromised data points from NMR signals to improve quantification accuracy.

Balanced slice-selective gradients shift field of view during readout to eliminate aliasing artifacts and noise amplification in multiband MRI.

A magnetic resonance pulse sequence coordinates inversion and saturation pulses to rapidly sample relaxation curves.

Deep learning models reconstruct undersampled MRI data to reduce acquisition time while preserving image sharpness.

Segmented dictionaries and preliminary classification reduce computational burden while controlling partial volume effects in MRI.

Automated pulse repositioning corrects slice image positions during breathing motion, reducing operator intervention time.

A blank window captures background field phase before gradient application to calibrate k-space trajectories.

Velocity encoding gradients acquire spatial frequency data to create motion-corrected magnetic resonance images.

A magnetic resonance apparatus limits B1 fields by monitoring RF amplifier voltage and current.

Slice-specific B0 shimming corrects field inhomogeneity to resolve spectral overlap between lipid and water resonances.

Asymmetric k-space sampling with phase conjugate symmetry fills non-sampling regions, resolving short TE phase estimation errors.

Differentiated RF pulse shaping corrects edge artifacts in short-bore scanners by compensating magnetic field inhomogeneity without increasing scan time.

Dynamic timing buffers prevent maximum RF output exceedance during rapid heartbeats, ensuring sequence completion and data quality in cardio MRI measurements.

An MRI apparatus segments k-space trajectories to acquire echo signals with varying echo times, improving spatial resolution through high-intensity gradient fields.

Adaptive coil combination suppresses out-of-view artifacts in magnetic resonance fingerprinting data, improving image quality and parameter estimation accuracy.

Digital algorithms separate linear body noise from circular MRI signals using quadrature antennas to enhance signal-to-noise ratio.

Equivalent circuit modeling predicts gradient coil current consumption before execution, preventing power limit exceedance while optimizing imaging performance.

A medical imaging control computer generates sub-sequence signals based on current ambient conditions to manipulate magnetization in multiple subvolumes.

Segmenting monitoring into two independent protect paths reduces control path complexity while mitigating patient hazards from gradient fields.

Tensor field mapping solves inverse problems for 3D voxel parameters, improving signal-to-noise ratio and reducing data acquisition time.

An ex-vivo MRI system with a specialized tissue container and coil assembly enables rapid margin assessment.

Concurrent multi-slice RF excitation acquires T1 map image data, resolving the trade-off between imaging speed and signal-to-noise ratio.

Superfast CEST spectral imaging encodes frequency offsets via gradient fields during saturation to acquire metabolite data.

Multi-echo gradient echo k-space data reconstructs intermediate magnetic resonance images with CT-like bone contrast.

A Dixon-type MR imaging method using bipolar readout gradients to separate water and fat signals through modified single-echo image processing.

Undersampled k-space acquisition with iterative reconstruction generates time-resolved magnetic resonance images.

Pseudo-random undersampling patterns accelerate magnetic resonance data acquisition.

Curve fitting adjusts inversion efficiency parameters to correct incomplete magnetization, improving T1 distribution image accuracy.

Segmenting RF pulses into alternating segments allows simultaneous excitation and detection, overcoming slow CW NMR rates while maintaining signal stability.

Dual saturation bands enable subtraction of low-resolution images to suppress background signals in time-of-flight magnetic resonance angiography.

Interleaved STEAM sequences reduce B1 inhomogeneity artifacts while maintaining high field strength advantages.

Gradient-modulated PETRA MRI segments k-space sampling to reduce off-resonance blurring while lowering peak RF power and SAR constraints.

A radial k-space trajectory uses prime number quotients to determine constant angular increments between adjacent spokes.

Tailored multi-band RF pulses isolate magnetization transfer effects to enable reproducible quantitative T1 and T2 maps without complex multi-pool modeling.

Processing circuitry selects a specific area within the field of view to determine tailored RF pulse levels for accurate signal acquisition.

Assigning pulse space coordinates to phase-encoded axes simplifies gradient moment determination for segmented multi-slice imaging.

A magnetic resonance imaging pulse sequence uses refocusing pulses with decreasing flip angles to accelerate longitudinal magnetization recovery.

Estimates and regularizes noise covariance matrices on a per-voxel basis to resolve artifacts from spatially varying noise in accelerated parallel imaging.

Segmenting examination regions allows independent scan parameter determination for each subregion.

Alternating resting state functional and morphological magnetic resonance imaging sequences halves measurement time while maintaining data quality.

An electrical resonant circuit model simulates coil vibration to block damaging currents.

Multi-echo MRI sequences share outer k-space data lines from different delays, reducing scan time without compromising contrast or resolution.

RF phase detection automates coil landmarking, eliminating cumbersome mechanical alignment tools and reducing operator intervention during setup.

A digital SQUID receiver array digitizes radio-frequency signals directly to enable parallel data acquisition across multiple spatial locations.

A turbo spin echo reference scan replaces gradient echo sequences in simultaneous multislice magnetic resonance imaging to acquire accurate sensitivity maps.

Sequential inversion recovery pulses acquire multiple image contrasts in one scan, reducing total acquisition time from 23 minutes to 15 minutes.

An MRI apparatus calculates phase shift amounts using look-up tables to correct refocusing pulse phases during fast spin echo imaging.

An unsupervised deep learning model replaces iterative calibration scans to reduce exam time while maintaining high-resolution image quality.