Measurements Using NMR Imaging Systems TRIZ Cases

Separating simultaneous multi-slice navigator signals into single-slice components corrects N/2 ghosts and drift without requiring additional reference scans.

A sparse Hessian model approximates time domain magnetic resonance signals to determine tissue parameter distributions.

The MRI system optimizes flip angle sweep patterns within a single scan to acquire T1 and T2 weighted images simultaneously, reducing total imaging time.

A frequency-modulated balanced steady-state free precession sequence separates water and fat pixels using regional phase correction.

Generate attenuation maps from magnetic resonance scan data to correct emission tomography images.

A spoiler gradient pulse adaptation processor calculates implicit spoil moments to control diffusion imaging sequences.

Offset frequency RF pulses refocus spins near metal implants, reducing distortion and signal loss without extending scan time.

Segmenting k-space acquisition into transition and steady state periods reduces imaging time while maintaining image contrast quality in MRI systems.

Regression analysis corrects ultrahigh field MRI inaccuracies by transferring knowledge from slow ground truth measurements to fast FLASH imaging data.

Applying computed RF amplitude scaling factors corrects non-uniform transmit power responses across varying frequencies and magnetic field strengths.

Parallel conductors in flexible MRI coils reduce antenna resistance and improve the quality factor for better signal detection.

A multi-slice STEAM pulse sequence switches between excitation and readout modules to accelerate magnetic resonance imaging.

Order MRI projections using Coulomb repulsion to achieve uniform k-space sampling, reducing signal bunching in multi-echo trajectories.

Dual field movement sensors detect patient motion in MRI units, eliminating preparation time for optical markers.

A control computer simulates imaging sequences to verify maximum RF output and gradient performance before data acquisition.

Processing circuitry calculates drain voltage and junction temperature to adjust MRI imaging parameters.

Multichannel MRI systems estimate coil sensitivity data from acquired signals to correct image non-uniformities.

Cramer-Rao bound configures MRF acquisition parameters to optimize signal-to-noise efficiency.

Differential gradient polarity in MAVRIC and SEMAC limits off-resonant signal back-folding near metal implants.

Phase flattening algorithms applied to SWIFT-MRI imaginary components eliminate susceptibility artifacts for accurate particle quantification.

A modified fast spin echo pulse sequence uses variable flip angles to accelerate longitudinal magnetization recovery.

An MRI phantom maintains constant internal temperature using a thermally controlled fluid reservoir to stabilize sample conditions.

Segmented RF pulse flip angles reduce B1 inhomogeneity sensitivity to improve MRI image quality.

A magnetic resonance fingerprinting dictionary uses quadratic inner product approximation to reduce storage requirements.

Adjusting echo train length and total phase coding steps to a whole number multiple eliminates incomplete k-space coverage in the final echo train.

An electrically-controlled switch with variable impedance manages RF current flow in MRI transmit-and-receive coil assemblies.

A magnetic resonance system retrieves a pre-stored point spread function from a database to reconstruct image data.

Alternating readout gradients capture in-phase and opposed-phase signals within a single echo train, reducing measuring duration and motion artifacts.

Converting harmful magnetic field inhomogeneities into useful encoding parameters reduces scan time while maintaining diagnostic accuracy.

A computer model predicts magnetic field deviations in MRI gradient coils to generate a distortion map for image unwarping.

Adjusting refocusing pulse slice thickness in MRI systems to enhance cerebrospinal fluid visibility.

Variable density incoherent spatiotemporal acquisition distributes samples across k-space using gradient descent optimization.

Automated test scans assess fat suppression before main imaging, eliminating re-scans and reducing operator intervention.

Robust principal component analysis separates on-resonance and off-resonance signals in 3D multispectral MRI to accelerate image reconstruction.

Integrating dedicated MR components into an organ holding container allows rapid metabolic ratio analysis to replace subjective visual inspection.

A pulse sequence analysis apparatus marks points of interest on a display for intuitive editing.

Pre-dephase gradient magnetic fields before signal acquisition to correct switching lag in ultrashort echo time sequences.

Segmented magnets and RF coils create homogeneous fields for accurate fluid characterization without high power consumption.

A three-dimensional spatiotemporal convolutional neural network processes phase-contrast MRI data to generate corrected velocity maps.

Segmented k-space acquisition reduces calibration recording time while maintaining geometrical distortion matching in echo planar imaging.

Confidence maps distinguish valid from invalid PDFF and R2* estimates, resolving low signal-to-noise ratio issues in magnetic resonance imaging.

Modified DANTE pulse trains suppress flowing spins while preserving static tissue signals through unbalanced steady-state free precession.

Integrated MRI acquisition extracts water-fat separation and tissue stiffness from one dataset, eliminating motion misregistration caused by sequential scans.

Adaptive fitting separates fat signal influence to enable accurate cross-platform PDFF and iron quantification without vendor-specific constraints.

A magnetic resonance imaging apparatus acquires signals across distinct frequency regions using separate saturation pulse sequences.

Segmented active resistive shim coils energized by separate power channels generate independent magnetic field harmonics to correct imaging volume inhomogeneities.

Multi-echo fast spin-echo pulse sequence acquires multiple echoes during a single breath-hold period to measure proton transverse relaxation rates.

Cascaded regularization and deepsets networks estimate MRI coil sensitivity maps from subsampled data.

Acquiring MR data along radial k-space spokes with echo times greater than 1 ms lowers gradient slew rates, reducing scanner loudness to under 75 dB.

Deriving a linear relationship between DESS echoes ignores higher-order pathways, reducing computational complexity while maintaining T2 estimation accuracy.