Wang et al., 2023 - Google Patents
Diffusion‐weighted imaging of the abdomen: correction for gradient nonlinearity bias in apparent diffusion coefficientWang et al., 2023
- Document ID
- 11065698194057745598
- Author
- Wang J
- Ma C
- Yang P
- Wang Z
- Chen Y
- Bian Y
- Shao C
- Lu J
- Publication year
- Publication venue
- Journal of Magnetic Resonance Imaging
External Links
Snippet
Background Gradient nonlinearity (GNL) introduces spatial nonuniformity bias in apparent diffusion coefficient (ADC) measurements, especially at large offsets from the magnet isocenter. Purpose To investigate the effects of GNL in abdominal ADC measurements and …
- 238000012937 correction 0 title abstract description 74
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/565—Correction of image distortions, e.g. due to magnetic field inhomogeneities
- G01R33/56518—Correction of image distortions, e.g. due to magnetic field inhomogeneities due to eddy currents, e.g. caused by switching of the gradient magnetic field
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/56341—Diffusion imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/28—Details of apparatus provided for in groups G01R33/44 - G01R33/64
- G01R33/38—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
- G01R33/387—Compensation of inhomogeneities
- G01R33/3873—Compensation of inhomogeneities using ferromagnetic bodies; Passive shimming
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/483—NMR imaging systems with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/58—Calibration of imaging systems, e.g. using test probes, Phantoms; Calibration objects or fiducial markers such as active or passive RF coils surrounding an MR active material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/28—Details of apparatus provided for in groups G01R33/44 - G01R33/64
- G01R33/38—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
- G01R33/381—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using electromagnets
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/28—Details of apparatus provided for in groups G01R33/44 - G01R33/64
- G01R33/38—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
- G01R33/385—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils
- G01R33/3856—Means for cooling the gradient coils or thermal shielding of the gradient coils
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/46—NMR spectroscopy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Newitt et al. | Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial | |
| Froeling et al. | “MASSIVE” brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation | |
| Windschuh et al. | Correction of B1‐inhomogeneities for relaxation‐compensated CEST imaging at 7 T | |
| Sorace et al. | Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting | |
| Ginn et al. | Characterization of spatial distortion in a 0.35 T MRI-guided radiotherapy system | |
| Schwartz et al. | Multisite reliability and repeatability of an advanced brain MRI protocol | |
| Singh et al. | Evaluating the feasibility of creatine‐weighted CEST MRI in human brain at 7 T using a Z‐spectral fitting approach | |
| Wang et al. | Diffusion‐weighted imaging of the abdomen: correction for gradient nonlinearity bias in apparent diffusion coefficient | |
| Fedeli et al. | Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position–A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging | |
| Hock et al. | Electrocardiogram‐triggered, higher order, projection‐based B0 shimming allows for fast and reproducible shim convergence in spinal cord 1H MRS | |
| Riemer et al. | Measuring tissue sodium concentration: cross‐vendor repeatability and reproducibility of 23Na‐MRI across two sites | |
| Lewis et al. | Evaluation of diffusion‐weighted MRI and geometric distortion on a 0.35 T MR‐LINAC at multiple gantry angles | |
| Wood et al. | Reproducibility and optimization of in vivo human diffusion‐weighted MRS of the corpus callosum at 3T and 7T | |
| Tao et al. | Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction | |
| Liao et al. | Correlation of quantitative conductivity mapping and total tissue sodium concentration at 3T/4T | |
| Wyatt et al. | Evaluating the repeatability and set-up sensitivity of a large field of view distortion phantom and software for magnetic resonance-only radiotherapy | |
| Yuan et al. | Quantitative assessment of acquisition imaging parameters on MRI radiomics features: a prospective anthropomorphic phantom study using a 3D-T2W-TSE sequence for MR-guided-radiotherapy | |
| Felder et al. | 9.4 T small animal MRI using clinical components for direct translational studies | |
| Moutsatsos et al. | Assessment and characterization of the total geometric uncertainty in Gamma Knife radiosurgery using polymer gels | |
| Nousiainen et al. | Measuring geometric accuracy in magnetic resonance imaging with 3D-printed phantom and nonrigid image registration | |
| Kwiatkowski et al. | Accelerating CEST MRI in the mouse brain at 9.4 T by exploiting sparsity in the Z‐spectrum domain | |
| In et al. | PSF mapping‐based correction of eddy‐current‐induced distortions in diffusion‐weighted echo‐planar imaging | |
| Compter et al. | Technical feasibility of integrating 7 T anatomical MRI in image-guided radiotherapy of glioblastoma: a preparatory study | |
| Johnson et al. | Three‐dimensional GRE T1ρ mapping of the brain using tailored variable flip‐angle scheduling | |
| Tavares et al. | An image correction protocol to reduce distortion for 3-T stereotactic MRI |