A method for improving the performance of gradient systems for diffusion‐weighted MRI
Open Access
- 26 September 2007
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 58 (4) , 763-768
- https://doi.org/10.1002/mrm.21379
Abstract
The MR signal is sensitive to diffusion. This effect can be increased by the use of large, balanced bipolar gradients. The gradient systems of MR scanners are calibrated at installation and during regular servicing visits. Because the measured apparent diffusion constant (ADC) depends on the square of the amplitude of the diffusion sensitizing gradients, errors in the gradient calibration are exaggerated. If the error is varying among the different gradient axes, it will affect the estimated degree of anisotropy. To assess the gradient calibration accuracy in a whole‐body MRI scanner, ADC values were calculated for a uniform water phantom along each gradient direction while monitoring the temperature. Knowledge of the temperature allows the expected diffusion constant of water to be calculated independent of the MRI measurement. It was found that the gradient axes (±x, ±y, ±z) were calibrated differently, resulting in offset ADC values. A method is presented to rescale the amplitude of each of the six principal gradient axes within the MR pulse sequence. The scaling factor is the square root of the ratio of the expected and observed diffusion constants. In addition, fiber tracking results in the human brain were noticeably affected by improving the gradient system calibration. Magn Reson Med 58:763–768, 2007.Keywords
This publication has 17 references indexed in Scilit:
- Artifacts and pitfalls in diffusion MRIJournal of Magnetic Resonance Imaging, 2006
- A complete distortion correction for MR images: I. Gradient warp correctionPhysics in Medicine & Biology, 2005
- Geometric distortion in clinical MRI systems: Part I: evaluation using a 3D phantomMagnetic Resonance Imaging, 2004
- Use of spherical harmonic deconvolution methods to compensate for nonlinear gradient effects on MRI imagesMagnetic Resonance in Medicine, 2004
- A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurementsJournal of Magnetic Resonance Imaging, 2003
- Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echoMagnetic Resonance in Medicine, 2002
- A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPINeuroImage, 2002
- The b matrix in diffusion tensor echo‐planar imagingMagnetic Resonance in Medicine, 1997
- Self-diffusion in normal and heavy water in the range 1-45.deg.The Journal of Physical Chemistry, 1973
- Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance ExperimentsPhysical Review B, 1954