A method for calibrating diffusion gradients in diffusion tensor imaging.
OBJECTIVE
To calibrate and correct the gradient errors including gradient amplitude scaling errors, background/imaging gradients, and residual gradients in diffusion tensor imaging (DTI).


METHODS
A calibration protocol using an isotropic phantom was proposed. Gradient errors were estimated by using linear regression analyses on quadratic functions of diffusion gradients along 3 orthogonal directions. A 6-element total effective scaling vector is generated from the calibration protocol to retrospectively correct gradient errors in DTI experiments.


RESULTS
The accuracy of the calibration protocol was within 1% or less in estimating gradient scaling errors. On both the brain study and the computer simulations, the retrospective correction minimized undesirable estimate biases of DTI measurements due to gradient errors.


CONCLUSIONS
The protocol and retrospective correction are shown to be effective. The method may be used for prospective correction if actual diffusion-gradient waveforms are available. The methodology is expandable to general diffusion imaging schemes.
Wu
Yu-Chien
YC
Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA. yuchienwu@wisc.edu
Alexander
Andrew L
AL
D000465:Algorithms; D016880:Anisotropy; D001921:Brain / Q000033:anatomy & histology; D002138:Calibration; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging / Q000706:statistics & numerical data*; D017352:Echo-Planar Imaging / Q000706:statistics & numerical data; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D016014:Linear Models; D008962:Models, Theoretical; D009010:Monte Carlo Method; D019047:Phantoms, Imaging