A method for calibrating diffusion gradients in diffusion tensor imaging

Yu Chien Wu, Andrew L. Alexander

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

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. CONCLUSION: 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.

Original languageEnglish (US)
Pages (from-to)984-993
Number of pages10
JournalJournal of Computer Assisted Tomography
Volume31
Issue number6
DOIs
StatePublished - Nov 2007

Keywords

  • Background gradient
  • Diffusion tensor imaging
  • Gradient calibration
  • Imaging gradient
  • Residual gradient

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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