Improving the correction of eddy current-induced distortion in diffusion-weighted images by excluding signals from the cerebral spinal fluid

Wei Liu, Xiaozheng Liu, Guang Yang, Zhenyu Zhou, Yongdi Zhou, Gengying Li, Marc Dubin, Ravi Bansal, Bradley S. Peterson, Dongrong Xu

Research output: Contribution to journalArticlepeer-review

Abstract

Iterative cross-correlation (ICC) is the most popularly used schema for correcting eddy current (EC)-induced distortion in diffusion-weighted imaging data, however, it cannot process data acquired at high b-values. We analyzed the error sources and affecting factors in parameter estimation, and propose an efficient algorithm by expanding the ICC framework with a number of techniques: (1) pattern recognition for excluding brain ventricles; (2) ICC with the extracted ventricle for parameter initialization; (3) gradient-based entropy correlation coefficient (GECC) for optimal and finer registration. Experiments demonstrated that our method is robust with high accuracy and error tolerance, and outperforms other ICC-family algorithms and popular approaches currently in use.

Original languageEnglish (US)
Pages (from-to)542-551
Number of pages10
JournalComputerized Medical Imaging and Graphics
Volume36
Issue number7
DOIs
StatePublished - Oct 2012

Keywords

  • Diffusion tensor imaging
  • Diffusion weighted imaging
  • Distortion correction
  • Eddy current
  • Iterative cross-correlation
  • Mutual information

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Health Informatics
  • Radiological and Ultrasound Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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