Motion-induced phase error estimation and correction in 3D diffusion tensor imaging

Anh T. Van, Diego Hernando, Bradley P. Sutton

Research output: Contribution to journalArticlepeer-review

Abstract

A multishot data acquisition strategy is one way to mitigate B0 distortion and T2* blurring for high-resolution diffusion-weighted magnetic resonance imaging experiments. However, different object motions that take place during different shots cause phase inconsistencies in the data, leading to significant image artifacts. This work proposes a maximum likelihood estimation and k-space correction of motion-induced phase errors in 3D multishot diffusion tensor imaging. The proposed error estimation is robust, unbiased, and approaches the Cramer-Rao lower bound. For rigid body motion, the proposed correction effectively removes motion-induced phase errors regardless of the k-space trajectory used and gives comparable performance to the more computationally expensive 3D iterative nonlinear phase error correction method. The method has been extended to handle multichannel data collected using phased-array coils. Simulation and in vivo data are shown to demonstrate the performance of the method.

Original languageEnglish (US)
Article number5783934
Pages (from-to)1933-1940
Number of pages8
JournalIEEE transactions on medical imaging
Volume30
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • 3D diffusion tensor imaging
  • Cramer-Rao bound
  • motion-induced phase errors
  • multishot acquisition
  • multislab acquisition
  • parallel imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

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