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Joint 2D and 3D phase processing for quantitative susceptibility mapping: application to 2D echo-planar imaging.

Hongjiang Wei1, Yuyao Zhang1, Eric Gibbs1

  • 1Brain Imaging and Analysis Center, Duke University, Durham, NC, USA.

NMR in Biomedicine
|February 19, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a faster method for quantitative susceptibility mapping (QSM) using 2D EPI MRI. The new technique achieves QSM results comparable to slower 3D methods, improving efficiency in neuroimaging.

Keywords:
2D Laplacian phase unwrapping2D background phase removal3D background phase removalfunctional QSMquantitative susceptibility mapping

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging
  • Biophysics

Background:

  • Quantitative susceptibility mapping (QSM) traditionally uses time-intensive 3D gradient-echo (GRE) MRI.
  • Two-dimensional (2D) multi-slice GRE echo-planar imaging (GRE-EPI) offers faster data acquisition but faces challenges with phase inconsistencies and field gradients.
  • High-quality QSM is crucial for assessing tissue magnetic susceptibility in various neurological conditions.

Purpose of the Study:

  • To develop and validate a novel 2D EPI-based QSM processing technique that overcomes limitations of existing methods.
  • To enable faster and more efficient QSM acquisition without compromising quantitative accuracy.
  • To integrate 2D and 3D phase processing for improved QSM reconstruction from 2D EPI data.

Main Methods:

  • A new data processing procedure integrating 2D and 3D phase processing was developed.
  • 2D Laplacian-based phase unwrapping and background phase removal were applied to address inter-slice inconsistencies.
  • 3D background phase removal was used for through-plane harmonic components.
  • The method was evaluated using 2D EPI data from healthy volunteers and compared to conventional 3D GRE QSM.

Main Results:

  • The proposed 2D EPI QSM technique produced quantitative susceptibility measures comparable to conventional 3D GRE-based QSM.
  • Results were consistent across various brain regions, including iron-rich gray matter and cortical gray and white matter.
  • The new method demonstrated high accuracy and reliability for QSM reconstruction.

Conclusions:

  • The developed 2D EPI-based QSM processing method significantly reduces scan times while maintaining quantitative accuracy.
  • This technique offers a viable alternative to traditional 3D GRE QSM, enhancing efficiency in neuroimaging applications.
  • The implementation within STI Suite provides a comprehensive tool for susceptibility imaging and quantification.