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Quantitative T*2-mapping based on multi-slice multiple gradient echo flash imaging: retrospective correction for

Joerg Magerkurth1, Steffen Volz, Marlies Wagner

  • 1Brain Imaging Center, Goethe University Frankfurt am Main, Frankfurt am Main, Germany. magerkurth@physik.uni-frankfurt.de

Magnetic Resonance in Medicine
|March 8, 2011
PubMed
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This study introduces a motion correction method for quantitative T*(2) mapping in MRI. The technique uses weighted averaging of data acquired at different resolutions to improve accuracy, especially for sparse motion.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • Quantitative mapping of effective transverse relaxation time T*(2) is crucial for various clinical and research applications.
  • Subject motion during MRI acquisition significantly degrades the quality and accuracy of T*(2) maps.
  • Existing methods struggle to effectively mitigate motion artifacts in T*(2) mapping.

Purpose of the Study:

  • To develop and present a novel motion correction method for T*(2) maps acquired using multi-slice multiple gradient echo FLASH imaging.
  • To improve the accuracy and reliability of quantitative T*(2) mapping in the presence of subject motion.
  • To offer a practical solution deployable on standard clinical MRI systems.

Main Methods:

  • A correction method based on acquisition repetition with reduced spatial resolution and weighted averaging of data sets.

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  • Individual weighting factors for each k-space line are determined to minimize motion influence.
  • A target data set is constructed by selecting the best correlated data from two acquisitions, approximating its k-space representation using a linear combination of raw data.

    • Main Results:

    • The proposed method effectively corrects for sparse motion artifacts in T*(2) maps.
    • Experimental results demonstrate successful application of the method on clinical systems with suitable sequences.
    • The method's limitations include failure in cases of strong motion affecting identical k-space lines in both acquisitions.

    Conclusions:

    • The presented weighted averaging technique offers a viable approach for motion correction in quantitative T*(2) mapping.
    • The method is efficient, requiring only a single repetition with reduced resolution, making it clinically applicable.
    • Further development may be needed to address limitations related to severe motion artifacts.