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Related Experiment Videos

Reconstruction in image space using basis functions for partially parallel imaging.

Yu Li1, Sathya Vijayakumar, Feng Huang

  • 1Invivo Corporation, Gainesville, FL 32608, USA. yli@invivocorp.com

Magnetic Resonance Imaging
|December 7, 2007
PubMed
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A new method called Reconstruction in Image space using Basis functions (RIB) reconstructs images from undersampled data in partially parallel imaging (PPI). RIB offers comparable performance to GRAPPA, with potential benefits in efficiency and artifact reduction.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction
  • Medical Physics

Background:

  • Partially parallel imaging (PPI) is crucial for accelerating MRI acquisition.
  • Existing reconstruction methods like GRAPPA have limitations in certain applications.
  • The need for efficient and artifact-free image reconstruction persists.

Purpose of the Study:

  • To introduce and theoretically describe a novel reconstruction technique for PPI: Reconstruction in Image space using Basis functions (RIB).
  • To compare the performance of RIB against the established GRAPPA method.
  • To explore the advantages of RIB in various MRI applications.

Main Methods:

  • Developed the general theory of RIB, representing PPI reconstruction as a weighted summation of aliased images.

Related Experiment Videos

  • Approximated unaliasing coefficients using linear combinations of basis functions.
  • Applied and evaluated RIB in several MRI scenarios, including cardiac and prostate imaging.

    • Main Results:

    • Demonstrated that RIB achieves performance comparable to GRAPPA.
    • Observed that RIB can enhance reconstruction efficiency.
    • Showcased RIB's ability to suppress artifacts and improve noise uniformity.

    Conclusions:

    • RIB provides a viable and effective alternative for partially parallel imaging reconstruction.
    • RIB exhibits advantages in specific MRI applications, particularly those requiring large fields of view.
    • The technique shows promise for specialized imaging like cardiac and prostate MRI.