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Inherently self-calibrating non-Cartesian parallel imaging.

Ernest N Yeh1, Matthias Stuber, Charles A McKenzie

  • 1Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02215, USA.

Magnetic Resonance in Medicine
|June 22, 2005
PubMed
Summary
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Self-calibrating parallel magnetic resonance imaging (MRI) with spiral and radial trajectories eliminates calibration scans. This method extracts coil sensitivity maps from central k-space data, improving accelerated acquisitions.

Area of Science:

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

Background:

  • Parallel MRI accelerates image acquisition by using multiple receiver coils.
  • Traditional parallel MRI requires separate coil sensitivity calibration scans.
  • Calibration scans can introduce mismatches due to patient motion, affecting image quality.

Purpose of the Study:

  • To demonstrate the feasibility of self-calibrating spiral and radial parallel MRI.
  • To eliminate the need for explicit coil sensitivity calibration scans.
  • To leverage inherent self-calibrating properties of non-Cartesian trajectories.

Main Methods:

  • Utilized spiral and radial k-space trajectories with densely sampled centers.
  • Applied an iterative non-Cartesian sensitivity encoding (SENSE) reconstruction algorithm.

Related Experiment Videos

  • Extracted in vivo coil sensitivity maps directly from central k-space data.

    • Main Results:

    • Successfully demonstrated self-calibrated spiral and radial parallel imaging.
    • Coil sensitivity maps were extracted without additional acquisition time or protocol modifications.
    • Eliminated potential mismatches caused by separate calibration scans.

    Conclusions:

    • Self-calibrating spiral and radial parallel MRI is feasible and advantageous.
    • This approach simplifies accelerated MRI acquisition protocols.
    • It improves robustness against patient motion by removing calibration scans.