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Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
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Free-breathing self-gated 4D lung MRI using wave-CAIPI.

Julian A J Richter1,2, Tobias Wech1, Andreas M Weng1

  • 1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.

Magnetic Resonance in Medicine
|August 9, 2020
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Summary

Wave-CAIPI (controlled aliasing in parallel imaging) trajectory reduces undersampling artifacts in 4D lung MRI compared to Cartesian sampling. This technique enhances image quality or shortens scan times for accelerated free-breathing lung MRI.

Keywords:
free-breathinglungself-gatedwave-CAIPI

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Area of Science:

  • Medical Imaging
  • Radiology
  • Magnetic Resonance Imaging

Background:

  • Accelerated MRI techniques are crucial for reducing scan times and improving patient comfort.
  • Free-breathing 4D lung MRI presents challenges due to respiratory motion.
  • Optimizing k-space trajectories is key to enhancing image quality in accelerated MRI.

Purpose of the Study:

  • To compare the performance of the wave-CAIPI (controlled aliasing in parallel imaging) trajectory against standard Cartesian sampling for accelerated free-breathing 4D lung MRI.
  • To evaluate the impact of wave-CAIPI on image quality metrics such as information loss and artifact levels.

Main Methods:

  • Wave-CAIPI k-space trajectory implemented in a respiratory self-gated 3D spoiled gradient echo sequence.
  • Image reconstruction using iterative conjugate gradient SENSE (CG SENSE) with trajectory correction.
  • Quantitative comparison using normalized mutual information and RMS error in five healthy volunteers and one patient.

Main Results:

  • Wave-CAIPI demonstrated 10% higher normalized mutual information, indicating lower information loss during acceleration.
  • Root-mean-square (RMS) error was 19% lower, and signal-to-noise ratio (SNR) was 14% higher with wave-CAIPI.
  • Undersampled Cartesian images showed increased artifacts at short acquisition times (down to 1 minute) compared to wave-CAIPI.

Conclusions:

  • Wave-CAIPI effectively reduces undersampling artifacts in 4D lung MRI compared to Cartesian acquisition at the same scan time.
  • The benefits of wave-CAIPI allow for either shorter scan durations or improved image quality in accelerated 4D lung MRI acquisitions.
  • Wave-CAIPI is a promising technique for enhancing accelerated free-breathing 4D lung MRI.