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Motion correction strategies in cardiac and abdominal MRI improve image quality and reduce repeat scans. Both prospective and retrospective techniques are reviewed, with AI integration emerging as a key trend for robust imaging.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Magnetic Resonance Imaging (MRI) offers excellent soft tissue contrast for cardiac and abdominal organs.
  • Physiological motion (cardiac, respiratory, peristalsis) significantly degrades MRI quality, causing artifacts and necessitating repeat scans.
  • Effective motion correction is crucial for accurate diagnosis and reproducible quantitative biomarkers.

Purpose of the Study:

  • To review current motion correction strategies for cardiac and abdominal MRI.
  • To discuss the principles and clinical applications of prospective and retrospective motion correction techniques.
  • To highlight emerging trends and future directions in motion-compensated MRI.

Main Methods:

  • Categorization of techniques into prospective (real-time adjustments) and retrospective (post-reconstruction corrections).
  • Examples include gating, navigator echoes, k-space binning, image registration, and model-based reconstructions.
  • Discussion of methods for rigid and non-rigid motion, including elastic registration and motion-compensated reconstruction.

Main Results:

  • Both rigid and non-rigid motion present unique challenges, requiring tailored correction approaches.
  • Application-specific solutions are presented for cardiac (cine, flow, tagging, mapping) and abdominal (liver, kidney, GI tract) imaging.
  • Motion correction mitigates artifacts, improves diagnostic performance, and enhances image reproducibility.

Conclusions:

  • Motion correction is essential for robust and high-quality cardiac and abdominal MRI.
  • Emerging trends like AI integration and advanced sensors promise further improvements.
  • Increased availability of tools will facilitate routine clinical adoption, improving patient experience and diagnostic confidence.