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Knee imaging: Rapid three-dimensional fast spin-echo using compressed sensing.

Richard Kijowski1, Humberto Rosas1, Alexey Samsonov1

  • 1Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.

Journal of Magnetic Resonance Imaging : JMRI
|October 12, 2016
PubMed
Summary
This summary is machine-generated.

Compressed sensing (CS) significantly reduces scan time for knee 3D-FSE MRI by 30%. This acceleration in imaging does not compromise diagnostic accuracy or signal-to-noise ratio, making it feasible for clinical use.

Keywords:
3Dcompressed sensingfast spin-echoknee

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Area of Science:

  • Magnetic Resonance Imaging
  • Medical Imaging Technology
  • Radiology

Background:

  • Three-dimensional fast spin-echo (3D-FSE) is a vital MRI technique for knee joint evaluation.
  • Accelerating 3D-FSE imaging is desirable to improve patient comfort and throughput.
  • Compressed sensing (CS) is an emerging technique with the potential to reduce MRI acquisition times.

Purpose of the Study:

  • To evaluate the feasibility of using compressed sensing (CS) to accelerate three-dimensional fast spin-echo (3D-FSE) knee MRI.
  • To assess if CS acceleration impacts image quality (SNR) and diagnostic performance in knee imaging.

Main Methods:

  • A 3D-FSE sequence with and without CS was performed on 10 healthy volunteers and 50 symptomatic patients at 3T.
  • Signal-to-noise ratio (SNR) was measured for cartilage, muscle, synovial fluid, and bone marrow.
  • Two musculoskeletal radiologists independently reviewed images for the presence of knee pathologies, comparing CS and non-CS sequences.
  • Diagnostic performance was validated against arthroscopic surgery findings in 18 patients.

Main Results:

  • Compressed sensing (CS) reduced scan time by 30% (3:16 min vs. 4:44 min) without affecting SNR across various knee tissues.
  • Near-perfect agreement was observed between CS and non-CS sequences for detecting cartilage lesions, meniscal tears, ACL tears, and effusions.
  • Sensitivity and specificity for detecting pathologies were comparable between the two sequences, with surgical confirmation in 18 patients.

Conclusions:

  • Compressed sensing (CS) is a feasible technique for accelerating 3D-FSE knee MRI.
  • CS allows for significant scan time reduction without compromising image quality or diagnostic accuracy.
  • This acceleration has the potential to enhance the clinical utility of 3D-FSE knee MRI.