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Accelerating anatomical 2D turbo spin echo imaging of the ankle using compressed sensing
Alexandra S Gersing1, Jannis Bodden2, Jan Neumann2
1Department of Radiology, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany; Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, Suite 350, San Francisco, CA, 94107, USA.
European Journal of Radiology
|July 15, 2019
Summary
Compressed sensing (CS) accelerates ankle MRI scans by 20% without compromising diagnostic image quality. This technique maintains signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), proving feasible for clinical use.
Area of Science:
- Radiology
- Medical Imaging
- Biomedical Engineering
Background:
- Accelerating MRI scans is crucial for patient comfort and throughput.
- Compressed Sensing (CS) is an emerging technique for faster MRI acquisition.
- Assessing the diagnostic value of CS in ankle imaging is important.
Purpose of the Study:
- To evaluate the feasibility and diagnostic utility of compressed sensing (CS) for accelerating 2D turbo spin echo ankle MRI.
- To compare image quality, SNR, and CNR between CS-accelerated and conventional SENSE-only sequences.
Main Methods:
- 20 volunteers underwent 3T MRI of the ankle using SENSE-only and CS+SENSE sequences.
- Coronal, sagittal, and axial sequences were acquired.
- Image quality, SNR, and CNR were assessed by two radiologists and compared statistically.
Main Results:
- Compressed sensing reduced acquisition time by 20% without significant decrease in diagnostic image quality.
- Interreader agreement for image quality assessment was substantial to excellent (κ=0.75-0.89) for both methods.
- No significant differences in SNR or CNR were observed between SENSE-only and CS+SENSE sequences.
Conclusions:
- Compressed sensing is a feasible technique to accelerate ankle MRI.
- CS reduces MRI acquisition time by 20% while preserving diagnostic image quality, SNR, and CNR.
- This acceleration can improve patient experience and workflow efficiency in musculoskeletal MRI.
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