Keywords: Whole Joint, Joints
Motivation: The application of 3D SPACE-DIXON techniques for musculoskeletal MRI has advantages in terms of fat suppression capacities, but drawbacks with regard to substantially longer acquisition times compared with SPAIR fat suppressed 3D SPACE.
Goal(s): To reduce the acquisition time of 3D SPACE-DIXON to that of 3D SPACE-SPAIR while maintaining superior fat suppression capabilities.
Approach: Six-fold CAIPIRINHA acceleration was combined with a deep learning-based image reconstruction algorithm to decrease the acquisition time and maintain image quality.
Results: Image quality parameters in volunteer scans were rated equivalent to the conventional 3D SPACE-DIXON sequence and superior to the 3D SPACE-SPAIR sequence.
Impact: We present a 3D SPACE-DIXON technique with improved fat suppression performance and similar acquisition time compared with 3D SPACE-SPAIR for musculoskeletal 3D MRI. Preliminary in vivo results indicate the clinical utility of this technique for proton density-weighted 3D MRI.
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