Deep learning-based acceleration of Compressed Sense MR imaging of the ankle

Foreman, Sarah C.; Neumann, Jan; Han, Jessie; Harrasser, Norbert; Weiss, Kilian; Peeters, Johannes M.; Karampinos, Dimitrios C.; Makowski, Marcus R.; Gersing, Alexandra S. und Woertler, Klaus (2022): Deep learning-based acceleration of Compressed Sense MR imaging of the ankle. In: European Radiology, Bd. 32, Nr. 12: S. 8376-8385

Abstract

Objectives To evaluate a compressed sensing artificial intelligence framework (CSAI) to accelerate MRI acquisition of the ankle. Methods Thirty patients were scanned at 3T. Axial T2-w, coronal T1-w, and coronal/sagittal intermediate-w scans with fat saturation were acquired using compressed sensing only (12:44 min, CS), CSAI with an acceleration factor of 4.6-5.3 (6:45 min, CSAI2x), and CSAI with an acceleration factor of 6.9-7.7 (4:46 min, CSAI3x). Moreover, a high-resolution axial T2-w scan was obtained using CSAI with a similar scan duration compared to CS. Depiction and presence of abnormalities were graded. Signal-to-noise and contrast-to-noise were calculated. Wilcoxon signed-rank test and Cohen's kappa were used to compare CSAI with CS sequences. Results The correlation was perfect between CS and CSAI2x (kappa = 1.0) and excellent for CS and CSAI3x (kappa = 0.86-1.0). No significant differences were found for the depiction of structures between CS and CSAI2x and the same abnormalities were detected in both protocols. For CSAI3x the depiction was graded lower (p <= 0.001), though most abnormalities were also detected. For CSAI2x contrast-to-noise fluid/muscle was higher compared to CS (p <= 0.05), while no differences were found for other tissues. Signal-to-noise and contrast-to-noise were higher for CSAI3x compared to CS (p <= 0.05). The high - resolution axial T2-w sequence specifically improved the depiction of tendons and the tibial nerve (p <= 0.005). Conclusions Acquisition times can be reduced by 47% using CSAI compared to CS without decreasing diagnostic image quality. Reducing acquisition times by 63% is feasible but should be reserved for specific patients. The depiction of specific structures is improved using a high-resolution axial T2-w CSAI scan.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0938-7994
• Sprache: Englisch