Three dimensional MRI based on compressed sensing technology in diagnosis of meniscal injuries
10.13929/j.issn.1003-3289.2020.10.025
- VernacularTitle: 基于压缩感知技术三维MRI用于半月板损伤
- Author:
Peiqi MA
1
Author Information
1. Departement of Imaging Center, Fuyang People's Hospital
- Publication Type:Journal Article
- Keywords:
Compressed sensing;
Knee joint;
Magnetic resonance imaging;
Tibial meniscus injuries
- From:
Chinese Journal of Medical Imaging Technology
2020;36(10):1533-1536
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the feasibility of three dimensional MRI (3D-MRI) based on compressed sensing (CS) in knee joint imaging and its value in assessing meniscal injuries. Methods: Knee MRI were performed on 26 patients with suspected knee injury (injured group) and 30 healthy volunteers (control group). Conventional fat saturation proton density-weighted imaging (fsPDWI) and CS-3D-MRI were collected. The results of arthroscopy of injured group were recorded. MRI of the right knee were obtained in control group, then CS-3D-MRI were reconstructed with 3 different denosing (DS) levels (CS-DSweak, CS-DSmedium, CS-DSstrong), and the sagittal image quality was evaluated subjectively and objectively. Patients in injured group received MRI before arthroscopy. CS-3D-MRI of injured group were reconstructed with CS-DSmedium, and the consistency of CS-3D-MRI diagnostic results with those of arthroscopy was analyzed. Results: For images of control group, there was no statistical difference of the quality scores of reconstructed CS images of different DS levels and fsPDWI (Z=0.35, P=0.32), while statistically significant differences of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were found in images obtained with 4 different sequences (F=36.01, 9.62, both P<0.05), and SNR of CS-DSstrong images was the highest (P<0.05). No significant difference of CNR in CS-DSmedium image and fsPDWI was found (P>0.05). CS-3D-MRI diagnosed meniscus injuries in all patients in injury group, highly consistent with results of arthroscopy (Kappa=0.94, P<0.01). Conclusion: Based on CS technique, 3D-MRI could be used for knee joint imaging, which was able to shorten scanning time on the premise of ensuring image quality, therefore had good value for evaluation on meniscus injuries.
