Application of compressed sensing-mDIXON,spectrally attenuated inversion recovery and short-time of inversion recovery techniques in lumbar MR scanning
LIU Peng
NIU Meichen
LIU Hong
Abstract：Objective To study the application value of compressed sensing(CS)combined with mDIXON technique,spectrally attenuated inversion recovery(SPAIR)technique and short-time of inversion recovery(STIR)technique in lumbar MR by suppressing fat.Methods A total of 60 patients with lumbar diseases who underwent MR examination in Fuyang People's Hospital from September 7,2023 to January 9,2024 were selected for sagittal T2WI scans with techniques of CS-mDIXON,SPAIR and STIR.The image quality of the three groups were subjectively evaluated by two doctors using 5-point system.A region of interest was placed in the median position and relevant air area of the L2 and L5 vertebral bodies and L1/2 and L5/S1 intervertebral discs.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.Results The subjective scores were consistent(Kappa>0.75).CS-mDIXON technique has better scores than SPAIR technique and STIR technique(P<0.05);At the level of L2 and L5,the signal value and noise value of the three groups increased in turn,and the differences were statistically significant(P<0.001).The SNR and CNR values of CS-mDIXON technique were higher than those of SPAIR and STIR technique,and the differences were statistically significant(P<0.001);At the level of L1/2 and L5/S1,the signal intensity values of CS-mDIXON technique were lower than those of the latter two groups,and the differences were statistically significant(P<0.001).The noise values of the three groups increased in turn,while the SNR and CNR values of the three groups decreased in turn,and the differences were statistically significant(P<0.001).Conclusion In lumbar MR Scanning,CS-mDIXON technique has a better effect on fat suppression and reduces the scanning time,and it can be the best choice for the scan of lumbar MR by fat suppressing sequence.
Keywords：lumbarfat suppressioncompressed sensingimage qualitymagnetic resonance imaging
Publication Date：2024-03-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 304-310 )