Ye Li1, Guangbin Wang1, Weibo Chen2, and Aocai Yang1
1Shandong Medical Imaging Research Institute,Shandong University, Jinan, China, 2Philips Healthcare, Shanghai, China
Synopsis
The current work evaluates the influence of compressed sensing accelerated imaging on the T1ρ mapping. Quantitative evaluation is done using quantitative T1ρ mapping for knee cartilage quantification. T1ρ quantification after CS-accelerated acquisition was compared with non-CS-accelerated acquisition for central patella cartilage.
Introduction
Quantitative T1ρ mapping has been used as a novel MRI sequence for many biomedical applications, including neurodegenerative, cardiovascular, body, and musculoskeletal imaging to assess early macromolecular changes rather than conventional morphological imaging1,2,3 .Quantitative T1ρ imaging requires the acquisition of multiple images with different spin-lock times (TSLs) to generate the T1ρ maps. This translates into long scan times, thus limiting the widespread clinical use of this technique4,5. Thus, the goal of this study was to evaluate the accuracy of accelerated T1ρ mapping for knee cartilage quantification.Materials and Methods
Compressed sensing (CS) is still a new technique for accelerating image acquisition. It relies on the inherent sparsity and compressibility of MR data to overcome undersampling-induced artifacts in the acquired data6,7. Keeping good image quality as acceleration factor (AF) increases is extremely important for rapidly obtaining good relaxation maps8. Successful CS acceleration is obtained when the incoherently measured data are accurate9. A sequential combination of CS, during data acquisition with different acceleration factor (AF) was used to accelerate the acquisition of T1ρ maps. Quantitative evaluation: T1ρ maps acquired at different CS-accelerated factors by 2-8 were computed and mean T1ρ values of central patella cartilage were statistically compared using the ANOVA test. After obtaining informed consent, eight adult healthy volunteers were imaged for this study. T1ρ quantification after non CS-accelerated acquisition(NCS-T1ρ)served as reference from CS-accelerated quantification(CS-T1ρ). Imaging was performed on a 3.0T Philips ingenia CX system using the T1ρ sequence. Figure 1 shows sequence parameters of T1ρ mapping with different acceleration factors.Results
Figure 2 shows NCS-T1ρ and various CS-T1ρ images from one of the volunteers. Intra- cartilage contrast is visually similar between the images. Figure3 and Figure4 shows the mean T1ρ values along with the corresponding standard deviations from eight subjects. Statistically, measurements from the NCS-T1ρ and CS-T1ρ with different AF were found to be statistical difference (p<0.05) in all the subjects. However, there was no significant difference of T1ρ values between the NCS-T1ρ and the CS-T1ρ in AF of 2 and 8.Discussion
CS-T1ρ MR imaging provides equivalent image quality compared with corresponding NCS-T1ρ MR imaging in volunteers. CS acceleration does not appear to adversely impact overall image quality relative to the corresponding conventional acquisitions. The increasing standard deviation in T1ρ maps with increasing AF except for AF=8. It is consistent with CS algorithms where incoherent aliasing increases with increasing factors.CS-T1ρ with an acceleration factor of 2 was not influenced T1ρ values significantly when compared with the NCS-T1ρ acquisition. Limitations: The clinical cohort evaluated was relatively limited in size. Additionally, current study evaluated imaging acceleration using CS in healthy volunteers. Individuals with osteoarthritis were not included in our clinical cohort. Furthermore, the sample size in evaluation was small. Future studies will focus on evaluation in early osteoarthritis with larger sample size, along with comparison with accelerated T1ρ mapping.Conclusion
Accelerated T1ρ mapping of cartilage with CS is feasible up to measure knee cartilage. Furthermore, mean T1ρ values were not influenced by CS ,up to AF 2. These results show that this technique holds great promise in making T1ρmapping more accessible for clinical applications.Acknowledgements
No acknowledgement found.
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