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- W4308685719 abstract "Purpose Quantitative magnetization transfer (QMT) using selective inversion recovery (SIR) can quantify the macromolecular‐to‐free proton pool size ratio ( PSR ), which has been shown to relate closely with myelin content. Currently clinical applications of SIR have been hampered by long scan times. In this work, the acceleration of SIR‐QMT using CS‐SENSE (compressed sensing SENSE) was systematically studied. Theory and Methods Phantoms of varied concentrations of bovine serum albumin and human scans were first conducted to evaluate the SNR, precision of SIR‐QMT parameters, and scan time. Based on these results, an optimized CS‐SENSE factor of 8 was determined and the test–retest repeatability was further investigated. Results A whole‐brain SIR imaging of 6 min can be achieved. Bland–Altman analyses indicated excellent agreement between the test and retest sessions with a difference in mean PSR of 0.06% (and a difference in mean R 1f of −0.001 s −1 ). In addition, the assessment of the intraclass correlation coefficient (ICC) revealed high reliability in nearly all the white matter and gray matter regions. In white matter regions, the ICC was 0.93 (95% confidence interval [CI]: 0.88–0.96, p < 0.001) for PSR , and 0.90 (95% CI: 0.83–0.94, p < 0.001) for R 1f . In gray matter, ICC was 0.84 (95% CI: 0.66–0.93, p < 0.001) in PSR , and 0.98 (95% CI: 0.95–0.99, p < 0.001) for R 1f . The method also showed excellent capability to detect focal lesions in multiple sclerosis. Conclusion Rapid, reliable, and sensitive whole‐brain SIR imaging can be achieved using CS‐SENSE, which is expected to significantly promote widespread clinical translation." @default.
- W4308685719 created "2022-11-14" @default.
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- W4308685719 date "2022-11-09" @default.
- W4308685719 modified "2023-09-26" @default.
- W4308685719 title "Rapid whole‐brain myelin imaging with selective inversion recovery and compressed <scp>SENSE</scp>" @default.
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- W4308685719 doi "https://doi.org/10.1002/mrm.29512" @default.
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- W4308685719 hasPublicationYear "2022" @default.
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