Currently there are no reliable non-invasive means for assessing the severity and progression of fibrosis in kidneys. Here we evaluate spin-lock MR imaging with different locking fields for detecting progressive renal fibrosis in an hHB-EGFTg/Tg mouse model. We fit the dispersion of spin-lock relaxation rates R1ρ at different locking fields (frequencies) to a model of exchanging water pools and assessed the value of the derived quantities for detecting tubulointerstitial fibrosis in kidney, including the transverse relaxation rate (R2), the asymptotic value of R1ρ at high locking frequency (R1ρinf), an exchange rate-weighted parameter Sρ, and the inflection frequencies ωinfl in the dispersion.
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