Correction of errors in estimates of T1ρ at low spin‐lock amplitudes in the presence of B0 and B1 inhomogeneities

• Published in: NMR in biomedicine Vol. 36; no. 9; pp. e4951 - n/a
• Main Authors: Zu, Zhongliang, Adelnia, Fatemeh, Harkins, Kevin, Wang, Feng, Ostenson, Jason, Gore, John C.
• Format: Journal Article
• Language: English
• Published: Oxford Wiley Subscription Services, Inc 01.09.2023
• Subjects: Amplitudes; Biological products; Brain; Capillaries; Decay; Diffusion; Dispersion; Errors; Estimates; Inhomogeneity; Locking; low power; Magnetization; Mathematical models; Microvasculature; Neuroimaging; R1ρ fitting error; spin‐lock; susceptibility gradients; Theoretical analysis; vessel size
• ISSN: 0952-3480; 1099-1492; 1099-1492
• DOI: 10.1002/nbm.4951

Relaxation rates R1ρ in the rotating frame measured by spin‐lock methods at very low locking amplitudes (≤ 100 Hz) are sensitive to the effects of water diffusion in intrinsic gradients and may provide information on tissue microvasculature, but accurate estimates are challenging in the presence of B0 and B1 inhomogeneities. Although composite pulse preparations have been developed to compensate for nonuniform fields, the transverse magnetization comprises different components and the spin‐lock signals measured do not decay exponentially as a function of locking interval at low locking amplitudes. For example, during a typical preparation sequence, some of the magnetization in the transverse plane is nutated to the Z‐axis and later tipped back, and so does not experience R1ρ relaxation. As a result, if the spin‐lock signals are fit to a monoexponential decay with locking interval, there are residual errors in quantitative estimates of relaxation rates R1ρ and their dispersion with weak locking fields. We developed an approximate theoretical analysis to model the behaviors of the different components of the magnetization, which provides a means to correct these errors. The performance of this correction approach was evaluated both through numerical simulations and on human brain images at 3 T, and compared with a previous correction method using matrix multiplication. Our correction approach has better performance than the previous method at low locking amplitudes. Through careful shimming, the correction approach can be applied in studies using low spin‐lock amplitudes to assess the contribution of diffusion to R1ρ dispersion and to derive estimates of microvascular sizes and spacings. The results of imaging eight healthy subjects suggest that R1ρ dispersion in human brain at low locking fields arises from diffusion among inhomogeneities that generate intrinsic gradients on a scale of capillaries (~7.4 ± 0.5 μm). We introduced a new method to correct B1 and B0 shifts in spin‐lock dispersion imaging at low locking fields (i.e., < 100 Hz) and used it to estimate the susceptibility spacing in brains. Results show that the new method has better performance than conventional methods and the fitted susceptibility spacing may reflect microvasculature.