Observation of angular dependence of T1 in the human white matter at 3T

Article type: Research Article

Authors: Knight, Michael J. | Damion, Robin A. | Kauppinen, Risto A.^{; *}

Affiliations: School of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK

Correspondence: [*] Corresponding author: Risto Kauppinen, School of Psychological Science, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK. Tel.: + 44 117 928 8461; E-mail: [email protected].

Abstract: Background and objective:Multiple factors including chemical composition and microstructure influence relaxivity of tissue water in vivo. We have quantified T1 in the human white mater (WM) together with diffusion tensor imaging to study a possible relationship between water T1, diffusional fractional anisotropy (FA) and fibre-to-field angle. Methods:An inversion recovery (IR) pulse sequence with 6 inversion times for T1 and a multi-band diffusion tensor sequence with 60 diffusion sensitizing gradient directions for FA and the fibre-to-field angle θ (between the principal direction of diffusion and B0) were used at 3 Tesla in 40 healthy subjects. T1 was assessed using the method previously applied to anisotropy of coherence lifetime to provide a heuristic demonstration as a surface plot of T1 as a function of FA and the angle θ. Results:Our data show that in the WM voxels with FA > 0.3 T1 becomes longer (i.e. 1/T1 = R1 slower) when fibre-to-field angle is 50–60°, approximating the magic angle of 54.7°. The longer T1 around the magic angle was found in a number of WM tracts independent of anatomy. S0 signal intensity, computed from IR fits, mirrored that of T1 being greater in the WM voxels when the fibre-to-field angle was 50–60°. Conclusions:The current data point to fibre-to-field-angle dependent T1 relaxation in WM as an indication of effects of microstructure on the longitudinal relaxation of water.

Keywords: Longitudinal relaxation time, relaxation anisotropy, white matter

DOI: 10.3233/BSI-180183

Journal: Biomedical Spectroscopy and Imaging, vol. 7, no. 3-4, pp. 125-133, 2018